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Maryland Sea Grant Final Report.

1. In our example watershed analysis Add teams we left off at the pixel based velocity Add Wutlets method time of concentration calculation PESEE of about 38 5 hours The new Velocity Segment Generator Dialog is accessed through a new menu choice on the CRWR PrePro menu just beneath the existing Calculate Attributes choice The new choice shown at right is Combine Longest Flow Path Segments Selecting this choice produces the dialog shown below in Figure 3 The dialog initially appears blank when it is first opened so E Segment use the Select r Select Sub Area Sub Area tool Create Update Segment Delineate SubWwaterstheus Merge Selected Subwatersheds stir Set Tc Parameters Calculate Attributes Combine Longest Flow Path Segments Write Sub Area Land Use Distribution Ctrl G Generate Schematic and select one sub area from the watershed to be Velocity Method Statistics Sub Area 0 studied In this Quick Merge Overal Te hrst EFA case the I Single Overland watershed is being I Single Swale Overland Te hrs 0 174 Single Channel Swale Tc hrs 0 841 Channel Tc hrs 37 559 treated as a single area so this tool is used only once If the watershed has been sub divided Merge Specific Segment Upstream Pixel Overland Segments 1 Swale Segments 11 into multiple stib Downstream Pixel areas then the t
2. cssssccccseseececeeseeeececeeaeeecesaeeecsseeeaeceeeenaeeeeeees 37 Sensitivity of Hydrologic Change to Forecasted Land Use Change ccccccsessssececeeeeeesesseaeees 41 GISHydro User s Manual PAC VAG WCU OW al se menan a a a a a a a a a aaea aa aa 44 Getting and using a GISHydroweb account sesssssssssssesersssssseeeretsssssseerreestssssesrrereessssssererreesa 49 File Management basics for GISHYGroWeD ccecsssccecececessesseaecececeesceesesaeaeseceesenssnssaaeeeeeeeens 52 DelMarVa Analysis Exercises Exercise 1 A Collection of Background Exercises From Other Sources c cccccccccessssssseceeeeeees 56 Exercise 2 The DelMarVa Interface Choosing Scenarios cccccccccscsssssssseeeceeeeessesseeeeeeeeens 57 Exercise 3 Setting the Land Use Condition Managing SC nariOS c cccccccecessssssseeeeeeees 60 Example Changing Flood Frequency Behavior c cccccccccsssessssececeeecessessnssseseeeessessesseaeeas 61 Example TR 20 Rainfall RUunoff Analysis ccccccesscscecececsesesseseeeceeeeessessasaeseeeeeseesessaaeess 62 Example Nutrient Loading Analysis ccccccccccssssssssececeeecessessesececeeeescseseaeaeeeeseseessesseaeess 64 Example Continuing Nutrient Loading Analysis in Excel cc cccccccccesssssstsceeeeeeesessssseaees 65 ROTOR GIIC EAEE AE EE ESE E E EEEE 70 Appendices Appendix A Sea Grant Research Files Index c ccc
3. Current Planning Res Scarcity Current Planning Res Scarcity 1996 1999 2002 2005 2008 2011 2014 2017 2020 2023 2026 2029 Year Figure 8 The total amount of growth simulated by SLEUTH for each scenario for 2030 GAMe estimates were used to constrain the total amount of growth for each scenario of population and employment green lines indicate headship rate increase red lines indicate headship rate constant blue lines indicate headship rate decline Using the data inputs described in the preceding paragraphs SLEUTH generated nine sets of urban land cover forecasts for 2030 three land use policy scenarios times three GAMe scenarios see figures 9 and 10 for examples 33 HM 1996 Urban land cover Hl 2005 Urban land cover 2030 Probability of development 0 10 11 20 m 21 30 E 31 40 ig 41 50 Hl 51 60 E 61 70 Hl 71 80 Hg 81 90 Hl 91 100 Figure 9 An example showing historic urban growth in black and blue and forecasted urban growth in shades of orange for Salisbury MD at 30 m resolution for the headship increase current trends scenario Delmarva Forecasted Growth 2030 HS increase 2005 Percent developed Percent increase from 2005 2030 Percent developed Legend Legend Legend __ 0 04 4 00 __ 0 00 1 00 0 04 1 00 E 1 01 2 00 E
4. CRWR PrePro Generate Schematic 8 Choose the X tool from the GIS interface and indicate all cross sections for routing reaches shaded as light green on the the schematic that appears in the Area of Interest view Click OK to accept each cross section you create 9 Choose TR 20 Interface Precipitation Depths Indicate all storms you wish to study Close dialog 10 Choose TR 20 Interface Control Panel Choose storms and set additional non GIS information Close dialog 11 Choose TR 20 Interface ExecuteTR 20 You will be prompted with several questions about the information and file management of TR 20 Recommend you respond Yes No No and finally Yes to these questions Future Analysis unlike previously several steps need only be done once in the current analysis and do not need to be repeated a second time These steps that do NOT need to be repeated are steps 3 4 5 8 and 9 63 12 Choose CBPO Loading Set Current Future Land Use Condition Click on Future Land Use Click OK 13 Choose Hydro Basin Statistics An output dialog of watershed characteristics will appear Click OK A file browser dialog will appear Specify a unique descriptive name such as futurebasinstat txt Click OK 14 Choose CRWR PrePro Calculate Attributes 15 Choose CRWR PrePro Generate Schematic 16 Choose
5. 0 326 Merge check boxes for a Channel Tc hrs 37 558 just these two elements of vie are Sear Overland Seaments 7 he tfl th Upstream Pixel 3 the longest flow path ER Swale Segment 1 Although not shown this PAORS 140 Channel Segments 30 results in a calculated only slightly reduced from the default 38 57 hours to Dora Diabo 38 06 hours We now take on the Figure 7 Merging the first channel segment from upstream pixel task of reducing the 13 to downstream pixel 140 C 54 channel flow portion of the longest flow path from 380 segments to 3 BG pitas i i segments of roughly Velocity Method Statistics equal size This would Create Update Segme SubArea jo mean each segment is Quick Merge TEA composed of an v oe o E 380 3 or approximately A ea oo m 127 pixels The very first Me iii Swale Te Ihs 0 326 channel pixel commences TEENE Channel Te this 12 427 at UpPixel 13 so the u 4 n ae ne Overland Segments 7 first segment would end pa Swale Segments 1 at DownPixel 140 Downstream Pixel ee This is shown in Figure 7 at the moment before pressing the Recalculate Pe Dies Tc button After pressing that button the Figure 8 The Velocity Method Segment Generator after the channel overall e becomes 30 18 portion of the longest flow path has been merged into 3 segments hours and the number of channel segments is reduced to
6. 1_ intro _Itr pdf 2 full toc pdf 3 statewide ctp pdf 4 statewide ctp pdf 5_statewide_ctp pdf 6 air Itr pdf 7 cert pln Itr pdf 8 auth rpt pdf 9 pave _plan pdf 0 statewide ctp pdf 1_statewide_ctp pdf 2 statewide ctp pdf 3 necl ctp pdf 4 nec2 ctp pdf 5_kent_ctp pdf 6 sussex_ctp pdf 7_list_of projects pdf 8 fhwa pdf 9_FTA pdf 20 appendices pdf 21 _appendices pdf 22 appendices pdf Return to Data Contents List DE DelDOT FY2005 Operating Capital Budget Requests e 1 nathan intro _letter pdf e 1 sub letter_05 pdf e 2 requests fin plan 05 pdf e 3 op bud cklst_05 pdf e 4 bud org struc _no chgs 05 pdf e 5_op bud red_05 pdf 6_op bud add _05 pdf e 7_op bud reg rank 05 pdf e 8 op narr svc _lvls_05 pdf e 9 sal health care_rec_05 pdf e 10 phrst pos xfers_a pdf e 11 cap bud cklst_05 pdf A7 of 11 8 11 2011 9 55 A Sitemap A8 of 11 12 cap bud narr pdf cap proj list 05 pdf cap proj list_06 pdf cap proj list_07 pdf DE DelDOT FY2006 Operating Capital Budget Requests 1_coverletter pdf 2006 _budget_request_6_yr _financial_plan_102004 pdf 2006 operating budget submission checklist pdf 2006 organization structure changes pdf 2006 operating budget 2 reduction pdf 2006 ranking unit _order pdf 2006 priority order pdf 2006 salary health care_rec pdf 8 dept 55_narrative pdf 9 2006 PHRST fte rpt pdf 10 2006 PHRST xfers rpt pdf 11 2006 PHRST fund switch rpt pdf 12_2006
7. In this exercise our starting point is a Society which shows the overall watershed subdivided into major tributary sub watersheds Our goal is to produce a polygon shapefile that approximates the watershed and sub divisions shown in the figure This polygon shapefile can then be used as our starting point for nutrient loading analysis 1 Click the Select Quads button looks like a Q and then indicate the USGS 7 5 minute quadrangles that cover your desired watershed This is done by either using the Pick tool in the select quadrangle s dialog box or by choosing the desired quads by name In this case the quads that are needed are Sandy_Spring Clarksville Kensington Beltsville Laurel_md Lanham Washington_east Washington_west Alexandria and Anacostia Sandy_Spring and Clarksville are now shown in the screen capture at right because they have scrolled off the top of the selected quads list Once you have selected all the quads needed you can simply click the Apply button District of Columbia 10 Quads Selectec Pick Tool abbottstown kensington aberdeen beltsville i Select DEM Data accident Add laurel_md ae NED DEMs airville lanham alexandria washington_east Select Landuse Data amaranth washington_west I 2002 MOP Landuse z anacostia alexandria Select Soils Data annapolis zi anacostia SSURGO Soils se 2002 MD DE Landuse d
8. Specify Output File Path c temp 16677 land use layers available for use e Base Low The Base scenarios represent a business as usual scenario for future growth and result in the most dispersed development of the different scenarios considered Low represents a lower bound for projected future development Base Linear Base scenario Linear represents a middle range of projected future development Base High Base scenario High represents an upper bound for projected future development Plan Low The Plan scenarios are the planning scenarios and generally result in more concentrated development relative to the Base scenarios Low as before represents a lower bound for projected future development Plan Linear Planning scenario with as before a middle range of projected future development Plan High Planning scenario with as before an upper bound for projected future development RS Low The RS scenarios are the resource scarcity scenarios and generally result in the most concentrated growth Low as before represents a lower bound for projected future development e RS Linear Resource scarcity scenario with as before a middle range of projected future development e RS High Resource scarcity scenario with as before an upper bound for projected future development Each of these choices corresponds to land cover layer as described earlier in the land use modeling
9. TR 20 Interface Control Panel Choose storms and set additional non GIS information Close dialog 17 Choose TR 20 Interface ExecuteTR 20 You will be prompted with several questions about the information and file management of TR 20 Recommend you respond Yes No No and finally Yes to these questions Example Nutrient Loading Analysis The final kind of analysis that the user is likely to be interested in performing concerns nutrient loading The background exercises relevant to this from Exercise 1 are from the GlISHydro Nutrient Loading Interpolator for the Chesapeake Bay Program Model Phase II document Exercises 1 2 and 3 Current Analysis 1 Choose CBPO Loading Set Current Future Land Use Condition Click on Current Land Use Click OK 2 Load polygon development file into view This can be an arbitrary polygon or it can be watershed polygon that was created during the watershed delineation step That is the assumption in this example Note that when a watershed is delineated GISHydro creates a shapefile of the watershed boundary called Shedtmp shp in the c temp xxxxx directory This is readily loaded into the view in this step This shapefile should be the first top shapefile in the GIS table of contents pane along the left edge of the view eee cries Set Development File You will be presented with Define Analysis Path and File a dialog such as the one
10. 12 400 39013 12760 2015 567193 152797 212880 150612 576503 197880 2015 104 560 20 890 51 100 34 610 39 940 30 980 95 340 52 730 27 810 2015 39473 12656 2020 583980 158986 229441 159130 603960 211889 2020 40 300 130 350 36 300 22 200 55 650 28 300 40 050 107 450 56 250 111 060 21 580 54 760 36 390 42 100 31 240 99 230 54 950 28 960 2020 44 500 12 200 40028 12630 Figure 4 Forecasts of Population for the Counties in the Study area 2005 2030 are based on the Delaware Population Consortium 2007 Annual Population Projections 2025 597348 164261 243392 168014 632773 226349 2025 117 850 22 330 58 530 38 220 44 430 31 540 103 380 57 260 30 190 2025 40706 12571 2030 606338 168340 254525 177394 662960 6 241795 8 2030 46 000 155 000 38 850 23 400 61 900 29 350 42 100 117 550 60 000 125 055 23 106 62 560 40 142 46 889 31 843 107 704 59 667 31 472 2030 46 500 12 000 41395 12512 Woods and Pool Forecast for Counties in Study Area TOTAL EMPLOYMENT THOUSANDS 2000 2010 2015 2020 2025 Change Change KENT DE TOTALP 127 03 142 43 150 61 159 13 168 01 40 98 32 NEW CASTLE DE 501 55 550 23 576 50 603 96 632 77 131 22 26 SUSSEX DE 157 65 184 18 197 88 211 89 226 35 68 70 44 CAROLINE MD 29 79 32 91 34 61 36 39 38 22 8 43 28 CECIL MD 86 33 98 24 10456 111 06 117 85 31 51 37 DORCHESTER MD 30 69 30 80 30 98 31
11. Planning September 2001 Goetz S J C A Jantz S D Prince A J Smith D Varlyguin and R K Wright Eds 2004 Integrated Analysis of Ecosystem Interactions with Land Use Change The Chesapeake Bay Watershed Ecosystems and Land Use Change Washington D C American Geophysical Union Hammer R B Stewart S I Winkler R L Radeloff V C Voss P R Charaterizing Dynamic Spational and Temporal Residential Density patterns from 1940 1990 across the North Central United States Landscape and Urban Planning 2004 69 183 199 Hayes T A Employment Density Study Summary Report The Natelson Company Inc Yorba Linda CA October 31 2001 Jantz C A Goetz S J Donato D amp Claggett P 2010 Designing and implementing a regional urban modeling system using the SLEUTH cellular urban model Computers Environment amp Urban Systems 34 1 1 16 70 Manton K G Gu X Lamb V L Long Term Trends in Life Expectancy and Active Life Expectancy in the United States Population and Development Review March 2006 32 1 81 105 Masnick G S and Belsky E S Household Projections in Retrospect and Prospect Lessons Learned and Applied to New 2005 2025 Projections Joint Center for Housing Studies Harvard University July 2009 WO9 5 McMillen D P Lester T W Evolving Subcenters Employment and Population Densities in Chicago 1970 2020 Journal of Housing Economics
12. The window on the right of the query builder lists the unique values for each field Select the Update Values check box and build the following query by double clicking on the Hwyname field selecting the relation and scrolling through the value list to find Randolph Road Hwyname RANDOLPH RD MD Major Roads Iof x Fields Values Statefips IV Update Values Hwyname RANDOLPH AD Add To Set Select From Set C 25 Once the query expression is typed press the New Set button to select Randolph Road from the MD Major Roads Theme With the selection made now we can zoom in to the 4 selected area by pressing the button Zoom to selected When this button is pressed View window will zoom to the extent of the selected Randolph Road which will be colored yellow Based on the location of the road use the 1 250k Baltimore DRG theme 1 250 000 USGS topographic map to estimate the overall size of the watershed you may have to turn off or re order some themes to see it drawn correctly Let s assume that we have identified the quads that cover the drainage area of the Northwest Branch in the general facility of Randolph Road They include Kensington Beltsville Clarksville Sandy_ Spring We will now use the Select Quads Dialog Box to select these quads Selecting Quads While in the Maryland View open the Select Quads Dialog Box using the Q
13. button from the button bar The dialog box shown below will open Select the four quads above from the alphabetical list or visually using the pick tool The quads are located just north of the northern most part of Washington DC The graphic below shows the selected quads GISHydro2000 Select Quadrangle s for Hydrologic Analysis x 340 Quads Available 4 Quads Selected Pick Tool abbottstown kensington aberdeen beltsville j Select DEM Data accident clarksville airville gt gt sandy_spring NED DEMs gt alexandria Select Landuse Data amaranth 2000 MOP Landuse _ anacostia Select Soils Data annapolis Ragan Soils z SSURGO soils data NOT COMPLETELY available for selected quad DEM Processing Parameters Hydrologic Condition lt Perform Processing Burn Streams Fl ced eel alle Enter Threshold Area pixels 250 Ai po C 26 Select Data Types The best resolution terrain data available in GISHydro2000 are the 30m USGS DEMs which comprise the National Elevation Dataset NED Use this data for this exercise Select 2000 MOP Land Use from the land use pull down menu For soils data select Ragan Soils Note that a warning message has appeared in the center of the dialog This is informing the user that for the SSURGO data there is only partial availability for the selected quads This is because not all Maryland counties are available in SSURGO format at present in this ca
14. 00 1 00 00 1 00 210024021 1 1 00 00 1 00 1 00 1 00 00 i 210024021 1 1 00 00 1 00 1 00 1 00 00 t Bs 210024021 a5 1 00 00 1 00 1 00 1 00 00 a 210024021 1 1 00 00 1 00 1 00 1 00 00 1 210024013 1 1 00 00 1 00 1 00 1 00 00 1 210024021 i 1 00 00 1 00 1 00 1 00 00 t Nitrogen Loading Table with BMPs active in tons year 210024013 210024021 3 11 4 ID COSEG hi_till lo_till hay pasture manure f mixed_open pervious_urban 2 210024021 1 5 3 6 1 5 6 2 2a 1 7 0 6 Miti t d 2 210024013 4 8 0 1 5 1 0 0 1 3 0 2 0 1 3 210024021 1 3 3 5 3 4 9 0 2 3 0 0 0 0 l iga e 4 210024021 1 1 4 8 2 1 9 3 3 6 0 0 0 0 5 210024021 0 4 0 1 6 1 4 0 0 7 1 0 0 5 Loads 6 210024021 0 5 i 2 0 1 8 0 0 9 1 3 0 6 7 1 8 0 0 5 0 4 0 0 5 0 6 0 2 8 0 0 0 0 2 0 2 0 0 1 0 6 0 3 8 2 Iz 7 7 L 5 4 2 3 0 1 1 6 31 a N He Potential next exercises Exercise 6 D 30
15. 0461 3350 12 8 68 66 0 0553 5130 15 4 72 76 0 0666 6920 123 74 86 0 0748 9190 19 3 76 16 0 0829 500 17200 23 7 76 96 0 1015 PREDICTION INTERVALS Return 50 PERCENT 67PERCENT SOPERCENT 95PERCENT Period lower upper lower upper lower upper lower upper 1220 1360 1190 1390 1130 1470 1100 1510 2160 2500 2090 2580 1950 2770 1880 2870 3070 3650 2950 3800 2710 4130 2590 4320 4630 5700 4400 5980 3980 6620 3770 6990 6150 7770 5820 8220 5200 9210 4890 9780 8070 10500 7590 11100 6690 12600 6260 13500 500 14700 20200 13700 21800 11700 25400 10800 27600 500 14700 20200 13700 21800 11700 25400 10800 27600 Estimates adjusted for proximity to station 1650500 C 41 Having calculated regression estimates for peak discharge using the available methods the next step is to select the Compare Discharges option from the Hydro menu Some calculations are performed and a file dialog prompts the user to specify a location for an output file Although not directly displayed an ArcView table contains the discharge estimates and error bound for each respective regression method The table is called OVERALL Calculated Discharges and can be viewed in the list of ArcView tables after the Compare Discharges option is selected from the Hydro menu T OVERALL Calculated Discharges i Afamevate SE 1360 0 999 0 A graphical comparison of the discharges may be created by clicking on
16. 1 means there are no BMP reductions for this entry Each row corresponds to an individual polygon in the development file Block 4e Nitrogen Loading Table with BMPs active in tons year This block is the counterpart to Block 4b except that now BMP effects are taken into account Each row in this block presents the loadings of nitrogen for each polygon in the development file This block is essentially the product of the land use presented in Block 2 the loading rates presented in Block 4a and the alpha and beta values presented in Blocks 4c and 4d Phosphorus Block 5a CALIBRATION VALUES LOADINGS Phosphorus Loading Rate Table in lbs acre year This block presents the phosphorus loading rates by land use for each intersected CBPO co segment by the development file Each row corresponds to an individual co segment e Block 5b Phosphorus Loading Table in tons year Each row in this block presents the unmitigated by BMPs loadings of phosphorus for each polygon in the development file This block is essentially the product of the land use presented in Block 2 and the loading rates presented in Block 5a e Block 5c Phosphorus aggregate alpha BMP values This block presents the additive BMP scaling factors based on the BMPs specified in Block 3 A scaling factor of 1 means there are no BMP reductions for this entry Each row corresponds to an individual polygon in the development file e Block 5d Phosphorus aggregate beta BMP values T
17. 11 2011 9 55 A Sitemap file C Users Glen AppData Local Temp contents html RESEARCH CNU 2004 NewUrbanismBibliography pdf RESEARCH CNU 2005 Update NewUrbanismBibliography pdf SEWAGE 10K FRIENDS SewagePlanningAndDevInSE PA pdf SEWAGE COHEN 2004 WaterSupplyAsFactorLocalGrowth pdf SEWAGE ELI 1999 PlumbingFuture InfrastructureSustainability pdf SEWAGE ELI 2005 PlanningDev_ Sewage Infrastructure pdf SEWAGE ELI 2005 SEWAGE ContactInfoMaybe Sewage Facilities and Land Use Conference Brochure pdf SEWAGE EPA 2005 LinkWaterUse_Growth pdf SEWAGE EPA 2000 protect water higher density pdf SEWAGE EPA Water Use_And Development pdf SEWAGE MOGLEN G 2007 MDE GlISHydroNutrientLoadingChesBayModel pdf SEWAGE REILLY estimatingwastewater040190 pdf TRANSPORT ANDERSON 1999 infill greenfield growthimpacts pdf TRANSPORT EPA 2001 IntrxnsLandUseTransport EnviroQuality pdf TRANSPORT EPA 2006 Parking and Growth pdf TRANSPORT FED GOV DOT 2007 _TheTransPlanningProcess LandUselntrxn_etc pdf eooeoeeeeeeveeee ee oe Return to Data Contents List Federal Research Components FED Land Use Preservation and Agriculture e ForestService ForestLegacyProject_all contacts pdf FED Planning and Projections e BureauEcoActivity 1999 2007 Previously Published Regional Accounts Index pdf e BureauEcoActivity 2006 Personal Income MetroAreas pdf FED Transportation Journeys To Work 1970 1980 2000 State Coun
18. 113 thru 3 126 pdf 30_nce_collectors_pages_ 3 127 _thru_3 147 pdf 31_ncc_locals_pages_3 148 thru_3 163 pdf 32_ncec_ locals pages 3 164 thru_3 177 pdf file C Users Glen AppData Local Temp contents html 8 11 2011 9 55 A Sitemap A6 of 11 33_ne 34 ne 36 ne 37 ne re bridges pages 3 178 thru 3 193 pdf bridges pages 3 194 thru 3 213 pdf bridges pages 3 214 thru 3 224 pdf bridges pages 3 225 thru 3 251 pdf 38 nec bridges pages 3 252 thru 3 266 pdf 39 ncc bridges pages 3 267 thru_3 294 pdf 40_ncc_other_pages 3 295 thru_3 298 pdf 41 nce transit sys pages 3 299 thru 3 317 pdf 42 nce transit facilities pages 3 318 thru 3 330 pdf 42_ncc_transit_facilities_pages_3 318 thru_3 330 1 pdf 43 kc expressways pages 4 1 thru 4 8 pdf 44 ke arterials pages 4 9 thru 4 33 pdf 45 ke arterials pages 4 34 thru _4 57 pdf 46 ke collectors pages 4 58 thru 4 73 pdf 47 kc collectors pages 4 74 thru 4 86 pdf 48 kc locals pages 4 87 thru_4 94 pdf 49 kc bridges pages 4 95 thru_4 117 pdf 50 ke vehicles pages 4 118 thru 4 125 pdf ke transit facilites pages 4 126 thru 4 129 pdf 52_sc_arterials pages 5 1 thru_5 20 pdf 53 sc arterials pages 5 21 thru 5 37 pdf 54 sc collectors pages 5 38 thru 5 57 pdf 55_sc_ collectors pages 5 58 thru _5 76 pdf 56_sc_locals_pages_5 77_thru_5 92 pdf bridges pages 5 93 thru 5 121 pdf bridges pages 5 122 thru 5 148 pdf 59 sc vehicles pages 5 149 thru 5 155 pdf 60 sc transit facilites pages
19. 20 16 21 19 18 24 15 27 26 28 94 31 40 ACCOMACK VA 11 47 14 02 15 52 15 42 16 63 16 98 16 98 NORTHAMPTON VA 6 72 6 79 6 87 6 42 5 97 5 89 6 62 Forecasts of Growth Population forecasts for the study area were collected from the Federal Government and from a variety of public and quasi public agencies All predict that the DelMarVa Peninsula will continue to grow Figure 3 is a table of State level residential growth prepared by the Department of Commerce Bureau of the Census Shown are two forecasts for the three states Figure 4 displays population forecasts for the Counties included in our Study area All of these forecasts were prepared by State or other quasi public agencies with the exception that we have included a set of forecasts prepared by a private company Woods and Poole Of note only the Woods and Poole forecast included a lot of demographic detail and only Woods and Poole produced an econometric forecast where population employment and income were computed together A more moderate employment growth is anticipated than the region experienced in the period 1970 to 2000 Projections of the Total Population of States 1995 to 2025 Numbers in thousands Resident population For more detailed information see Population Paper Listing 47 Population Projections for States by Age Sex Race and Hispanic Origin 1995 to 2025 SERIES A July 1 July 1 July 1 July 1 July 1 1995 2000 2005 2015 2025 Delaware 717 768 800 832
20. 2003 12 60 81 Najjar R G C R Pyke M B Adams D Breitburg C Hershner M Kemp R Howarth M R Mulholland M Paolisso D Secor K Sellner D Wardrop and R Wood 2010 Potential climate change impacts on the Chesapeake Bay Estuarine Coastal and Shelf Science 86 1 1 20 Reilly J 1997a A methodology to assign regional employment to municipalities Computers Environment amp Urban Systems 21 6 407 424 Reilly J 1997b A method of assigning population and progress report on the use of a spatial simulation model Environment amp Planning B Planning amp Design 24 5 725 Roberts A D S D Prince C A Jantz and S J Goetz 2009 Effects of projected future urban land cover on nitrogen and phosphorus runoff to Chesapeake Bay Ecological Engineering 35 12 1758 1772 Silva E A amp Clarke K C 2005 Complexity emergence and cellular urban models lessons learned from applying SLEUTH to two Portuguese metropolitan areas European Planning Studies 13 1 93 116 Theobald D M Landscape Patterns of Exurban Growth in the USA from 1980 to 2020 Ecology and Society 2005 10 1 32 71 Sitemap Al of 11 file C Users Glen AppData Local Temp contents html Seagrant Research Files HTML Index This html file respresents an html index of all the collected data files to date for the Seagrant project It includes documents of interest concern capital planning forecasting res
21. 24 31 54 0 86 3 KENT MD 19 21 20 27 20 89 21 58 22 33 3 12 16 QUEEN ANNES MD 40 73 47 49 51 10 54 76 58 53 17 80 44 SOMERSET MD 24 76 26 73 27 81 28 96 30 19 5 43 22 TALBOT MD 33 85 37 80 39 94 42 10 44 43 10 58 31 WICOMICO MD 84 90 91 62 95 34 99 23 103 38 18 48 22 WORCESTER MD 46 81 50 62 52 73 54 95 57 26 10 45 22 ACCOMACK VA 38 50 39 01 39 47 40 03 40 71 2 21 6 NORTHAMPTON VA 13 10 12 76 12 66 12 63 12 57 0 53 4 Figure 5 Forecast of Employment for the Counties in the Study area Plans for Growth in the Study Area The study team also collected and reviewed 143 planning policy and capital budget documents produced by the three states and the thirteen counties We examined these documents to identify major policy or planning initiatives which might encourage growth in a particular manner which we might simulate We also examined capital budgets especially transportation documents as major new transportation routes tend to encourage development within their corridors A list of these documents is included in Appendix A We did not indentify a major project or plan which might shift growth or which might encourage growth to rapidly increase For example we were unable to find a capital plan budget calling for a third Bay bridge or for the development of a new highway or arterial This work was done in 2008 At a meeting of public officials held in 2010 we encouraged state and regional officials to update us with new plans and
22. 254 We repeat this process two more times for UpPixel 140 and DownPixel 267 and for UpPixel 267 and DownPixel 393 This results in the final condition of the Velocity Method Segment Generator shown in Figure 8 where the te is now 12 93 hours about 1 5 hours greater than the that Attributes of Tcpath0 shp Figure 9 Table for longest flow path corresponding to a single segment for each type of flow condition of time of concentration consistent with Figure 5 resulted from Quick Merging the channel into a single segment Figure 9 shows the corresponding table for this flow path This is just an example but it illustrates how the engineer has complete control over the number and composition of longest flow path segments The engineer may wonder how and when the sub area values are recorded Previously the values were set at the time that the Calculate Attributes menu choice was selected This is the still the case however if the enginer subsequently chooses to use the Velocity Method Segment Generator any merges performed using this dialog will result in instantly updated values for te for the selected sub area The last te determined in any sub area is the that will ultimately be written to the TR 20 input file Again if the engineer is not pleased with a particular merge the merge cannot be undone but the te for that sub area can be reset to the original condition by using
23. 5 156 thru _5 160 pdf 61 appendix fy2005 capital project_list pdf 62_appendix_fy2005_statewide_paving list_prog pdf 63_appendix_2005 2010_auth_summary pdf 64 appendix fy2005 FHWA obligational plan pdf 65 appendix fy2005 FTA obligation plan pdf 66_appendix_fy2005 air quality conformity pdf 67_ appendix fy2005 cert planning process pdf 68 appendix AlphabeticalIndexOfProjects pdf O te te O te fe Ur x a te o oo n le te oeeeeeveeeeeeeeeeeee eee ee eo we eee E S hl Ohl Ohl hl tle n Return to Data Contents List DE Capital Transportation Program FY2006 FY2011 l_ nathan intro _letter pdf 2_ctp_six_year funding schedule pdf 3_6 yr_proj_list pdf 4 fy 2006 proj _list pdf 5_legend_of_abbrev pdf file C Users Glen AppData Local Temp contents html 6_sw_expressways pages 2 1 thru_2 5 pdf7_sw_arterials pages 2 6 thru 2 9 pdf e e e e e e e 8 sw bridges pages 2 10_thru_2 16 pdf e 9 sw_other_pages_2 17_thru_2 40 pdf e 10 sw other pages 2 41 thru_2 58 pdf e l sw _grants_alloc_pages 2 59 thru_2 67 pdf e 12 sw transit_sys veh pages 2 68 thru_2 74 pdf e 13 sw transit_sys amenities _pages_2 75 pdf e 14 sw transit sys rail pages 2 85 _thru_2 88 pdf e 15 _sw_supt systems planning pages 2 89 pdf e 16 sw_supt_sys transptn_fac_ page 2 93 pdf e 17 sw_supt sys transit_facil
24. 8 5 04 43 123 5 430024045 0 0 0 0 0 0 0 0 0 0 0 0 Totals 44 8 135 04 13 33 43 6 6 12 8 54 04 43 1 136 Differences between current and future loadings are small but are non zero in some categories These differences are presented below Difference Future minus Current in Nitrogen loads in tons year 5 2 c c 5 6 gt g EE 28 EB ge 2 8 a S 9 2 SE g5 ES 3 2 p 1 410010005 0 0 1 0 0 0 0 0 0 0 1 0 O 0 1 2 410024045 0 0 0 0 0 0 0 0 0 0 0 3 420010005 0 2 0 2 0 0 0 0 0 1 0 2 0 1 0 O 0 1 4 420024045 4 1 1 0 0 2 0 3 0 3 0 6 5 5 0 9 0 0 0 1 5 430024045 0 0 0 0 0 0 0 0 0 0 0 0 Totals 4 3 1 3 0 0 1 0 3 0 3 0 6 5 8 0 9 0 o0 0 2 The difference table above may appear to show errors but these are caused by truncation rounding differences in the presentation of information The general thrust of the difference table is to show that agricultural loadings go down and urban loadings go up as a result of their respective losses and gains in total acreage The overall difference in loadings 0 2 tons a decrease of about 400 pounds is small in comparison to the total loads realized certainly within the uncertainty error in the loading rates and land use acreages themselves However the result that loadings decrease is not an error it is a consequence of the fact that in general agricultural loading rates especially for nitrogen and sediment are slightly higher than u
25. 806 Talbot 16 500 42 100 21 609 5 109 Wicomico 34 401 7 550 50 406 16 005 Worchester 47 360 60 000 54 102 6 742 Northampton VA 6 547 12 000 6 145 402 Accomack VA 19 550 46 500 21 606 2 056 2030 W amp P Forecasts Constant DU2000 Population Est TDUS New Dus New Dus Kent DE 50 481 177 394 74 963 24 482 New Castle DE 199 521 662 961 280 802 81 281 57 906 Sussex DE 93 070 241 796 136 361 43 291 34 133 Caroline 12 028 40 145 17 401 5 373 4 400 Cecil 34 461 125 045 53 372 18 911 15 948 Dorchester 14 681 31 856 15 806 1 125 308 Kent 9 410 23 109 11 573 2 163 1 582 Queen Anne 16 674 62 551 26 720 10 046 8 548 Somerset 10 092 31 464 14 950 4 858 4 077 Talbot 16 500 46 898 23 854 7 354 6 074 Wicomico 34 401 107 712 46 259 11 858 9 253 Worchester 47 360 59 665 53 953 6 593 5 039 Northampton VA 6 547 12 512 6 362 185 489 Accomack VA 19 550 41 395 19 664 T14 796 Testing of the Housing and Employment Allocation Model Backcasting is a formal method to determine the accuracy of any predictive model In backcasting one uses historic data as input to the model which then predicts a more recent but still historic year For example information about 1980 and 1990 were used to predict housing and employment in 2000 The value of this methodology is that the prediction can be compared to actual data In the following tables we present results of the model backcasting testing for each county in the study ar
26. Analysis Hydro CBPO Loading DNR Water Quality Surface CRWR PrePro TR 20 Interface Graphics Window Help ss AZAR HHU GOES we 6 Je Alki eek 2 DelMar a f Quads Available Streams Major Roads Ai Counties f Land Use Background Developed Hi EB Developed m Developed Lo H Developed O E Cultivated Cro Pasture Hay Grassland Ei Deciduous Fo EBM Evergreen For Ei Mixed Forest documentation That view is shown at right 2 GISHydro2000 Select Quadrangle s for Hydrologic Analysis x 340 Quads Available Quads Selected Pick Tool aberdeen accomac annapolis assawoman_bay baren island Add Pressing the Q button opens the Select Quandrangles dialog also shown in the figure at right The central difference between this version of GISHydro and the ones presented in other documentation is in the Select Landuse Data box shown circled at right There are six Scrub Forested W etl E Shrub W etian Emergent We Shrub W etlam E Emergent we Shore C Open Water Aquatic Bed No Data bay_view bennetts_pier betlin_md DEM Processing Parameters F Perform Processing Bum Streams Enter Threshold Area pixels 250 T Select DEM Data Select Landuse Data Plan Linear SSURGO Soils 2 Hydrologic Conditior to be defined later with gt
27. Indicated Soil Group Land use A S0 8 5011 C 501 Low Density Residential Medium Density nesidential Total area Distribution of Land use and Curve numbers used Land use acres percent Low Density residential 3521 16 Medium Density Residential igh Density Residential 2 39 G2 30 a 53 7 13 70 30 55 70 77 0 12 100 100 100 100 0 15 77 86 91 94 Bare Ground Calculate Basin Statistics From the Hydro Menu select the Calculate Basin Statistics option After some processing the dialog below will appear summarizing the physical properties of the watershed delineated in the previous section Note the warning about the impervious level of the watershed GISHydro relies on the engineering judgment of the user to decide the final appropriateness of the respective discharge estimation methods These data can be selected copied and pasted into a text editor or MS Word document for creating a watershed analysis report You are also prompted to save this data as a text file if desired Note that although the GIS data are stored in SI metric units the calculated quantities area basin relief slope etc are reported in English units 2 Watershed Statistics GISHydro Release Version Date October 27 2007 Hydro Extension Yersion Date October 22 2007 Analysis Date November 5 2007 Data Selected Quadrangles Used sandy_spring clarksville beltsville kensington DEM Coverage NED DEMs Land Use Coverage 20
28. Owned Lands Maryland Dept of Natural Resources DNR Lands Maryland Dept of Natural Resources Wildlife Areas Lands Maryland Dept of Natural Resources Private Conservation Properties Maryland Dept of Natural Resources Forest Legacy Easements Maryland Dept of Natural Resources Natural Heritage Easements Maryland Dept of Natural Resources Environmental Trust Easements Maryland Dept of Natural Resources Agricultural Land Preservation Easements Maryland Dept of Natural Resources Wetlands Delaware DNREC Division of Parks and Recreation Nature Preserves DNREC Division of Parks and Recreation State Parks Delaware Forest Service State Forests U S Fish and Wildlife Service Bombay Hook Wildlife Refuge U S Fish and Wildlife Service Prime Hook Wildlife Refuge Delaware Dept of Agriculture Agricultural Easements DNREC Division of Parks and Recreation Park Easements Delaware Forest Service Forest Easements Delaware Dept of Natural Resources and Environmental Control Wetlands Virginia Virginia Dept of Conservation and Recreation State Natural Areas Virginia Dept of Conservation and Recreation State Parks Virginia Dept of Conservation and Recreation National Wildlife Refuge Virginia Dept of Conservation and Recreation Private Owned Conservation Lands Virginia Dept of Conservation and Recreation Locally Owned Conservation Lands Virginia Dept of Conservation and Recreation Nature Conservancy Preserve Virginia Dept of Conservation
29. PHRST reclassifications_rpt pdf 13 2006 capital budget submission checklist pdf 14 project summary chart cap shell pdf 2006_project_list pdf 2007 project list pdf 2008 project lists pdf CO JAJAJJA JUN Return to Data Contents List DE DelDOT Property Management Use and Preservation e DE AnnualPropertyMgmtReport_2007 pdf 1 cover letter pdf conveyed to the general public 2005 pdf 2 2 parcels min ind utility con adj owners pdf 3 conveyed to counties 2005 pdf 4 conveyed to other state agencies 2005 pdf 5 6 7 converted _to_row_2005 pdf surplus parcels _in_disposition pdf reserved for projects 2005 pdf DE_DelDOT Corridor Capacity Manual 1_CorridorCapacityManual hotlink index pdf toc_exhib pdf 3 exec _sum pdf 4 intro pdf 6_land_use pdf 7_how pdf 8 current corridor plans pdf 9 bridgeville_plan pdf 0 camden _plan pdf 1 delmar plan pdf 2_felton_plan pdf 3 greenwood plan pdf 4 harrington north plan pdf 5_harrington south plan pdf 6_laurel_plan pdf 6 seaford plan north pdf 7_seaford plan south pdf 8 woodside_plan pdf 9 faq pdf 20 contacts pdf 21_addendum pdf Return to Data Contents List file C Users Glen AppData Local Temp contents html DE DelDOT Liveable Delaware Transit Priority and Preservation of Wetlands Etc gov_goals pdf 4 exec order _14 pdf5_activities pdf 6_statewide_plan pdf 9 corridor preser
30. Specify Output Path c temp 90255 shown at right The A 3 Specify Input File Shedtmp shp Cancel entries here are generated automatically based onthe Specify Output GIS File Shedtmp_CBPO name of the top most Specify BMP Table or put Shedtmp_BMP shapefile in the table of contents pane so it s best to pull your desired analysis polygon to the top before selecting this menu choice The only non default entry shown at right is that we are using standard not Tributary Strategy loads in this analysis so the Y entered by default has been changed to a N Note that the Output GIS File 3 item listed will have current appended to its name automatically 4 Choose CBPO Loading Calculate Current Load The GIS will give a brief dialog showing the overall loads of Nitrogen Phosphorus and Sediment It will also pull up a file browser to indicate the name of the output file which will contain a detailed accounting of the loads produced by each cosegment in the watershed and by each individual land use in each of these cosegments This file is probably best viewed imported into Excel discussed later Use Tributary Strategy Loads Y N N 64 Future Analysis 5 Choose CBPO Loading Set Current Future Land Use Condition Click on Future Land Use Click OK 6 Pull the same polygon theme loaded in Step 2 to the top of the table of contents pane 7 Choose CBPO Loading Set Develop
31. Specify a unique descriptive name such as futuredischarges txt Click OK Focusing on the content in files currentdischarges txt and futuredischarges txt we find Return Period years Current rand se Discharge Future Land Sse Discharge ft s ft s 2 237 250 5 315 338 10 383 416 25 494 542 50 595 657 100 711 791 500 1040 1180 61 We can see from the results of this discharge comparison that there is a modest 5 to 13 percent increase in peak discharge that results from the change from current to future land use for this scenario and this specific watershed Modeled differences will vary based on scenario considered and watershed analyzed Please note in the directions for the discharge comparison that steps 2 and 5 the re calculation of Basin Statistics must be done so that the appropriate numbers are resident in computer memory for insertion into the regression equations for peak discharge calculation Failure to re calculate Basin Statistics after the land use condition is changed will result in previously calculated basin statistics being employed and the possible mis interpretation of a lack of change in peak discharges from current to future conditions Example TR 20 Rainfall Runoff Analysis There are too many degrees of freedom in setting up a rainfall runoff analysis with the TR 20 model The user may sub divide differently or not at all may choose different ti
32. TR 20 Model GISHydro2000 uses the divided sub watersheds reach rating tables and calculated attributes to assemble the input for the TR 20 model In this exercise you will specify input and output files for TR 20 specify output options and assign a rainfall distribution for rainfall runoff calculations for the Northwest Branch watershed You will then execute the TR 20 model and examine the output Task Using TR 20 estimate the 100 year return period discharge for the Northwest Branch watershed Use the 24 hr duration storm Compile the TR 20 input file execute the program and examine the output Precipitation Depth Selection The engineer needs to indicate to GISHydro2000 all storm frequency durations that are to be analyzed Under the TR 20 Interface menu is the menu choice Precipitation Depths Selecting this the engineer is presented with the dialog box shown below Simply check all storm frequencies and durations desired for analysis Only those storms selected here will be available later for inclusion in a TR 20 input file Precipitation Frequency amp Duration Selector Check desired storms 6 hour 12 hour 24 hour 48 hour 1 year 2 year 5 year 10 year 25 year 50 year 100 year 200 year 500 year 000000000 000000000 OOBMOOOOOO see ee eee M Output Storm Depths to File Select All Unselect All Note Unselect All button will not unselect storms that have already been determined
33. all streams that you have indicated in Step 3 The solution to this problem is to Merge Selected Subwatersheds First click on the subsheds shp shapefile in the legend so it is the active theme Next use the select tool to select two polygons that you want to merge together Polygons can only be merged two at a time so select two polygons such as shown at right Once two polygons are selected that are desired to be merged into one choose CRWR PrePro Merge Selected Subwatersheds and the subwatersheds will be combined into a single polygon Repeat Step 6 as necessary until all polygons have been merged to approximate the figure from the Anacostia Watershed Society or as desired Note you may need to use the Magnifying Glass Tool to zoom into very small areas and combine relatively small subwatersheds into larger polygon entities When you are complete you should have a system that looks like the figure at right Note that there are some discrepancies between this figure and the one supplied originally from the Anacostia Watershed Society These difference are primarily in the far downstream area in the Tidal Anacostia segment and to a lesser degree in the Hickey Run subwatershed These differences are not addressable using GISHydro but could be modified using the basic GIS polygon editing tools We refer the reader to the online help in ArcView for directions on how to do this T
34. and Recreation State Owned Tidal Lands National Wetlands Inventory Wetlands B 1 Exercise I A Beginning a Hydrologic Analysis with GISHydro2000 Every analysis performed using GISHydro2000 begins with the assembly of the necessary GIS data for the required extent In this exercise you will use GISHydro2000 to select data to begin a hydrologic analysis Task Using GISHydro2000 begin a hydrologic analysis for the watershed upstream of USGS Stream Gage No 01650500 near Randolph Road in Montgomery County Maryland Use the GIS themes in the Maryland View to locate the basin outlet and estimate the extent of the watershed Select the USGS quadrangles covering the area of interest and choose the appropriate data layers DEM Land Use and Soils for further analysis Locate Outlet and Select Quads Note The following Section describes how to find an outlet location to estimate which quad sheets are needed If the quad sheets are already known skip to the section below titled Selecting Quads The location of the watershed has been given at USGS Stream Gage No 01650500 above Randolph Road The Maryland View contains themes useful for finding this location Select the theme called MD Major Roads and make it active so that its legend pops out from the other legends Open the Query Builder and select the Query option from the Theme Menu The window on the left lists the field names in the MD Major Roads theme attribute table
35. forecast a Use the same excluded attraction layer for forecasting that was developed for calibration i Limited planning information included ii Protected lands parks easements etc and wetlands are protected iii Areas that are already urbanized are resistant to infill 2 Planning trends forecast a Incorporates generalized current planning direction as reflected in the comprehensive plans for each county i Moderate emphasis on smart growth using county or state designated growth areas where available or Census urbanized areas otherwise ii Moderate emphasis on Chesapeake Bay watershed protection and protection of green infrastructure 1 Protection of large forest tracts critical areas riparian buffer 30 m 100 year floodplain and agricultural districts iii Maintain strong protection on existing protected lands and wetlands 3 Resource scarcity climate change forecast a Stronger emphasis on smart growth planning and resource protection especially for agricultural lands b Include inundation due to expected sea level rise Each land use policy scenario will be run with different demands for impervious surfaces at the MCD scale which will be the output from the GAMe model These scenario narratives were translated into exclusion attraction maps of lands that will attract or repel development Figure 6 As noted in Figure 1 these maps were used as direct input into SLEUTH and as a component of the G
36. in yellow in the figure at right Note that this exercise is based on the 12 digit watershed boundaries used in Maryland The analysis can also be performed for the entire Liberty Reservoir area as a single polygon which corresponds to an 8 digit basin as shown at right The degree of resolution or typical scale of the polygons you choose in an analysis should be governed by the scale at which specific information is needed Obviously it is quicker and easier to work with one large polygon than 17 smaller polygons covering the same area As the analyst the choice of analysis scale should be governed by the scale at which information is needed and the time effort you are willing to invest in your analysis We want to make a separate theme of just these selected polygons To do this choose Theme Convert to Shapefile and specify an appropriate theme name e g liberty shp and note the directory where you have saved this theme The GISHydro CBPO tool requires all input shapefiles for nutrient analysis to include a field in the theme s attributed table called ID The original shapefile from which we ve extracted the Liberty polygons did not include this field so we need to add it manually a Choose Theme Table to open the theme s attribute table b Choose Table Start Editing Field Definition x Name I Type Number z Cancel width 16 Decimal Places 0 c Choose
37. land cover indicated in this area this information is converted to CBPO land use categories using the rules outlined by the CBPO for converting between land cover and land use If any BMPs are specified a summary of these BMPs which BMP applied to which cosegment with applicable efficiencies is presented e Area 2 Nitrogen As with Phosphorus and Sediment to follow the Nitrogen area is presented in 5 sub blocks in the following order o Annual loading coefficients in lbs acre yr Loading rates are presented by individual land use and for each of the cosegments intersected by the analysis polygon provided by the user o Annual unmitigated loadings in tons yr The land use acreage presented in Area 1 is multiplied by the loading rates presented in Area 2 sub block1 to produce the total nitrogen load in tons yr The breakdown is presented by individual land use category and unique cosegment Sub totals by land use and by cosegment are presented at the margins along with the overall total for the entire area covered in the analysis polygon o Sub block 3 contains Alpha BMP coefficients that apply in the event that the user has specified additive BMPs If the value 1 appears in a given land use cosegment cell then no BMP has been specified for this land use cosegment pair o Sub block 4 contains Beta BMP coefficients that apply in the event that the user has specified multiplicative BMPs If the value 1 appears in a given land use
38. map orient the view just as you would like for it to be displayed From the View menu choice choose Layout You will be asked to choose a basic orientation and style template and then a Layout window will appear Everything in this window is potentially editable by double clicking on the desired item to change its contents size orientation etc 48 Getting and Using a GISHydroweb Account There are several things you need to know to currently use GISHydro2000 from the web These instructions will allow you to test the web based version however the details of logging in may change over the next few weeks to months Step 1 Obtain Login Information Access to the GISHydro2000 web version is free however to control access to the web site is password protected This is done for two reasons 1 To provide added security to the server that is supporting the web version 2 To help us document usage of the server To obtain a username and login please contact Glenn Moglen moglen vt edu and request a login to the server You should provide the following information with your username request e Your full name e Your email address e Your company or employer e Your phone number Step 2 Download Plug in The web based version runs by using software from Citrix In order to use this software it is necessary to download and install a plug in from this company The plug in you download depends on the operating syst
39. maps to provide useful background context to a map Although this data is a Raster data format in generic GIS terms i e the picture is really a large matrix of pixels there is no intelligence associated with the image it is simply there to add context Grid data is ArcView s name for the Raster data format in generic GIS terms The spatial analyst extension of ArcView must be installed and active for ArcView to handle this data type however if you are using the web based version of GISHydro spatial analyst is already part of the application Most of the important data manipulations taking place within GISHydro take advantage of the grid data type and the functionality associated with it 44 Tables The true power of a GIS is its ability to associate tables with visually displayed information like land use elevation or soils maps Within the GISHydro there will be two kinds of tables that are of particular interest The first is a table that associates land use and soil type with a particular curve number We have provided a standard lookup table identical to the one used previously in the original GISHydro The second table actually two tables provides a breakdown of the land use distribution by soil type and shows the curve numbers used Layouts For purposes of reports or simply conveying complex spatial relationships you will often find that you would like to print a copy of the ArcView View wind
40. md water usgs gov publications wrir 95 4154 for details You may choose None to apply just the Dillow regression equations or you can choose gage 01650500 to perform a weighted average between the regression equation and gage flood frequency information Choose both and experiment to see the effect on the calculated discharges The figure below shows typical discharges that can also be saved to a file C 40 2 U S G S Peak Flow Estimates GISHydro Release Version Date June 15 2004 Hydro Extension Version Date May 10 2004 Geographic Province s Piedmont 100 0 of area 1290 cfs 2320 cfs 3350 cfs 5130 cfs 6920 cfs 9190 cfs Q 500 17200 cfs Area Weighted Prediction Intervals from Tasker Retum SOPERCENT 67PERCENT S0PERCENT 95PERCENT Period lower upper lower upper lower upper lower upper 2 1220 1360 1190 1390 1130 1470 1100 1510 5 2160 2500 2090 2580 1950 2770 1880 2870 10 3070 3650 2950 3800 2710 4130 2590 4320 25 4630 5700 4400 5980 3980 6620 3770 6990 50 6150 7770 5820 8220 5200 9210 4890 9780 100 8070 10500 7590 11100 6690 12600 6260 13500 500 14700 20200 13700 21800 11700 25400 10800 27600 Individual Province Tasker Analyses Follow Flood frequency estimates for REGION Piedmont region area 21 30 forest 24 80 skew 0 53 Return Discharge Standard Equivalent Standard Period cfs Error of Years of Error of Prediction Record Prediction percent logs 290 7 9 61 66 0 0344 2320 10 6 65 16 0
41. mentioned in the previous section these forecasts were incorporated into GlSHydro and several watersheds of varying scales from across the DelMarVa peninsula were analyzed for changes in both flood behavior and changes in nutrient loading These results are presented exhaustively in Ciavola 2011 and are currently under review for publication in the ASCE Journal of Hydrologic Engineering Ciavola et al 2011 The results from this thesis and manuscript RETA a are summarized here in ps ane a a or TAPAR A Barren the context of a single set ju 4 Aoo f i ea Wooded of nested watersheds a 4 aig E AE Pe eae along the Wicomico river as shown in the figure at right We found that likely change in urban land use would lead to decreases in sediment and 35 nitrogen loads by up to 8 percent and 37 percent respectively that phosphorus loads would increase or decrease depending on the type of existing land use that was replaced by urban land use and that the 2 year peak flow would change by 2 to 9 percent across all scenarios while relative changes flood peaks for the 100 year were considerably smaller Sensitivity analysis also was performed Our modeling provides a planning oriented look into the effects of increased urban development on the predominantly agrarian study area the majority of which drains to the Chesapeake Bay and illustrates a useful approach for evaluating consequences of future plann
42. of GISHydro allowed the user to choose hydrologic conditions from the Select Quads dialog box However this functionality has been moved to a later step and will be shown in another exercise When all data selections data types and processing options are complete press Apply to begin the data extraction and processing process What happens next You will now see several DOS windows pop up followed by a sequence of processing steps while GISHydro assembles the data GISHydro2000 stores terrain land use and soils data in zip archive files organized by quad sheet The program dynamically extracts the necessary data and performs processing on a contiguous area determined by the selection of quads For this example we have selected four quad sheets For an average PC processing will take 1 3 minutes For a single watershed processing typically less than 1 minute During the processing stage you will see a little blue bar move rapidly back and forth on the ArcView Window This is normal ArcView determines the flow directions and flow C 27 accumulations for each cell in the combined grid the four quads are extracted from the database and merged for the DEM land use and soils layers The Area of Interest View When processing is complete a new View will be created limited to the extent of the four quads It is from this View that all further steps will take place the Maryland View is closed automatically but remains part of t
43. scope of work we have chosen to include all of Cecil County into the study area since doing so provides us with consistent boundary for census and other information and enables us to easily use County controlled forecasts of growth As shown in the illustration the study are consists of part of the three states Delaware Maryland and Virginia and a total of 14 counties DelMarVa Study Area States and Counties lt Delaware Maryland Virginia Growth Trends and Forecasts in the Study Area Historic Growth in the Study Area During the period 1970 to 2000 each State increased its population in the study area The largest population increase 234 770 people and the largest rate of growth 135 occurred in the three Delaware counties The Maryland counties added 137 360 people a growth rate of 89 The Virginia county of Accomack grew by 9 590 people while Northampton County lost 1 360 residents The largest rates of growth at the County scale occurred in Queen Anne County MD 120 increase Sussex County DE 94 increase Worchester County MD 90 increase and Cecil County MD 61 increase All other counties grew more modestly as a growth rate with the exception of Northampton County VA which lost population during this 3 decade long interval Figure 1 Population Change by County 1970 to 2000 TOTAL POPULATION THOUSANDS KENT DE NEW CASTLE DE SUSSEX DE CAR
44. stage discharge end area relationship at a section along the stream reach chosen to be representative of the overall length To determine the rating table relationship we need to specify for each cross section the geometry and roughness for both the main channel and the cross section Task Use the GISHydro2000 program to calculate reach routing tables for the reaches identified in the Northwest Branch watershed schematic Use the draw transect tool to sample a cross section near the mid point of each reach Use the Cross Section Editor dialog box to adjust the geometry slope or roughness characteristics of the sampled cross sections as needed Draw Reach Routing Transects The procedure for gathering this information using GISHydro2000 is to use the x tool to draw transects across each of the routing reaches The transect lines are used to extract the profile of the floodplain at the selected point crossing the stream At the intersection of the stream a synthetic channel is incised since the DEM topography is too low resolution to capture the channel geometry A surveyed cross section rating table may also be loaded Before drawing any cross sections a useful step is to add the contour lines corresponding to the DEM The contours aid in selecting the correct positioning of the transect line To display the contour lines make the Original DEM theme active Next select the Create Contours item from the Surface menu A dialog box wi
45. than the regional average were assigned a negative weight to slow down the growth rate These weights were calculated for all MCDs within the DelMarVa region then combined with each of the land use scenario maps shown in Figure 6 This resulted in a series of nine scenario maps that would be input into SLEUTH Figure 7 shows an example of this process of map integration for the headship decline GAMe scenario 31 C Slight resistance to development O Neutral oa a BB Attraction for development E Strong attraction for development ights to ExclAttr Maps IS Weights to Excl Attr Maps I Neral HS Increase and HS Constant E Complete exclusion from development E Strong attraction for development Exclusion Attraction 5 without GAMe weights aaa Complete exctusion from development Figure 7 Combining GAMe weights for minor civil divisions with land use policy scenario maps to generate a new input for SLEUTH that includes both The second way that GAMe results were used in SLEUTH was to estimate the total amount of urban land cover growth that would occur in the region given each of the population and employment forecast scenarios This essentially constrains the amount of growth that SLEUTH will forecast Figure 8 32 1 300 1 250 1 200 1 150 1 100 1 050 1 000 Area square kilometers 950 900 850 800 Historic Current Planning Res Scarcity
46. the Select Sub Area tool C 55 Guidance We atrive now at the ultimate question of guidance What is the correct value for te Here I believe sound engineering judgment should be the guiding principle Some things to examine or ask include e How does the pixel based t compare to the te values determined using the Basin Statistics menu choice Merging of pixels into larger segments for the longest flow path is probably indicated if the pixel based is substantially greater than the 7 s determined by the Will Thomas or SCS lag equations e Examine the Attributes of TcPathx shp file and look for occurrences of unrealistically low velocities For instance consider Figure 10 which shows a Attributes of TcpathO shp Figure 10 Part of the table for longest flow path with very small slopes and resulting very small travel velocities for the top three records shown small portion of a pixel based channel flow path in which very small slopes are determined from the DEM for the top three records shown which result in very small velocities and resulting in long incremental travel times If larger segments are generated by judicious merging of individual pixels these very local features are averaged out and tend to result in greater slopes greater velocities and smaller incremental travel times e Use the identify tool to examine the DEM directly along the longest flow path Is it genuinely very fl
47. urban loading rates are 0 00 to 141 kg year hectare These loading rates are summarized in the table below Nitrogen and Sediment Loading Rates kg year hectare for Segment 4420 which the Wicomico Watersheds Intersect Land Use High Low Pervious Impervious Nutrient g g Hay Pasture Till till Urban Urban Nitrogen 32 3 26 1 11 6 11 3 13 3 10 2 Sediment 1110 278 222 398 141 0 Unlike nitrogen and sediment loads predicted changes in phosphorus loads do not follow easily generalized trends The Wicomico watersheds show decreases in phosphorus when compared to the initial land use conditions loadings ranging from approximately 0 to 7 2 however other watersheds studied in the Bohemia and Tred Avon rivers showed increases in phosphorus from 0 to 5 0 38 nn z 2 ao c Q 5 T i ko et z O w c v v y a Ss Scenario Figure 13 Average Percent Change in Phosphorus Loads from the Initial Land Use Conditions for the Wicomico Watersheds Percent Change from Initial Conditions Scenario Figure 14 Average Percent Change in Phosphorus Loads from the Initial Land Use Conditions for the Bohemia Watersheds Figures 13 and 14 show these opposing behaviors with declines in phosphorus loadings for the Wicomico watersheds Figure 13 contrasting with increases in phosphorus
48. 02 MD DE Landuse Soil Coverage Ragan Soils Hydrologic Condition see Lookup Table Impose NHD stream Locations Yes Outlet Easting 397518 m MD Stateplane NAD 1983 Outlet Northing 155236 m MD Stateplane NAD 1983 Findings Outlet Location Piedmont Outlet State Maryland Drainage Area 21 3 square miles Piedmont 100 0 of area Channel Slope 21 4 feet mile Land Slope 0 062 ft ft Urban Area 54 4 Impervious Area 22 3 URBAN DEVELOPMENT IN WATERSHED EXCEEDS 15 Calculated discharges from USGS Regression Equations may not be appropriate MRRKARKARAARAXAARKARARKARKARAARRRRARKRARARRARKARARKRAKK XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Watershed is within 5km of physiographic province boundary You should consider sensitivity of discharges to region location Time of Concentration 4 8 hours W 0 Thomas Jr Equation Time of Concentration 5 9 hours From SCS Lag Equation 1 67 Longest Flow Path 8 30 miles Basin Relief 148 7 feet Average CN 70 Forest Cover Storage Limestone 0 0 Selected Soils Data Statistics amp Soils 0 0 B Soils 86 5 C Soils 3 7 D Soils 9 8 TSGO Soils Data Statistics used in Regression Equations Soils B Soils 78 0 C Soils 13 0 D Soils 3 0 2 Year 24 hour Prec 3 19 inches Mean Annual Prec 43 86 inches C 31 Part Two Modify Land Use Conditions The Hampshire Greens Golf Club is located at the intersection of New Hampshir
49. 1 0 627997 65 to 74 0 629539 0 629539 0 629539 0 638983 0 648426 0 658152 0 667878 75 0 629695 0 629695 0 629695 0 63914 0 648586 0 658315 0 668043 Figure 8 Headship Table forecasting higher housing participation 2000 2005 2010 2015 2020 2025 2030 Caroline 0 to 14 0 0 0 15 to 24 0 130177 0 130177 0 130177 25 to 34 0 461437 0 461437 0 461437 35 to 44 0 532006 0 532006 0 532006 45 to 54 0 557127 0 557127 0 557127 55 to 64 0 591947 0 591947 0 591947 65 to 74 0 629539 0 629539 0 629539 75 0 629695 0 629695 0 629695 Figure 9 Headship Table Forecasting declining housing participation The following table displays the differing estimates of total housing TDUS and new housing New Dus which result when using the State and Woods amp Poole forecasts in combination with the headship alternatives Shown are the results for the forecast year 2030 We also display the total houses in each county for the year 2000 as a point of reference 16 2030 State Forecasts Constant Headship Growth DU2000 Population Est TDUS New Dus Est TDUS Kent DE 50 481 168 340 71 227 20 746 New Castle DE 199 521 606 338 257 097 57 576 Sussex DE 93 070 254 525 142 014 48 944 Caroline 12 028 46 000 19 830 7 802 Cecil 34 461 _155 000 65 500 31 039 Dorchester 14 681 38 850 18 908 4 227 7 Kent 9 410 23 400 11 704 2 294 Queen Anne 16 674 61 900 26 454 9 780 Somerset 10 092 29 350 13 898 3
50. 22 Wicomico 4 2 6 29 600 454 3 190 1 5 uv c C g Z e s T E o Foal a oD c lt oO _ w v i w a Scenario Figure 12 Average Percent Change in Sediment Loads from the Initial Land Use Conditions for the Wicomico Watersheds 37 Figure 12 shows how the predicted sediment loads change from the initial 2005 condition for all of the Wicomico watersheds This result is typical of the watersheds we examined which were found to have decreases in sediment loads for all scenarios ranging from 0 4 to 22 It was also found that the predicted sediment loads decrease with higher GAMe population growth rates Similar to sediment all predicted nitrogen loads decrease from the initial land use conditions and decrease with increasing growth for all watersheds we examined with changes ranging from 0 2 to 6 5 The same trend in change in estimated load relative to the SLEUTH GAMe planning scenarios that applied to the sediment loads is true for nitrogen These decreases occur because the CBPO assigns lower loading rates to urban than to agricultural land for both nitrogen and sediment For example the Wicomico watersheds lie within state segment 4420 where the nitrogen loading rates for high till and low till land use are more than double the loading rates for urban land use The agricultural loading rates for sediment range from 222 to 1 107 kg year hectare whereas
51. 4 01 2 00 E 4 01 2 00 p 201 5 00 p 201 5 00 E 2 01 5 00 B 5 01 10 00 GE 5 01 10 00 HE 6 01 10 00 HE 10 01 20 00 HB 10 01 20 00 HE 10 01 20 00 E 20 01 62 18 E 20 01 24 64 EE 20 01 74 31 Figure 10 The headship increase current trends scenario results summarized to the minor civil division scale to show regional patterns 34 Incorporation of SLEUTH Output into GISHydro SLEUTH output serves as a natural input to the GIS based program GlISHydro please see http www gishydro umd edu for more details about this program and for access to this program The nine urban land cover forecasts for 2030 described above have been organized formatted and integrated into a DelMarVa version of GISHydro This version of GISHydro has been set up to doa current and future i e year 2030 hydrologic analysis so the GIS user can quickly assess changes to both water quantity and water quality as a function of the urban forecast scenarios produced in this project In the following sections exercises and examples are presented showing the general use of GlSHydro and its specific application to this DelMarVa version for analysis of the consequences of the urban forecasts produced in this study Forecast Changes in Runoff Quantity and Quality in the DelMarVa Peninsula What are the OR CNSR es ee hydrologic consequences ee of the urban land cover forecasts described in the previous sections As briefly
52. 407 424 12 Diagram of the GAMe Model Cohorts HS Alts Exogenous Pop by Cnty Alts Seasonal Alts Exogenous Jobs by Cnty Grp Hsing Alts Vacancy Alts Land Available Alts Density Alts Examination of the Headship Model The Headship model uses age specific cohorts which represent the percentage of the people in that age group which would head households Where more detailed demographic information is available not in the study area or in its forecasts separate cohorts can be constructed for specific sex and race groups Figure 6 displays a sample of this method using year 2000 Census data for all inputs We start with a Kent county population of 127 085 persons We determine household population by subtracting the total number of persons who reside in Group Housing nursing homes prisons military barracks etc In this example we have 8 age cohorts and the percentage to the left of each cohort represents the percentage of the total population within that cohort For example almost 23 of County s population is age O to 14 Multiplying the cohort by the total household population produces the total number of persons within this cohort who live in households Again by example there are 28 167 persons in the County between the age of 0 and 14 living in households HSR headship rate represents the percentage of this population w
53. 410 32 1 25 85 22 4 2376 1 7 5 7 11 5 9 8 10 2 410024045 4410 30 3 23 6 7 7 8 6 2397 1 7 5 7 11 5 9 8 10 2 420010005 4420 28 8 23 3 10 3 10 1 1987 1 2 5 9 11 9 91 95 420024045 4420 28 8 23 3 10 3 10 1 1987 1 2 5 9 11 9 91 95 430024045 7430 25 8 20 1 5 9 26 2 2182 1 3 4 5 8 9 9 4 0 Multiplying these loading rates by the current acreage in each cosegment and land use and converting pounds to tons we get the following Current Land Use Nitrogen Loads in tons year N D 2 ge 3 t ay v E 5 2 z 9 gs Sa aos 2 F 6 Y Oo lt a fe gt 2 oc cE o T 2 Oo a og T S a amp B20 5 5 3 a 1 410010005 1 4 2 2 Oo 01 02 0 2 0 2 0 1 0 0 45 2 410024045 2 5 0 5 Oo 01 02 0 2 0 3 0 0 0 1 39 3 420010005 1 2 1 8 Oo 0 1 Oo 0 1 0 3 0 6 0 3 0 0O 4 4 4 420024045 44 10 2 0 3 1 2 3 2 4 6 4 6 3 4 1 04 43 123 5 430024045 0 0 0 0 0 0 0 0 0 0 0 Totals 49 1 14 8 0 4 1 4 3 6 4 6 7 2 7 4 5 0 4 43 1 136 Multiplying these loading rates by the future acreage in each cosegment and land use and converting pounds to tons we get the following 67 Future Land Use Nitrogen Loads in tons year n a e E 5 3 E amp 2 2z B38 25 5 s S F oe z 2 ses 28 5 2 Fe S 2 a og T S amp Z Zo 5 E5 3 2 E 1 410010005 1 4 2 1 0 01 02 0 2 0 2 0 1 0 1 0 O 44 2 410024045 2 5 0 5 Oo 01 02 0 2 0 3 0 0 0 0 1 39 3 420010005 1 1 6 Oo 01 Oo 0 1 0 2 0 8 0 4 0 0 43 4 420024045 399 92 03 1 29 37 5 8 11
54. 861 Maryland 5 042 5 275 5 467 5 862 6 274 Virginia 6 618 6 997 7 324 7 921 8 466 SERIES B July 1 July 1 July 1 July 1 July 1 1995 2000 2005 2015 2025 Delaware 717 758 793 851 899 Maryland 5 042 5 261 5 426 5 736 6 072 Virainia 6 618 6 965 7 234 7 708 8 165 Figure 3 Census growth forecasts for DE MD and VA 8 Delaware Delaware CEDS New Castle Kent Sussex Woods and Poole New Castle Kent Sussex Maryland MDP 2008 Caroline Cecil Dorchester Kent Queen Anne s Somerset Talbot Wicomico Worcester Woods amp Poole Cecil Kent Queen Anne s Caroline Talbot Dorchester Wicomico Worcester Somerset Virginia State Forecast Accomack Northampton Woods amp Poole Northampton Accomack 2000 501933 127085 157430 127034 501552 157648 2000 29 772 85 951 30 674 19 197 40 563 24 747 33 812 84 644 46 543 86 330 19 210 40 730 29 790 33 850 30 690 84 900 46 810 24 760 2000 31 703 13 061 38495 13104 2005 524815 138349 175749 134658 525560 170886 2008 33 138 99 926 31 998 20 151 47 091 26 119 36 215 94 046 49 274 95 820 20 050 46 110 32 270 36 960 30 750 90 230 49 840 26 320 2008 38 305 13 093 38719 12903 2010 547356 146259 194615 142431 550230 184180 2010 34 100 103 850 32 350 20 300 48 650 26 550 36 950 96 100 50 550 98 240 20 270 47 490 32 910 37 800 30 800 91 620 50 620 26 730 2010 41 300
55. AMe modeling As a SLEUTH input these maps serve as a weighted surface to guide where development will occur in the future As an input to GAMe these maps were used to calculate the amount of land available for development within minor civil divisions for each scenario 30 Current Trends Scenario Resource Scarcity Scenario PlanningTrends Scenario Le 100 Kilometers Attractionor FZ Ti er a a ee E exclusion for development amp amp Figure 6 Exclusion attraction maps that reflect each of the three land use policy scenarios modeled in this work Incorporating GAMe s Forecasts into SLEUTH Using GAMe Reilly developed three scenarios of population and employment growth for minor civil divisions described in detail elsewhere in this document a scenario assuming that headships rates decline that they remain constant and that they increase These forecasts were used in two ways within SLEUTH First forecasts of population and employment growth were translated into weights that would be incorporated into SLEUTH s exclusion attraction layers To accomplish this we calculated the overall growth rate for the region to represent the regional average growth rate Minor civil divisions that grew faster than the regional average were weighted positively to attract additional growth MCDs that grew at or near the regional average were assigned a neutral weight MCDs that grew slower
56. C 63 When all desired storms are determined click the Apply Close button This will trigger GISHydro2000 to access the precipitation database for the same quadrangles selected at the beginning of the analysis A new feature was added to GISHydro2000 in Fall 2007 to determine precipitation depth based on spatially distributed precipitation from NOAA Atlas 14 precipitation data The areal average storm depth over the domain of the watershed is now calculated directly This is effectively a watershed specific design storm with the storm distributions no longer based on TP 40 This change of approach was reviewed and approved by the Maryland Hydrology Panel Depending on the number of storms selected the average storm depth and distribution will be determined and may take some time to compute After computing is complete a dialog box will report the selected storm depth with the distribution stored for subsequent analysis Precipitation Frequency amp Duration Statistics GISHydro Release Version Date October 27 2007 Hydro Extension Version Date October 22 2007 Analysis Date November 9 2007 Data Selected Quadrangles Used sandy_spring clarksville beltsville kensington Outlet Easting 397518 m MD Stateplane NAD 1983 Outlet Northing 155236 m MD Stateplane NAD 1983 Precipitation Frequency Duration Depths 100 year 24 hour 8 47 inches The depths and storm distributions will automatically be written into the T
57. Cancel must keep track of the active land use Future Land Use condition as the program will focus all calculations on this land use condition exclusively This land use condition will affect watershed properties the calculation of the time of concentration peak flow calculations and nutrient loading calculations Choose Land Use Study Condition Example Changing Watershed Characteristics Notice on the previous page in the output from GlSHydro the line Land Use Coverage This indicates that the watershed characteristics listed correspond to Current conditions To change the active land use from current to future use the dialog to click on the text Future Land Use then click OK This will set the land use study condition to future land use whatever land use layer you indicated earlier in the Select Quadrangles dialog If we again choose CBPO Loading Set Current Future Current Land Use Cancel Land Use Condition the dialog will now appear Future Land Use as shown at right the circled item shows that Future Land Use is now the study condition Continuing the example from the previous exercise this should be the Plan High land use condition With the Future Land Use condition selected we again choose Hydro Basin Statistics The table below presents a comparison of the watershed statistics that are changed as a result of the future study condition lt 2 Choo
58. Developing a Decision Support System for the DelMarVa Peninsula a tool to integrate alternative growth scenarios and selected environmental assessment methods into local land use planning FINAL REPORT Submitted to Maryland Sea Grant By Glenn E Moglen and Suzanne Ciavola Department of Civil and Environmental Engineering Virginia Tech Falls Church Virginia 22043 Claire A Jantz Ben Ritter and A J Beck Department of Geography amp Earth Science Shippensburg University Shippensburg PA 17257 James Reilly Reilly Consulting Lafayette Hill PA 19444 August 2011 Table of Contents OVENVIOW ii cceccseveatccts avecesetearenceetsesoatenaneteg TEE TEE ERE TETEE a Tac coe TEE ENEE AEE EA Deedee TE aE E 4 Definition of the Study Area e cdeadesehaetdccactded taps eddencadlex Te Seldlead setae hed incldeguadeudubader ie saradiatenecidensadlates 5 Growth Trends and Forecasts in the Study Area cccsscccccsssseceeeesnececessneeeeesseaeeeeseaeeeeseseaeees 6 Historical Growth in the Study Area ccssccccssssececesssecececseeececsssaeeecseceeeeceesensececseaueeeceesenseseesenaes 6 Forecasts Of GOW nserit iii ini stenotic aE AEE a A speeea altel a aS aia 8 Plans for Growth in the Study Area sssssssssessssssserssssrersssrrerssrtttrtettensssrertssttttsstttesteetenessreeestt 10 MCD s in the Study Area and why we are using them ccccssccceceeecsessssececeeeeeeesssssaeeeeeeeens 10 Using GAMe to Predic
59. Edit Add Field indicate ID as your desired field name You can leave all other entries at their default Ik d Click the icon and then you should be able to enter values in the ID field column of the theme s attribute table Simply number each row consecutively from 1 17 e Choose Table Stop Editing and then click Yes to save the edits and values 6 Weare now ready to initiate a CBPO nutrient loading analysis With the Liberty shp shapefile as the top most theme in ye s CBPO Loading Calculator x the view choose u B23 Define Analysis Path and File CBPO Loading Set Development File Specify Output Path fe temp 64338 C Ci You should see a Specify Input File Libertyshp Cancel dialog similar to the Specify Output GIS File liberty CEPO one atright It sbest 7 lbety EMP to change the output Use Tributary Strategy Loads Y N l N path to something informative to you e g e temp liberty you must retain the e temp portion for any analysis Also if you intend to impose specific BMPs in your analysis you should be sure that the last entry Use Tributary Stategy Loads Y N is set to N In this case N means that initially no BMPs are assumed in the nutrient loading calculations Tributary Strategy loads if chosen assume full implementation of Maryland s tributary strategies Once you cli
60. Longest Path Sub 0 Examining the table associated with this theme indicates an overall t of over 38 5 hours over 392 pixels along the longest flow path This te is nearly twice the value determined using the SCS lag equation and more than three times the value determined using the Thomas equation This generally longer time of concentration is typical finding one is likely to encounter with the pixel based approach to the calculation of the time of concentration within GISHydro2000 This finding is more likely to occur in relatively flat topography such as the eastern shore and is more likely to occur in larger watersheds watersheds in excess of 5 mi It is with this problem in mind that the Velocity Method Segment Generator dialog tool was developed Background on Why Merging Pixels Reduces Time of Concentration It s worthwhile to take a few moments to understand how the merging of multiple pixels into a single segment of channel has the effect of reducing the calculated time of concentration We begin by considering an idealized watershed in which the flow path controlling the time of concentration has uniform characteristics throughout In this example only slope will be varied although the reader should recognize that channel characteristics such as roughness or geometry also vary spatially The elevation along the longest flow path is defined by the equation yax 1 where y is elevation x is position along the flow path measur
61. OLINE MD CECIL MD DORCHESTER MD KENT MD QUEEN ANNES MD SOMERSET MD TALBOT MD WICOMICO MD WORCESTER MD ACCOMACK VA NORTHAMPTON VA 1970 82 83 387 58 81 06 19 91 53 59 29 54 16 26 18 53 18 94 23 70 54 64 24 59 28 91 14 47 1975 92 37 404 52 91 37 21 88 56 62 30 18 16 76 20 62 19 34 25 12 60 49 28 41 30 87 15 03 1980 98 27 398 55 98 11 23 21 60 63 30 54 16 70 25 69 19 11 25 73 64 64 30 88 31 27 14 57 1985 102 83 411 52 103 94 24 44 64 11 29 86 17 01 28 73 19 71 27 59 68 36 33 05 31 07 13 69 1990 111 63 443 57 113 86 27 12 71 86 30 25 17 86 34 09 23 46 30 66 74 64 35 24 31 67 13 08 1995 120 50 473 42 134 37 28 78 78 46 30 49 18 87 36 39 24 55 32 30 81 24 41 00 35 00 13 15 600 00 500 00 1970 m 1975 400 00 0 1980 300 00 o 1985 m 1990 200 00 m 1995 100 00 m 2000 0 00 l x amp amp OC Oo LH LN KH LY LY LY LY wt 9 S lt ON a amp y ee gt oN ge aF 6 SM KM SX HK SKF EFF SF KLE Y S S o S SM LS LY YM SY S amp YY amp we SF S S S amp S PF S amp A V amp S E X Y amp 2000 127 03 501 55 157 65 29 79 86 33 30 69 19 21 40 73 24 76 33 85 84 90 46 81 38 50 13 10 Employment change corresponded to population change The largest employment growth numerically and in terms of percent increase occurred in Delaware s three counties which added 229 830 new jobs between 1970 and 2000 for a total incr
62. Query Add To Set N Select From Set Click New Set in the dialog box This will select the polygons with area less than 10 build the query illustrated in the dialog box above acres We want to delete these polygons from the analysis Choose Edit Delete Records from the menu choices at the top of the ArcView interface Choose Table Stop Editing from the menu choices at the top of the ArcView interface then click Yes to save the changes You should find you now have 20 polygons remaining in your table theme Return to the view window You probably will not be able to notice any visible change in the areal extent of the mapped polygons even though you ve deleted half of them the deleted area was a very small percentage of the total area Potential next exercises Exercises 2 4 or 5 Exercise 1b Initiating a Nutrient Loading Analysis in GISHydro Generating your own Watershed Polygon Shapefile Starting Point You have GISHydro installed or access via the GISHydro web server and you have a watershed in mind that you plan to analyze for nutrient loading Note in addition to the steps described here you may find the documentation at http www gishydro umd edu workshop Manual2007 pd In this document you should particularly focus on Exercise I A Exercise I B Part One only and Exercise II A known watershed the Anacostia and a figure shown at right from the Anacostia Watershed
63. R 20 input file when selected by the user from the TR 20 control panel Only the storms durations and return periods chosen with the precipitation selector dialog box will be available for inclusion in the TR 20 model Note that if storms have already been identified for analysis at an earlier time for instance if the engineer is iteratively flowing between this dialog and the TR 20 Control Panel dialog then these storms will appear selected when this dialog re opens and the depths distributions will still be available More information about the precipitation data is available from the US NOAA Atlas 14 web page at http hdsc nws noaa gow hdsc pfds pfds_data html C 63A If the Output Storm Depths to File box is checked on the engineer will also be given an output text box below Only the storm depths selected will be indicated in this text box 2 Precipitation Frequency amp Duration Statistics GlSHydro Release Version Date September 16 2004 Hydro Extension Yersion Date September 18 2004 Analysis Date September 23 2004 Data Selected Quadrangles Used kensington beltsville clarksville sandy_spring Outlet Easting 397463 m MD Stateplane NAD 1983 Outlet Northing 155357 m MD Stateplane NAD 1983 Precipitation Frequency Duration Depths 2 year 24 hour 3 19 inches 100 pear 24 hour 8 47 inches x Configure TR 20 Control Panel Once the watershed schematic reach rating tables and precipitation d
64. TP_2008 2013_18 SHA _ProjectsCounty_Howard County 08 pdfMD_MDP_MCTP_2008 2013_18 SHA _ProjectsCounty_Kent County 08 pdfMD_MDP_ MCTP_ 2008 2013 18 SHA ProjectsCounty Montgomery County 08 pdfMD_ MDP _MCTP 2008 2013 18 SHA ProjectsCounty Queen Annes County 08 pdfMD_MDP_MCTP_2008 2013_18 SHA _ProjectsCounty_QueenAnnes docMD_MDP_MCTP_ 2008 2013 _18 SHA_ProjectsCounty_Somerset County 08 pdfMD_ MDP MCTP_ 2008 2013 18 SHA ProjectsCounty St Marys County 08 pdfMD MDP MCTP 2008 2013 18 SHA ProjectsCounty Talbot County 08 pdfMD_MDP_MCTP_2008 2013_18 SHA ProjectsCounty Washington County 08 pdfMD_MDP_MCTP_2008 2013_18 SHA _ProjectsCounty_Wicomico County 08 pdfMD MDP MCTP 2008 2013 18 SHA ProjectsCounty Worcester County 08 pdfMD_MDP_MCTP_2008 2013_19 Maryland 20Transportation 20Authority pdfMD_MDP_MCTP_2008 2013_2 CTP 2008 20Introduction pdfM Bridge Projects pdfMD_MDP_MCTP_2008 2013_9 Bicycle 20and 20Pedestrian 20Related 20Projects pdf Return to Data Contents List Maryland Department of Transportation MDOT MD MDOT 2004 MDOT TransportationAttainmentReport pdf MD _ MDOT 2005 MDOT _TransportationAttainmentReport pdf MD _ MDOT 2006 MDOT TransportationAttainmentReport pdf MD MDOT 2007 _ComprehensiveFinancialReport FiscalEnd2007 pdf MD _ MDOT _ 2007 MDOT TransportationAttainmentReport pdf MD MDOT 20yr BicyclePlan SmartGro
65. Time of Concentration Determination see page C 46 e Exercise II C Calculating Routing Reach Cross Section Parameters see page C 61 e Exercise II D Creation and Execution of TR 20 Model see page C 63 Water Quality Modeling Download the GISHydro Nutrient Loading Interpolator for the Chesapeake Bay Program Model Phase II available at http www gishydro umd edu documents mde_reports MDE_ nutrient _phasell pdf The pdf document cited above is again based on a version of GISHydro tailored for the State of Maryland but the concepts and procedures mostly remain the same with the exception of the Future analysis option which will be described later on in this document We encourage the reader of this document to review the following exercises from this document also provided in Appendix D e Exercise 1 Initiating a Nutrient Loading Analysis in GISHydro both Exercises 1a and 1b see page D 18 e Exercise 2 Performing a Conventional Default Nutrient CBPO Nutrient Loading Analysis see page D 26 e Exercise 3 Tabular Analysis of the CBPO GISHydro Nutrient Loading Output File see page D 27 56 Exercise 2 The DelMarVa interface Choosing Scenarios The opening screen of the DelMarVa interface version of GISHydro2000 presents a view window called DelMarVa View analogous to the Maryland View presented in the exercises from the earlier ArcView GIS 3 3 GISHydro2000 metric Eile Edit View Iheme
66. _2008 2013_15 Maryland Aviation Administration pdfMD MDP MCTP_ 2008 2013 _16 Maryland Port Administration pdfMD MDP MCTP_ 2008 2013 17a MTA Summary pdfMD MDP MCTP_ 2008 2013 _17b Maryland Transit Administration Construction CTP 08 pdf MD_MDP_MCTP_2008 2013_17c Transit Administration Development amp Evaluation CTP 08 pdfMD_MDP_MCTP_2008 2013_17d Maryland Transit Administration Minor Rev 08 pdfMD_MDP_MCTP_ 2008 2013 _18 1 Washington Metropolitan Area Transit pdf pdf MD MDP MCTP 2008 2013 18 SHA aProjectsSHA Summary _08 pdfMD MDP MCTP 2008 2013 18 SHA aProjectsStatewide 08 rev pdfMD MDP MCTP 2008 2013 18 SHA ProjectsCounty Allegany County 08 pdf MD_ MDP MCTP_ 2008 2013 18 SHA ProjectsCounty Anne Arundel County 08 pdf MD MDP MCTP 2008 2013 18 SHA ProjectsCounty Baltimore City 08 pdfMD_MDP_MCTP_2008 2013_18 SHA_ProjectsCounty Baltimore County 08 pdf MD MDP MCTP_ 2008 2013 18 SHA ProjectsCounty Calvert County 08 pdf MD MDP MCTP 2008 2013 18 SHA ProjectsCounty Caroline County 08 pdf MD MDP MCTP 2008 2013 18 SHA ProjectsCounty Carroll County 08 pdfMD_MDP_MCTP_2008 2013_18 SHA ProjectsCounty Cecil County 08 pdf MD MDP MCTP 2008 2013 18 SHA ProjectsCounty Charles County 08 pdfMD_MDP_MCTP_2008 2013_18 SHA _ProjectsCounty_Dorchester County 08 pdfMD_MDP_MCTP_2008 2013_18 SHA _ProjectsCounty Frederick County 08 pdf MD MDP MCTP 2008 2013 _ 18 SHA ProjectsCounty Garrett County 08 pdfMD MDP MCTP 2008 2013 18 SHA ProjectsCounty Harford County 08 pdfMD_MDP_MC
67. _till lo_till hay pasture manure forest mixed_open pervious_urban imperv 210024021 4210 27 9 22 2 7 8 11 4 1985 3 2 0 6 7 13 3 9 9 10 4 210024013 4210 27 9 22 2 7 8 11 4 1985 3 2 0 6 7 13 3 9 9 10 4 Nitrogen Loading Table in tons year 210024021 2100240135 210024021 12 3 0 0 0 0 0 ID COSEG hi_till lo_till hay asture manure ixed_open pervious_urban imperv eee 1 210024021 pat 19 6 3 Yd 0 Unmitigated 2 210024013 4 7 i 2 0 0 3 210024021 17 1 4 210024021 26 3 Loads 5 6 7 8 Pr UWONOWU N m 2 0 0 3 0 0 0 0 1 p 3 0 3 4 0 1 0 0 2 4 1 23 210024021 0 0 1 0 8 NOONPENHO NUON Wine NN EPORUWOO MOOOOUWNEN NOORROOO ooooooo o0 0 FUN DMOORG 1 6 4 9 5 5 2 1 Nitrogen aggregate alpha BMP values 210024021 00 00 210024013 00 00 210024021 00 00 00 00 00 00 00 00 00 00 00 00 00 00 p ID COSEG hi_till lo_till hay forest mixed_open pervious_urban imperv a 210024021 00 00 I 1 00 1 00 1 00 00 1 00 Nitrogen 2 210024013 00 00 13 1 00 1 00 1 00 00 00 3 210024021 00 00 1 1 00 1 00 1 00 00 00 4 210024021 00 00 is 0 25 1 00 1 00 00 00 as 5 210024021 00 00 p 2y 1 00 1 00 00 00 6 1 i 1 1 7 t 1 1 1 8 1 1 1 1 ooo ooo Nitrogen aggregate beta BMP values ID COSEG hi_till lo_till hay pasture manure forest mixed_open pervious_urban imperv 210024021 1 00 1 00 1 00 00 1 00 1 00 1 00 00 1 00 Nitrogen 210024013 1 00 1 00 00 1 00 1
68. a book on ArcView and or read the on line help Documents ArcView allows the user to view and use a number Untitled Jorg of different types of documents in order to perform GIS op the based analyses The window at the right shows an empty ArcView project as you first enter the software The different icons on the vertical bar indicate a number of the broad categories of documents that ArcView recognizes views tables charts layouts and scripts We will discuss only those documents which need to be understood to effectively use GISHydro Views The View window is the document you are most likely to think of when you think of a GIS This is the window that visually displays the spatially distributed data that is being analyzed Within GlSHydro there will be two view windows that are used extensively the Maryland View and the Area of Interest We will discuss the contents and functionality of these views later Themes Strictly speaking themes are not documents but are rather sub documents that appear within the View window A theme is an areal coverage showing the distribution of a certain property such as county boundaries the road network land use etc Themes come in three types feature image and grid Feature data is ArcView s name for the Vector data format in generic GIS terms Image data is ArcView s way of allowing the user to load in aerial photography or scanned
69. an extent for at least two time periods a historic transportation network for at least two time periods slope and an excluded attraction layer For this work we proposed to model the spatial pattern of various futures for the Delmava Peninsula using two models GAMe and SLEUTH GAMe Reilly 1997a 1997b is a coarse scale growth allocation model which takes regional forecasts of population and employment and estimates the resulting impervious surface change to smaller municipal scale units GAMe has sophisticated demographic and policy simulation capabilities and is the main tool used to simulate trend and the alternatives futures identified in this study In this case SLEUTH relies on municipal scale trend and alternative growth forecasts produced by GAMe and produces fine scale 30 m resolution maps of where growth is likely to occur in each municipality The general flow of inputs and outputs between SLEUTH and GAM e is outlined in Figure 1 below 24 ice E3 Figure 1 Loose coupling of SLEUTH and GAMe SLEUTH tasks are shown in red boxes GAMe tasks are shown in green and a third modeling task scenario development is in orange Calibrating the SLEUTH Model As noted above before forecasting with SLEUTH can be undertaken the model must first be calibrated To accomplish this task for the DelMarVa peninsula we had to first assemble an extensive GIS database that now includes URBAN LAND COVER Urban land co
70. ansPrgm_ FY2005 FY2010 pdf 1_nathan_intro_letter pdf 2_6 year final project_listing pdf 3_lege nd_of_abbreviations pdf 4 swi expressways pages 2 1 thru 2 5 pdf SW arterials pages 2 6 thru_2 9 pdf SW locals pages 2 10 thru_2 13 pdf SW bridges pages 2 14 thru 2 20 pdf SW other_pages 2 21 thru _2 44 pdf WO Jo JV ION Jn SW other_pages 2 45 thru _2 62 pdf 0_sw_grants_allocations_pages_2 63_thru_2 71 pdf l_sw transit_vehicles_pages_2 72_thru_2 78 pdf 2_sw transit_amenities_pages 2 79 thru_2 88 pdf 3_sw_transit_rail_pages_2 89_thru_2 95 pdf 4_sw planning pages 2 96 thru_2 99 pdf 5_sw transp_ facilities pages 2 100 _thru_2 106 pdf 6_sw transit facilities pages 2 107 thru_2 110 pdf 7_sw technology pages 2 111 thru_2 116 pdf 8 _sw_equipment_pages_2 117_thru_2 121 pdf 9 sw transp_mgmt imp pages 2 122 thru_2 127 pdf 20_sw eng contingencies pages 2 128 thru_2 131 pdf 21_sw_ez pass_liability pages 2 132 thru_2 135 pdf 22 sw aeronautics pages 2 136 thru_2 139 pdf 23 _sw_parking facilities pages 2 140 thru_2 143 pdf 24 _ncc_expressways_ pages 3 1 thru_3 29 pdf 25 _ncc_arterials pages 3 30 _thru_3 53 pdf 26_ncc_ arterials pages 3 54 thru_3 75 pdf 27_ncc_arterials_pages_3 76_thru_3 97 pdf 28 _ncc_arterials pages 3 98 thru_3 112 pdf 29 nce arterials pages 3
71. aring to Drag and Drop Probably the easiest way to copy files between the server and your local machine is to use the drag and drop method To do this you should have two copies of Windows Explorer open i e perform Step 1 twice Be sure that you are launching Windows Explorer only from the server We will refer to these two Windows Explorer windows as WinExp1 and WinExp2 c Uploading a file e In WinExp1 go to one of the Network Drives e g CS which is seen as V by the server and navigate in WinExp1 until you ve located the file you wish to copy to the server e In WinExp2 navigate to e temp under Hard Disk Drives If you are already working in a specific subdirectory off of e temp go to that sub directory e g c temp liberty If you have not yet begun an analysis in GISHydro you may need to use WinExp2 to create a new folder off of e temp called for example liberty to which you will be copying files e With both WinExp1 and WinExp2 open to the correct folders simply click on the file in WinExp1 drag it over to WinExp2 and drop the file there This should initiate a file copy command and upload the file from your local machine to the server d Downloading a file e This process is essentially the inverse of uploading a file as described above e In WinExp1 navigate to the folder under Hard Disk Drives that contains
72. at over long distances or are there only small pockets of flat areas You might wish to use the Create contours menu choice under the Surface menu in GISHydro2000 to create a contour map of the DEM for guidance in visualizing the topography A genuinely flat area should be reflected by a segment that combines the pixels that span this area The engineer should endeavor to merge pixels to create segments that reflect breaks in slope along the watershed e Examine the overall drainage network as it interacts with the longest flow path Are there locations where significant tributaries join with the longest flow path This is especially likely along the channel portion of the flow path In such locations the channel geometry is likely to change quickly to reflect the increased drainage area associated with the tributary In such locations you should use the identify tool to identify the upstream downstream pixel numbers along the longest flow path and then use the Velocity Method Segment Generator dialog to combine pixels into segments that begin end at these large tributary junctions Ultimately the decision of whether and to what degree to merge pixels must rest with the engineer Simulated discharges using TR 20 and other rainfall runoff models C 56 are very sensitive to measures of representative time scales for the watershed The time of concentration is a powerful parameter the engineer might vary during the ca
73. ata NOT COMPLETELY available for selected quad Ragan and SSURGO NOT COMPLETELY available for selected quad DEM Processing Parameter lydrologic Conditio to be defined later with gt V Perform Processing 7 Burn Streams Reset Apply Cancel Enter Threshold Area pixels 250 Specify Output File Path c tempanacostia Some processing of the selected data will ensue that may take about 60 to 90 seconds to complete You will then see a new view window called the Area of Interest view that shows your selected data and is ready for you to indicate the location of your overall watershed outlet You will need to zoom to location of the overall watershed outlet click the W tool button and then click on the blue pixel on the shown stream network that best captures your estimation of the overall watershed outlet Please note in this picture the black outline of the Anacostia watershed is added for perspective however this outline will not be present in your analysis You will need to visualize the watershed and watershed outlet you wish to delineate by examining the drainage network road network or other themes and using them for guidance Also note that before clicking the W tool and then clicking in the view to delineate your watershed you will need Overall i k Watershed Outlet to use the Magnifying Glass Tool described in earlier in the ArcView tutorial section of this documen
74. ate areas of underestimation Figure 5A shows results from the initial calibration using an excluded layer that incorporates only lands excluded from development i e the excluded layer 28 in Figure 3 Figure 5B shows results from the calibration where population density at the MCD scale is used as positive or negative weighting and Figure 5C shows results when population density weighting is used and when existing urban centers are weighted to resist additional development i e the excluded layer shown in Figure 4 A B C D N N Percent Difference in Urban Cover By s Percent Difference in Urban Cover Percent Difference in Urban Cover E 3 00 397 29 F 2 96 1 30 135 1 35 0 68 Ee oe EE 0 07 0 00 He 00s 0 08 06 BBB 0 06 067 Hl 005 007 268 05 oes EE 2 00 271 os 2 x u ESE North American Datum 1983 UTM 18 North Created by A J Bech Shippensburg Univ North American Datum 1983 UTM 18 Nosm Created by AJ Bech Shippensburg Univ North Amone can Datum 1983 UTM 18 North Created by AJ Beck Shippensburg 9 Unb Figure 5 Calibration results for the DelMarVa We note that overall performance of SLEUTH at the MCD level is quite good in all three cases but that incorporating information about population density into the excluded attraction layer improves the spatial allocation of growth i e compare A to B incorporating
75. ave already had val You might also note that all of these functions can also be performed from the View menu choice as well It is often the case that menu choices have corresponding buttons to speed the operation In the case of navigating the view you will probably find it easier to use the buttons than the menu choices We now move to the three tools that allow you to speed the window navigation process From left to right the bottom row of tools work as follows e Magnifying Glass Tool This tool allows you to draw a rectangle around the area you wish F to zoom to The rectangle can be as big or little as you wish and you can use this tool repeatedly to zoom in as tight to a location as you wish e Magnifying Glass Tool This tool works like the one above except that the amount of ey panning performed is inversely proportional to the size of the window you draw If you draw a big rectangle within the View window it works much like the Zoom out incrementally button If you draw a very small window the view will pan out to a very great degree e Hand Tool This tool works by grabbing a point in the view window and dragging it up down to the left or right as desired to move the center of the view from one location to another The Identify Tool With any theme active you can use the identify tool to inspect the contents of any pixel or item Click on the theme s you want to be active click on the ide
76. budgets No updates were provided MCD s in the Study Area and why we are using them Within the study area the US Department of Commerce Census Bureau has defined 142 Minor Civil Divisions MCD s MCD s are sub county areas which have stable boundaries and a recognizable name The following map illustrates the MCD s in the DelMarVa Study area See http www census gov mso www rsf geo_con sld009 htm 10 MCDs MCDs MCD s were chosen for use in this study because the main growth allocation equations used in GAMe such as the equation to predict future employment were originally developed using MCD data Townships Towns and Cities in New Jersey The size distribution of the MCD s found in the DelMarVa falls within the range of the NJ MCD datasets Use of larger or smaller areas than that used in the original GAMe research would violate good statistical modeling procedures and necessitate a complete re examination of all GAMe equations There is another advantage in using the more intimate MCD scale Past personal experience in growth allocation modeling has revealed that county and larger scale predictions are only meaningful to a small number of specialists who work with such information on a regular basis By using the more local 11 MCD s we hope that GAMe forecasts and especially the trend forecast will be a scale which enables local citizens to think about the likelihood of these pr
77. button zooms to the extent of all themes loaded into the view window If you have themes of differing extent for instance a theme covering only a single county and another theme covering the entire state this button will zoom to the extent of the state e Zoom to the Extent of Active Data This button zooms to the extent of only active theme s in the view window If your single county coverage is the only active theme pressing j this button will zoom to the extents of the county regardless of the extents of other data in the view window e Zoom to Selected Data When only some items of a vector theme have been selected this button will zoom the view to only to the extents of these selected items e Zoom in Incrementally This allows you to zoom in centered on the current condition of the 3x view window a small amount This button is good if you want to slightly nudge the view window to display the contents at center slightly larger If you want to perform a more substantial zoom you should use the magnifying glass tool described below e Zoom Out Incrementally This button is the opposite of the one above panning the view be 46 out by a small amount If you want to perform a more substantial pan you should use the magnifying glass tool described below e Zoom to Previous View ArcView remembers previous conditions of the view window You EFEN can click this button to scroll backwards through view extents you h
78. c 8 11 2011 9 55 A Sitemap A4 of 11 DE StateCode Chp179 file C Users Glen AppData Local Temp contents html WaterSelfSufficiency and Provision pdf DE StateCode Chp317 Waste WaterTreatmentRegulation pdf DE wastewater KENT 2005 Projections factsheet pdf DE wastewater KENT Map Treatment 2007 pdf DE wastewater KENT Prohibitions 2008 CommunityWastewaterProhibition1 30 08 pdf DE wastewater KENT Prohibitions 2008 CommunityWastewaterProhibitionZoning pdf DE wastewater NEWCASTLE 2005 Projections factsheet pdf DE wastewater SUSSEX 2005 Projections factsheet pdf DE wastewaterTreatmentPlan LongTerm 2004 2009 pdf DE water_management DE DNREC_AnnualReport_WastewaterManagement pdf DE water management DivWaterResources FAQs pdf DE water management GreenTechMinimizeStormwaterRunoff BMPs 2005 pdf DE water management KENT SourceWaterProtectionOverlayMap 001 pdf water management RegsGoverningA llocation Water pdf DE water management SedimentAndStormwaterRegs 1993 2006 pdf DE water_management Statewide TMDL MajorCreek Rivers Index pdf DE water management Statewide WatershedAssessment_1998 pdf DE water management Statewide WatershedAssessmentReport_2000 pdf DE water management Statewide WellheadProtectionProgram pdf DE water_management WatersRiversR
79. ccccccssssssssseeeceesesssessaeseceeeeeseesssseaeens A1 A11 Appendix B Lands Included in Protected Lands Database ccccccccssssssssceceeeeessessnssseeeeees B1 B1 Appendix C Relevant Pages from GISHydro2000 User s Manual for Water Quantity Modeling Exercise I A Beginning a Hydrologic Analysis with GISHydro2000 cccsssceceeeesteeeeees C 25 Exercise I B Watershed Delineation cccsssscccccssstececesseeeececseneececssaeeecseseeeeeseseaaeeeenes C 29 Exercise I C Discharge Estimation Using Regression Techniques c ccsscccccceeessesertees C 39 Exercise II A Introduction to TR 20 Modeling and Subdivision sccccessseeeeeeeenteeeeees C 43 Exercise II B Time of Concentration Determination ccccccccesssececessteeeceeeeeeeeeeeeaeeeeees C 46 Exercise II C Calculating Routing Reach Cross Section ParaMeterS cccccccccccesssesereees C 61 Exercise II D Creation and Execution of TR 20 Model c cccccssssecesessteeecesseeeeeeeeaeeeeees C 63 Appendix D Relevant Pages from Nutrient Loading Interpolator User s Manual for Water Quality Modeling Exercise 1a Initiating a Nutrient Loading Analysis in GISHydro Starting from an Existing Polygon Shapetiles i2hc sss ssi viventieceies cet ened eee eed a en ee D 18 Exercise 1b Initiating a Nutrient Loading Analysis in GISHydro Generating your own Watershed Polygon Shapefile c cccccccccscssssssssececeeecsssessn
80. check boxes under Quick Merge notice that the Recalculate Tc button becomes enabled Click the button to combine the flow times for all pixels on the longest flow path of that watershed based on their classification as overland swale channel or a mixture The attribute table will be re computed and the velocity method statistics for that watershed updated C 58 lt 2 Attributes of TcpathO shp Select Sub Area _ _ Velocity Method Statistics Create Update Segment Sub Area 0 Quick Merge Overall Te hrs 3 763 I Single Overland Sings Swale Overland Te hrs 0 140 _ I Single Channel Swale To hrs 0 518 Channel Te hrs 3124 Merge Specific Segment Overland Segments T Upstream Pixel Swale Segments 35 Downstream Pixel Channel Segments 162 What is the overall Tc for the current sub area after merging Is it higher or lower than before Why Click Close Dialog and repeat the Quick Merge procedure for the four remaining subwatersheds Summarize the flow times below Northwest Branch Velocity Method Flow Times SCS Lag Tc Hydrology Pre Merge Post Merge Sub area hrs Panel Tc Overall Overall hrs Tc hrs Tc hrs 0 3 66 2 37 1 3 91 2 39 2 3 24 2 12 3 0 31 0 81 4 3 41 2 01 You should note that the Quick Merge procedure produces the shortest
81. ck the OK button GISHydro will process the input shapefile this may take a few seconds to minutes depending on the number of polygons in the shapefile 7 When control of GISHydro returns to the user you should find that a new theme has appeared at the top of the view called something like Liberty_cbpo_current shp This theme visually should look a lot like your original input theme but if you look closely you ll see that some of the polygons have been split along the Carroll Baltimore county border Opening the theme s attribute table Use Theme Open Table should reveal that in fact the 17 input polygons have been split into 40 polygons A few of these splits are due to the county border issue but most are essentially meaningless differences in the understood watershed boundaries between the original Md12digit18may2005 shp shapefile and the watershed cosegments used by the CBPO Our next step will be to delete many of these very small split polygons Please note that if you are using the webserver GISHydro is installed on the e drive If you are working on a stand alone version of GlSHydro it will probably be installed on the c drive Examples presented here will assume the user is working on the web version of GISHydro D 20 8 To remove the meaningless split polygons a Choose Table Start Editing from the top of the ArcView acres lt 10 interface Use the
82. cosegment cell then no BMP has been specified for this land use cosegment pair o Annual BMP mitigated loadings in tons yr The land use acreage presented in Area 1 is multiplied by the loading rates presented in Area 2 sub block1 and the appropriate BMP 65 equations are applied to produce the BMP mitigated total nitrogen load in tons yr This block is analogous to Sub block 2 except that it reflects the performance of BMPs e Area 3 Phosphorus The Phosphorus area is presented in exactly the same way as nitrogen described above e Area 4 Sediment The Sediment area is presented in exactly the same was as nitrogen and phosphorus with the exception that the loading rates presented in Sub block 1 are presented in tons acre yr rather than Ibs acre yr For the current and future analysis of the study watershed presented in the earlier examples we now present a summary of the nutrient loading analysis findings No BMPs were applied in this analysis Underlying Current Land Use areas are in acres E L 2 we Be 5 c c 5 e sf ep F835 82 g ng E E O g 5 5 z 1 410010005 88 5 175 6 4 1 7 0 2 258 78 1 11 5 7 7 0 2 410024045 163 464 3 5 12 1 0 2 208 115 1 8 1 1 0 3 420010005 103 205 4 4 7 8 0 218 91 2 95 1 67 0 4 420024045 3060 873 6 66 5 229 3 2 6671 2159 1068 900 75 4 5 430024045 0 0 0 0 O 12 5 0 0 1 0 1 0 Totals 3414 1301 78 8 257 3 5 7367 2443 1176 976 75 4 Underlying Future Land Use areas are in ac
83. ctober 2005 WO6 5 Campbell P Population Projections Current Population Reports Population Projections States 1995 2025 US Department of Commerce Census Bureau May 1997 P25 1131 Ciavola S 2011 Using SLEUTH Land Cover Predictions to Estimate Changes in Runoff Quality and Quantity in the DelMarVa Peninsula M S Thesis Virginia Polytechnic Institute and State University Ciavola S J C A Jantz J Reilly and G E Moglen submitted Forecast Changes in Runoff Quality and Quantity in the DelMarVa peninsula Submitted to the Journal of Hydrologic Engineering ASCE submitted May 24 2011 Clarke K C Hoppen S amp Gaydos L 1997 A Self modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area Environment and Planning B Planning and Design 24 247 261 Clarke Keith C amp Gaydos L J 1998 Loose coupling a cellular automaton model and GIS long term urban growth prediction for San Francisco and Washington Baltimore International Journal of Geographical Information Science 12 7 Dillow J J A 1996 Technique for estimating magnitude and frequency of peak flows in Maryland USGS Water Resources Investigations Rep 95 4154 U S Geological Survey Baltimore Employment Densities Report for English Partnership and the Regional Development Agencies AruoEconomics Planning July 2001 Employment Densities a Simple Guide AruoEconomics
84. d area and multiplied by 100 to give developed land change in units of percent The changing hydrologic outputs are the changing loads or flood peaks based on projected future land use normalized by the initial condition equivalent and again multiplied by 100 to give units of percent In Figure 16 we examine the smallest Wicomico 4 watershed with data aggregated from across all nine growth scenarios Figure 16 also provides 45 degree lines which separate data that shows less that 1 1 sensitivity if observations should graph within the V shaped envelope between these lines and greater than 1 1 sensitivity if observations are outside of this envelope Results in Figure 16 show that sediment loads are consistently and strongly outside the 1 1 envelope and that for change in urban development less than approximately 6 percent the 2 year 24 hour flood peaks are also outside this envelope All other quantities the 100 year 24 hour flood and nitrogen and phosphorus loads show less than a 1 1 sensitivity Results presented here are typical but are also unique to the Wicomico 4 watershed Other watersheds will exhibit slightly different sensitivities dependent on the initial condition land uses the location and magnitude of future land uses The interpretation of these results is useful in providing guidance for future planning Sediment loads and to a lesser extent 2 year 24 hour flood peaks exhibit some amplified 42 sensitivity to urbanization In t
85. documentation The user is constrained to select a single scenario which corresponds to future land use under that growth model GlSHydro will allow the user to study this scenario in comparison to Current conditions which amount to the CCAP 2005 characterization of land cover on the DelMarVa peninsula 57 Let s undertake a specific analysis for illustrative purposes We will use the Plan High future development scenario here and focus on the watershed draining the northern part of the city of Salisbury The dialog box at right shows the selected quads Hebron Delmar and Pittsville that cover this area The Plan High landuse is selected GISHydro2000 Select Quadrangle s for Hydrologic Analysis 340 Quads Available aberdeen accomac annapolis assawoman_bay barren_island bay_view bennetts_pier berlin_md Add 3 Quads Selected hebron delmar pittsville Pick Tool Select DEM Data NED DEMs z Select Landuse Data Plan High z Select Soils Data SSURGO Soils z Q MOP and Ragan landuse data NOT COMPLETELY available for selected quad DEM Processing Parameter IV Perform Processing V Burn Streams Enter Threshold Area pixels 250 Hydrologic Conditio to be defined later with gt Specify Output File Path c temp 20201 Reset Apply Cancel and the SSURGO Soils are selected this is the highest resoluti
86. e Avenue and Ednor Road in the northeast corner of the Northwest Branch watershed The 2000 Maryland Office of Planning land use database uses land use categories to describe the land cover conditions Unlike the other golf courses located within the watershed that are categorized as 18 Urban Open Land the course of the Hampshire Greens Golf Club has a category of 11 Low Density Residential 2004 Mictosok Corp 2003 NavTech and forGDT Inc In this part of the exercise we will modify the land use database to correspond with a more appropriate land use and hydrologic condition for the Northwest Branch watershed Step 1 Invoke the Land Use Modification Dialog fut Press the z y m button located to the right of the Q button used earlier to initiate the analysis This will bring up the dialog box shown below C 32 Exercise I C Discharge Estimation Using Regression Techniques and Graphical Comparison GISHydro2000 includes the capability to calculate discharges using several regression techniques These statistical predictions of peak flow are based on watershed parameters land use physiographic region and other factors The regression discharge estimates are used for comparison with discharges predicted by TR 20 in accordance with the recommendations of the MD Hydrology Panel This exercise describes the use of GISHydro2000 to calculate peak flow regression estimates for the Northwest Branch water
87. e we instead direct the reader to these other sources with a focus on streamlining the activities to prepare for the use of the DelMarVa tool In particular this exercise will point the reader to two documents The link to the complete documents is provided below for completeness but for simplicity the needed excerpts from the other documentation is provided as appendices to this document Water Quantity Modeling Download the GISHydro2000 User s Manual available at http www gishydro umd edu workshop Manual2007 pdf The pdf document cited above is based on a version of GlSHydro tailored for the State of Maryland but the basic principles of associated with data selection watershed delineation hydrologic analysis and use as a front end to the TR 20 hydrologic model all are conceptually the same We encourage the user of the DelMarVa version to review and or perform the following exercises from that manual also provided in Appendix C so as to gain basic proficiency in the use of the GISHydro2000 tool e Exercise I A Beginning a Hydrologic Analysis with GISHydro2000 page C 25 e Exercise I B Watershed Delineation and Modifying Land Use and Hydrologic Conditions page C 29 Suggestion Focus on Part One only watershed delineation e Exercise I C Discharge Estimation Using Regression Techniques and Graphical Comparison page C 39 e Exercise II A Introduction to TR 20 Modeling and Subdivision see page C 43 e Exercise II B
88. e Specific Segment area of the dialog box and click the Recalculate Tc button lt 2 Attributes of Tepath1 shp Velocity Method Segment Generator Recalculate Tc Select Sub Area Melocity Method Statistics Create Update Segment SubAea 7 Quick Merge I Single Overland Overall Te hrs 5 825 T Single Swale Overland Te hrs 0 107 I Single Channel Swale Te hrs 0 388 rs Channel Tc hrs 5 331 Overland Segments 2 Swale Segments 22 Channel Segments 186 Close Dialog Merge Specific Segment Upstream Pixel 3 Downstream Pixel 24 PolpLine You will notice that the swale flow segment is now collapsed into one segment with an overall Tc of 5 733 hours a decrease of approximately 2 Repeat the Merge Specific Segment technique for the swale segments for the other sub areas in the watershed Which sub area exhibits the greatest decrease in overall Tc as a result of the swale segment aggregation Once all Tc values are finalized choose CRWR PrePro Generate Schematic to generate the connectivity between sub areas required by the TR 20 model C 60 Exercise II C Calculating Routing Reach Cross Section Parameters In order to perform the desired reach routings for the model schematic generated in the previous exercise it will be necessary for us to define a cross section rating table for each Recall that the cross section rating table contains the
89. e calculated using the velocity method approach and the s determined earlier in the Watershed Statistics dialog by the Thomas and SCS lag equations C 48 Figure 2 at right shows the standard Time of Concentration Calculation Select Method dialog as it appears for the SCS Lag Formula analysis of this example Hydrology Panel Te Method Channel Flow watershed Default values are Velocity Method Te Calculation Pc TEN chosen in all cases this amounts C Use Inferred Streams Source Area mi2 to a 2 year 24 hour precipitation Sheet Flow Shallow Fh ne 005 0 0836752 depth of 3 39 inches as Cea K avel oef F xp J determined by the NOAA Atlas gt Channel Dah 14 dataset for the sheet flow gua lone HE Exp 0 32 L ft po annel Area portion of the time of Coe 10 34 Esp 07 concentration unpaved conditions for the swale flow portion of the time of concentration and use of the National Hydrograph Dataset cea sa cs NHD streams to indicate the location and onset of channels Figure 2 The Time of Concentration Calculation dialog box Shown are the choices used in this example watershed analysis Apply To ALL SubAreas C ONLY Selected Sub Areas for the channel flow portion of the time of concentration Once these parameters are set and the dialog closed we select the Calculate Attributes menu choice which produces the raster theme
90. e default subdivision based on the inferred streams will be used likely C 43 resulting in more subdivision than desired Once the streams are added the modified stream network looks like 2 Area of Interest Sandy_spring and others _ Modified Outlets Modified Streams _ Stream Links _ AddasStreams shp v AW atershed z L No Data _ 2 yr Prec M MD Quads W MD Roads _ Curve Number _ Soils Land Use E Original DEM C 51 3 119 35 L 119 356 187 7 187 411 25 32 391 d z C 44 Sub watersheds Now we will delineate sub watersheds for the Northwest Branch watershed GISHydro will create a subdivision at each stream confluence or at an outlet point placed in line on a stream using the O tool Although not illustrated as part of this exercise this tool allows watersheds to be subdivided in series to describe abrupt changes in channel conditions for example From the CRWR PrePro Menu select Delineate subwatersheds After some processing a new theme with 5 sub watersheds should be displayed see below Note that the small sub area near the basin outlet is created between the gage and the upstream confluence TR 20 output i e peak discharge or runoff hydrograph can be reported at the confluence in this case as we would expect neither significant increase in runoff due to the small contributing area nor attenuation in the stream reach due to its short length i e
91. e yrs on site pdf e MD Office of Planning HomePage Committees SubOrgs Etc pdf e MD Office of Planning Org chart Apr 2008 pdf MD Land Use Preservation and Agriculture e CriticalAreaProgram Ches Baysmart c2007 pdf e DE SierraClub_CostofSprawlinDE pdf MD Planning and Projections MD 2006 2008 State Personal Income 2007 Bur Eco Anal pdf MD _2007_NatCtrSmartGrwth_MDSpendingReport pdf pdf MD 2005 EasternShoreLandConsv State of Shore Prjctns pdf MD Office of Planning PlanningBoundariesMap pdf MD Sewage and Water e 2003 Salisbury DPW_WastewaterStats Planning etc pdf e MD Wastewater Rehoboth OceanOutfall_q NEWS 2008 pdf MD Transportation 1 Table of Contents pdfMD_ MDP MCTP_ 2007 2012 _1 Introduction pdfMD MDP MCTP_ 2007 2012 10 BRAC 20Related 20Projects pdfMD MDP MCTP_ 200 MD Office of Planning Consolidated Transportation Programs CTPs MD MDP 2007 2012 Consolidated Transportation Program 8 11 2011 9 55 A Sitemap file C Users Glen AppData Local Temp contents html Return to Data Contents List MD MDP 2008 2013 Consolidated Transportation Program MD_ MDP _MCTP_ 2008 2013 _1 Table of Contents pdfMD MDP MCTP_ 2008 2013 10 Regional 20Aviation 20Grants pdfMD MDP MCTP 2008 2013 11 BRAC Related Projects 08 pdfMD_MDP_MCTP_2008 2013_12 Revenue Increase Projects pdfMD_MDP_MCTP_2008 2013_13 The Secretary s Office pdfMD_MDP_MCTP_2008 2013_14 Motor 20Vehicle 20Administration pdfMD_MDP_MCTP
92. ea In all testing we predicted year 2000 values for MCD s using MCD data from 1980 and 1990 Our results are presented using two metrics The first metric termed RSq Total is a measure of the correlation between the total forecasted value either housing or jobs in an each MCD in the county and the actual count reported in the Census or other data source Woods and Poole employment data It can be seen that the housing model produced excellent results in every county in Maryland and Delaware but was less predictive in the two Virginia counties After much analysis the cause of this Virginia problem was discovered We found that with each census the boundaries of census tracts and MCDs were changed with the result that one could not reliably use historic records as each census reported the information for a different location The second metric termed RSq A R Square Delta is a statistical comparison of only the change in the housing or jobs in each MCD in a county In other words it compares the difference in total growth or decline reported in the Census to the growth or decline predicted in the model This second metric is much more difficult value to predict as it directly reflects routine statistical outlier errors It also was an interesting bell weather of spatial growth change to the historic pattern as both models implicitly assume that past historic growth trends will continue into the future Where we had low RSq A s we found that t
93. earch contacts and other documents on or about urban planning and developmental impacts on the Chesapeake Bay watershed being studied under the Seagrant In order to find what you are looking for it s recommended you briefly skim the organization of the data note that all links are not necessarily web friendly i e some are excel files others are text etc and tips on how to find and search the data Below are further instructions Please contact the author Andrew Timleck with any questions File Sort Structure Files are listed first by federal and then state by state areas of planning interest The general directory structure follows the outline below e Contacts and Organizations not only state contacts but also related NGOs advocates and interested public groups e GIS where applicable e Land Use and Preservation including Agricultural Easements and preservation e News and Commentary e Planning and Projections economic labor population demographics plans and forecasts e Sewage and Water capital development plans forecasts news etc e Transportation generally broken down again by agency including State Highway and Public Transportation entities and capital planning and projects Opening Documents Under each state sub area the titles link original source documents which may be official planning documents maps news or press releases etc Please keep in mind that some files need to be opened in particular application
94. ease of jobs 1970 to 2000 of almost 84 The Maryland portion of the study area grew its job base by 88 3200 for an increase of just over 73 Virginia had the lowest rate of growth at almost 30 While this might pale compared to the other States one has to recognize that Virginia added 10 to its job based every decade for 3 decades The fastest rates of County employment growth were in Queen Anne County MD which increased by 10 400 jobs achieving a growth rate of 155 Worchester County MD which added 17 200 jobs for a rate of 121 Talbot County MD with 13 280 new jobs for a 106 increase and Sussex County DE which added 40 570 jobs an increase of 98 Only Northampton County VA lost jobs during the period Figure 2 Employment Change by County 1970 to 2000 TOTAL EMPLOYMENT THOUSANDS 1970 1975 1980 1985 1990 1995 2000 KENT DE TOTAL P 42 22 44 75 46 41 51 32 58 61 66 67 71 00 NEW CASTLE DE 190 83 203 10 219 08 250 02 298 47 308 35 351 31 SUSSEX DE 41 53 44 29 46 64 57 35 65 95 71 76 82 11 CAROLINE MD 8 13 7 84 8 50 9 59 11 10 11 63 13 33 CECIL MD 20 98 17 80 19 14 20 41 25 81 27 32 32 03 DORCHESTER MD 13 94 14 33 14 37 14 81 16 22 15 63 15 72 KENT MD 7 30 7 78 8 08 8 36 10 15 10 56 11 30 QUEEN ANNES MD 6 71 7 33 8 41 9 69 12 81 14 09 17 11 SOMERSET MD 6 75 7 25 7 19 7 53 9 00 8 92 9 81 TALBOT MD 12 58 14 29 15 97 17 67 21 44 22 95 25 86 WICOMICO MD 29 97 31 41 33 64 39 70 45 12 48 83 52 32 WORCESTER MD 14
95. ed from upstream to downstream For simplicity we will examine a unit length of the flow path from x 0 to x 1 Slope along the longest flow path is simply C 49 dy Se 29 2 hk x 2 Assuming channel flow and either a Manning s or Chezy velocity relationship ves 3 where v is the velocity Incremental travel time df is just the incremental distance divided by the velocity dt c 4 a where c is a constant that is dependent on roughness and channel geometry The total travel time is just the a of equation 4 ya V2x ev2 Vi V0 ev2 5 For simplicity let s assume i then the travel time over this unit length segment is just V2 For contrast Table 1 shows the travel time if the channel is treated as having one two or three segments over the distance from x 0 to x 1 Table 1 Time of concentration in idealized system as a function of number of segments Number of 2 Ay Ax E Segments i oe a Ax An JS fe Lite 0 0 0 0 1 1 0 1 0 1 0 1 0 1 0 1 0 0 0 0 5 0 5 0 707 2 0 5 0 25 1 115 1 5 0 5 0 408 1 0 1 0 0 0 0 0 0 333 0 333 0 577 0 333 0 111 3 1 0 0 333 0 333 1 146 0 667 0 444 2 0 0 333 0 236 1 0 1 0 Clearly as the number of segments increases the estimated 7 increases Note that from equation 5 the analytical limit to the tc for an infinite number of segments would be J2 C 50 CR WR PrePro Using the Velocity Segment Generator TH 20 Interface Graphics
96. edictions Using GAMe to Predict MCD housing and job related footprints GAMe is a model consisting of both statistical equations and mathematical models which assigns county scale forecasts of people and jobs to the MCD s within that county GAMe was originally developed for use by the New Jersey State Planning Commission to test various policy ideas Subsequently GAMe was adopted for use by Rutgers University to assess the original New Jersey State Plan and all subsequent revisions to that plan The principal algorithms in GAMe have been published in leading academic journals Many of the statistical impact models have also been published As used in this study only the growth allocation portion of GAMe was used as described in the following paragraphs GAMe s first task is to convert county forecasts of population exogenous to the model into an estimate of housing and to estimate the number of new housing units which must be built by the forecast year in the each study area County to accommodate the forecasted population GAMe uses a Headship model to make this population to housing conversion GAMe then assigns the total housing in the County to each MCD in the County using a mathematical model To calculate MCD employment GAMe uses two more statistical models the first calculates the miles of local roadway in each MCD and the second uses road density derived from total miles as well as the forecasted MCD housing to produce MCD j
97. em your machine is running e Windows XP or earlier use http 129 2 71 200 umd edu Citrix MetaFrame ICAWEB en ica32 ica32t exe e Windows Vista use http 129 2 71 200 umd edu Citrix MetaFrame ICAWEB en ica32 XenAppHosted msi There s also a link to these plug in programs at http www gishydro umd edu web htm Step 3 Install Plug in Once you have downloaded the plug in double click on its filename or icon and install You should receive the following prompt window at the initiation of the installation MetaFrame Presentation Server Web Client for Win32 2 This will install MetaFrame Presentation Server Web Client for Win32 Do you wish to continue Click on the Yes window and accept all the subsequent installation wizard boxes to complete the installation Step 4 Set Security in Internet Explorer Fle Edt View Favorites Tools ME Qe O Pl Ol Da teem OO a g3 It is recommended to indicate to mespren SY your computer that the server that is Sco I oS a a Ti Se Se SE supporting the GISHydro2000 program is ols trusted site To do this in internet Fst cantent zone to spect ts senariy seins explorer select Tools Internet Options a oO 2 ea es Click on the Security tab and then click Trusted ses oe Q N ene on the Trusted Sites Icon Then click on feor a e eaa a E Come ke the Sites button In the window to the omom E left of the Add button
98. emporary directory is provided in Step 2 below 52 CITRIX server application is requesting access to your local client files What access do you want to grant C No Access C Read ee r Do you want to be asked again f Always ask me Never ask me again for this server C Never ask me again OK Step 2 Copying files between the GISHydro server and your local machine When working with the webserver you may naturally wish to upload files from your local machine to the webserver or to download files created by GISHydro on the server down to your local machine These two activities are described in this step a Preparing for upload or download understanding what you see In Step 1 above you were able to launch a version of Windows Explorer Let s first look at the application window P moglen on CEMOGLEN loj x File Edit View Favorites Tools Help ae 9 Back F PL Search Folders C Address moglen on CEMOGLEN J B Ge Total Size Free Space C System Tasks x Hard Disk Drives View system information me System C Local Disk 11 9GB 1 72 GB T Add or remove programs s Data E Local Disk 56 3 GB 22 5 GB G Change a setting s NewData F 68 3 GB 63 7 GB Devices with Removable Storage Other Places a 3 CD Drive D CD Drive My Network Places B My Documents Network Drives i Control Panel SS on Clien
99. epths have been created specified the TR 20 model can be setup for execution Open the TR 20 control panel from the TR 20 Interface Menu Select a name and location for the TR 20 input file to be generated and also for the output file that TR 20 will create Use either the workshop working directory or the c temp folder as shown below Enter the optional Job and Title header information which will be written into the TR 20 input file 2 GISHydro2000 TR 20 Control Panel TR 20 Input Output File Locations Input File c temp tr20in dat Choose D Output File c temp tr2Uout dat J ob and Title Information Job f GISHydro2000 Workshop Title l Northwest Branch Watershed Standard Control Duput Options l M Apply Output Options Only to Watershed Oultet M Peak Discharge Elevation Save hydrograph to file I Hydrograph T Volume M Summary Table Executive Control Options J7 Main Time Increment for hrs Starting Time 0 0 hrs Compute Sequence All Fron To 4 Rainfall Storm Depth s 100r 1 2 hr 7 00 in ARC 2 100 yr 24 hr 8 47 in 200 yr B hr 613 R xl MV Perform Areal Reduction Edit Storm Depth s OK Cancel C 64 Standard Control Output Options The Standard Control Output options allow the user to specify which data are reported for each watershed element e g subwatershed outlet or reach If only the overall watershed outlet discharge and volume a
100. equiringTMDLs _StressorsAndSources pdf DE waterquality KENT 2005 factsheet pdf DE waterquality NEWCASTLE 2005 factsheet pdf DE waterquality SUSSEX 2005 factsheet pdf DE WaterSupply KENT 2005 Projections factsheet pdf DE WaterSupply NEWCASTLE 2005 Projections factsheet pdf eoeeeeeerweweeee ee ee we ee eee ele 8 DE WaterSupply SUSSEX 2005 Projections factsheet pdf DE Transportation DE General Transportation DE transportation KENT Projections 2005 factsheet pdf DE_transportation NEWCASTLE Projections_2005_factsheet pdf DE transportation SUSSEX Projections 2005 _factsheet pdf e e e DE transportation Statewide Projections 2005 _factsheet pdf e DE_Expressways in Delaware pdf Return to Data Contents List DE DelDOT e DelIDOT CorridorCapacityPresvProject_Manual pdf DE DelDOT Budget and Finance e DE DelDOT BudgetFY2009_11 08 07_TrendDataOnPopulation pdf e DE Financial Plan FY 2006 FY 2011 12 21 05 pdf e DE Govs Transportation n Funding Report_final_2005 pdf DE DelDOT Capital Planning Projects and Fiscal Year Capital Plans e DE 2005 deldot fact book StatePoliciesPlanningSection pdf e DE DelDOT 2008 CurrentProjects hotlink index pdf See links within document too DE Capital Transportation Program FY2004 F Y 2009 N FY 2004 2009 CTP Secretary pdf 6yr financial plan 04 09 final pdf 6 yr_project_list 04 09 final pdf le
101. erage flow velocity in the current segment in ft s e I Time the travel time of the current flow segment in hours e Tot_ Time the total running time from the upstream end of the overall flow path to the bottom of the current segment in hours Let s now consider performing more controlled merges We note that the Quick Merge demonstrated earlier produced if anything too small of an estimate of the overall tfe value Let s imagine that our goal is to generate longest flow path segments such that e There is one 1 overland flow segment e There is one 1 swale flow segment e There are three 3 channel segments of roughly equal length There is no undo tool for generating longest flow path segments We can however reset the longest flow path to the original condition of each pixel representing a unique segment This is done by again choosing the Select Sub Area tool and selecting the area for whi m sub area for which we want 2 N A a to revise the f estimate The Velocity Segment Recalculate Te Select Sub Area Generator dialog will again ARPAS Velocity Method Statistics ae as it did in ee Create Update Segment SubAres o s a first step to obtain the Quick Merge x Overall Tc hrs 38 057 one overland flow and one I Single Overland tr swale flow segment we M Single Swale Pronat To hea 0 174 will choose the Quick Singe Channa Swale Te hrs
102. erview_2006 2008 pdf DE KENT ComprehensivePlan 2007 To 2030 TransHousingPopAgPreservationEtc pdf DE KentCo ComprehensivePlan2002 Chapter pdf DE NEWCASTLE CountyComprehensivePlan_ 2006 Update pdf DE _Notes_DelDOTPublicMeetings rtf DE Projections DEMOGRAPHICS KENT 2006 doc DE Projections DEMOGRAPHICS NEWCASTLE 2006 doc DE Projections DEMOGRAPHICS Statewide _2006 doc DE Projections DEMOGRAPHICS SUSSEX 2006 doc DE ProjectionsEconomy KENT 2006 doc DE ProjectionsEconomy NEWCASTLE 2006 doc DE ProjectionsEconomy Statewide 2006 doc DE ProjectionsEconomy SUSSEX 2006 doc DE_workforcelabor_Workshed_CommuterPatterns_2006 2008 pdf Return to Data Contents List DE News and Commentary on Development 2008 01 31 DelDOT_ProjectsOnHold_Graphic jpg 2008 01 31 DelIDOT ProjectsOnHold_ Story pdf 2008 02 01 DelDOT PutsProjectsOnHold_ 20projectsshelved pdf file C Users Glen AppData Local Temp contents html 2008 02 05 delawareonline The News Journal Wilmington Del Plan for U S 113 bypass near Milford dropped pdf DE Sewage and Water DE _ 2003 LongTermWastewaterTreatmentPlanning pdf DE _DoverCity 2003 Fitch Rates Dover DE s 7 96MM Water amp Sewer Revs CapacitiesTrends pdf DE _KentCo_Sewer_RES2796 2797 SEWER RITALYNNPROPERTY 042407_000 doc DE _NewCastleCo_2007_ Budget Sewer_etc_transmittalletterpdf smaller pdf DE Sewage KENT Expansion 2008 RES2893 HARVEYPROPERTY do
103. es and is the main tool used to simulate trend and the alternatives futures identified in this study SLEUTH is a cellular automata CA model and produces GIS raster images of growth probabilities assigned to 30 meter square grids So SLEUTH takes municipal scale trend and alternative growth forecasts numbers produced by GAMe and produces fine scale GIS maps of where growth would be likely to occur in each municipality The resulting GIS maps are embedded into GISHydro a web enabled freeware GIS application which is the only program DelMarVa citizens will need to use With GlSHydro local planners and other interested stakeholders are able to view how trend and the various alternative scenarios will likely develop in their town and the Peninsula as a whole Users can also use the functionality in GISHydro to assess selected hydrologic and water quantity and water quality impacts of any scenario Users can use GISHydro to simulate BMP s This allows users to iterate among various BMP alternatives arriving at a preferred land development BMP pattern preferably one that mitigates adverse impacts on the streams and rivers flowing into the Bay Definition of the Study Area We illustrate the study area for this research project in the following graphic While there are no political boundaries defining the northern boundary of the DelMarVa peninsula it is generally accepted that only part of Maryland s Cecil County is included However for this
104. etz et al 2004 Roberts et al 2009 Najjar et al 2010 The results for change in peak flows reflect the relationship between more development and imperviousness elevating the composite curve number and reducing times of concentration leading to larger peak flows As shown in Figure 15 the magnitudes of change for the 2 year 24 hour peak flows were found to vary from 2 to 9 percent for the Wicomico watersheds depending on the watershed scale and the growth scenario involved Among the growth scenarios examined flood peaks were greatest for the higher GAMe growth rates and were slightly elevated for the resource scarcity planning trend scenario relative to the current trends scenario However the Bohemia watersheds showed the opposite effect with decreasing flows for the resource scarcity scenario relative to current trends since total urban land use decreased with increased land use policies that required clustered development in the Bohemia watersheds This reflects the idiosyncratic nature of the precise location of predicted new development relative to the location of the watersheds on which we chose to focus this study Our findings also show that the amount of change decreases with increasing design storm size as the 100 year 24 hour storm produced smaller percent changes in flow peaks than was the case for the 2 year event Similar to nutrient loading the smaller study watersheds were found to be more prone to peak flow increases because the
105. extraction process GISHydro2000 chooses as the default to subdivide the watershed at all stream confluence points As you might expect this would result in an extraordinarily large amount of subdivision It is therefore necessary to modify the stream network to a more simple representation For our purposes we wish to model the watershed with three main channel segments which will result in 5 sub watersheds and two routing reaches Select the L from the tool bar and click on a point somewhere near the upper right divide of the watershed You will see a single flow path delineated from the point you clicked on to the watershed outlet Note that this segment isn t necessarily the longest flow path in the watershed That path will be determined later Next choose a point near the northwest divide and click again Another flow path is traced to the outlet Finally choose the third main channel segment by clicking again near the divide of the southwest region of the watershed From the CRWR PrePro menu select Add Streams This option is necessary to incorporate the delineated stream in the stream network The following box appears Add new streams to extracted stream network Yes Use traced and threshold streams ECS No Use only traced streams Select NO to use only the single stream segment default option Important You must select the Add streams option before choosing Delineate Sub watersheds Otherwise th
106. forecasts We can also produce differing forecasts from the same county population forecast by altering group housing estimates the percentage of persons in each cohort or in one or more of the cohorts seasonal housing and vacancy One can also produce alternative headship rates which we think likely in the future In this study we produced different MCD level growth footprint forecasts by using the various public and private County scale population and employment forecasts previously identified in this report We also developed a set of headship rate alternatives which were used Finally we developed alternative estimates of housing and job related areal requirements We attempted to develop alternative headship cohorts and alternative seasonal housing estimates The literature on seasonal housing forecasting was reviewed and it was discovered that a model for this purpose has not been developed The best source of information on this topic was a monograph from the Harvard University Joint Center for Housing Studies which reported that seasonal housing need is associated with the number of persons in the age cohorts 45 to 64 However the scale of this association was not reported although the report implied that this relationship occurs at a very large regional scale We attempted to identify a relationship between this cohort and seasonal housing within a county without success Our guess is that there might be a predictive relationship at somethi
107. g te given the watershed size but note that the overall basin relief is only 22 6 feet Analysis may now move to the CRWR PrePro menu For direct comparison to the Watershed Statistics output this example will treat the basin as a single watershed We proceed through the CRWR PrePro menu by specifying only a Quadrangles Used east_new_market DEM Coverage NED DEMs Land Use Coverage 2002 MOP Landuse Soil Coverage SSURGO Sails Hydrologic Condition see Lookup Table Impose NHD stream Locations Yes Outlet Easting 490240 m MD Stateplane NAD 1983 Outlet Northing 94954 7 m MD Stateplane NAD 1983 Findings Eastern Coastal Plain Maryland 10 5 square miles Outlet Location Outlet State Drainage Area Eastern Coastal Plain 100 0 of area Channel Slope 5 4 feet mile Land Slope 0 009 ft ft Urban Area 6 5 Impervious Area 3 6 Time of Concentration 21 3 hours W 0 Thomas Jr Equation Time of Concentration 12 5 hours From SCS Lag Equation 1 67 Longest Flow Path 8 46 miles Basin Relief 22 6 feet Average CN 77 Forest Cover 33 3 Storage j Limestone 0 0 Soils 3 1 B Sails 525 C Soils 3 3 z D Soils 32 8 2 Year 24 hour Prec 3 39 inches Figure 1 Watershed Statistics dialog for example watershed analysis single stream within the overall watershed which has the effect of modeling the watershed as a single sub basin Again this is only for direct comparability between the t
108. gend of abbreviations 04 09 final pdf sw_expressways pgs 2 1 thru 2 5 pdf6 sw arterials pgs 2 6 thru 2 9 pdf sw_locals pgs 2 10 thru 2 13 pdf sw_ bridges pgs2 14 thru _2 20 pdf sw_other_pgs 2 22 thru_2 40 pdf sw_other pgs 2 41 thru 2 58 pdf sw_grants alloc pgs 2 59 thru _2 68 pdf sw_trans sys veh pgs 2 69 thru_2 75 pdf sw_trans sys amen pgs 2 76 thru 2 85 pdf sw_trans sys rail pgs 2 86 thru 2 92 pdf sw_sup_sys plan pgs 2 93 thru_2 96 pdf sw_sup_sys trans fac_pgs 2 97 thru_2 102 pdf sw_sup sys transit fac pgs 2 103 thru 2 106 pdf sw_sup sys tech pgs 2 107 thru 2 111 pdf sw_sup_sys equip pgs 2 112 thru_2 116 pdf sw_sup sys transp mgmt pgs 2 117 thru 2 122 pdf XO 00 Jr JB J NO J S JNO JO JN ID JN B JW J O 8 11 2011 9 55 A Sitemap AS of 11 21 sw sup sys eng cont pgs 2 123 thru 2 126 pdf 22 sw sup sys ezpass pgs 2 127 thru 2 130 pdf 23 ncc expressways pgs 3 1 thru 3 18 pdf 24 nec arterials pgs 3 19 thru_3 37 pdf 25 nce arterials pgs 3 38 thru 3 62 pdf 26_ne fe arterials pgs 3 63 thru_3 82 pdf 27_ncc_arterials pgs 3 83 thru_3 95 pdf 28 ncc arterials pgs 3 96 thru 3 105 pdf 29 ne te collectors pgs 3 106 thru 3 132 pdf 30_nce_locals_pgs 3 133 thru_3 145 pdf 31 nce locals pgs 3 146 thru 3 156 pdf 32 nec bridges pgs 3 157 thru 3 179 pdf 33 nec bridges pgs 3 180 thru 3 199 pdf 34
109. h the numbers will vary depending on the particular analysis you ve selected Z Current Nutrient Loads Ea Nitrogen 491 6 tons pr Phosphorus 12 2 tons pr loadings of nitrogen phosphorus Total Sediment 9042 6 tons yr The dialog shows the aggregate and sediment across the entire set of polygons examined Click the OK button to proceed After you click the OK button GISHydro will write the text file you indicated above This file will give specific information about nutrient sediment loads broken down by polygon and CBPO land use type We will examine this text file in the next exercise Potential next exercises Exercises 3 and 6 Exercise 3 Tabular Analysis of the CBPO GISHydro Nutrient Loading Output File Starting Point Exercises 1 and 2 complete This exercise demonstrates how you can use Microsoft Excel to import the output file from Exercise 2 Once you ve imported the file you can use all the tools in Excel to compare numbers or prepare graphs and tables Helpful Hint The GlSHydro webserver login page will automatically log the user out after a short amount of idle time There are two ways of dealing with issue 1 Simply log back into the webserver and launch windows explorer application 2 copies on the webserver so you can download the output file from Exercise 2 to your local machine At the time of originally logging into the server in addition to launching GISHydr
110. he GlSHydro tool automatically creates and ID field in the attribute table for the polygon shapefile shown at right You can simply use this file as input to the GlSHydro nutrient loading tools To do this you must first place this shapefile in re the Maryland View Click on the subsheds shp shapefilein the legend area to make it the active theme Choose Edit Copy Themes In the project window shift to the Maryland View and then choose Edit Paste or simply Ctrl v to add the theme to the Maryland View Using the subsheds shp file as your input development file to the CBPO nutrient loading estimator tool go to Step 6 of Exercise 1a Continue from Step 6 to the end of Exercise 1a Exercise 2 Performing a Conventional Default Nutrient CBPO Nutrient Loading Analysis Starting Point Exercise 1 complete If using MDP land use Exercise 5 should be complete too 1 Using the endpoint from Exercise 1 choose CBPO Loading Calculate Current Load You will see a dialog box similar to the following Output Loading Report File x File Name Directories OK cbpo_ curent loading txi e temp liberty A Cancel E info Drives Je ________ Accept the contents of this dialog or change the file name as you wish The text file GISHydro will use will be examined in a subsequent exercise Click on the OK button You will then see a dialog such as the one shown below althoug
111. he Wicomico 4 watershed Figure 16 shows a nearly 4 1 unit decrease in sediment transport per unit increase in urban area These findings reflect a profound decrease in unit sediment loading rates between the predominantly high till agricultural land use present in the Wicomico 4 initial condition and the unit loading rates for urban land uses in the future condition To a lesser extent the 2 year 24 hour flood peaks increase in a greater than 1 1 proportion for Wicomico 4 development scenarios that have more limited projected new development i e less than 6 percent change in developed land Sensitivity as presented here indicates the magnitude and direction of change that can be anticipated in a hydrologic outcome as a function of land use change but this was already apparent from earlier analyses However this analysis is valuable because it is suggestive of how limited modeling and or data gathering resources might be spent most effectively The more sensitive a quantity is the more effort that should be spent to minimize uncertainties in the estimation of that quantity Results here suggest that having good estimates of relative sediment loading rates and to a lesser extent curve number estimates is the most effective use of monitoring funds 43 GlSHydro User s Manual ArcView Tutorial This brief tutorial will provide an overview of the organization and basic use of ArcView To learn more it is strongly recommended that you obtain
112. he gishydro apr project C 28 Exercise I B Watershed Delineation and Modifying Land Use and Hydrologic Conditions In this exercise you will define the watershed outlet and delineate the extent of the Northwest Branch watershed You will then use interactive tools to modify the land use conditions for the area of interest Finally you will modify the hydrologic conditions for the study area Note This exercise will take a long time to complete Ata minimum complete Part One Task Delineate the watershed upstream of USGS Stream Gage No 01650500 near Randolph Road in Montgomery County Maryland Northwest Branch watershed The 2000 Maryland Office of Planning land use database indicates that a golf course in the northeast part of the watershed has low density residential land use conditions unlike similar golf courses located within the watershed Use GISHydro2000 to modify the land use and curve number data for this area to more appropriate hydrologic conditions Part One Delineate Watershed In Exercise I A we showed how to use the Query Builder to locate a feature within a particular theme Since we know that the outlet of the Northwest Branch watershed is located at USGS Stream Gage No 01650500 we can use this theme to find our outlet point Load USGS Gage Network To locate the gage we must add the USGS stream gage network to the current view Select the Add Theme option from the View Menu Use the file browser
113. hen obtained through addition We compared the results of our statistical method total acres of job related development to those developed using the MDP data set It is known that inherent in each approach there are problems The remote sensing data set we used with the statistical model has difficulty differentiating low density development when it occurs on lots thick with mature trees Therefore it tends to both under estimate development in low density wooded areas and to over estimate developed areas if the analysis incorrectly identifies treed areas as developed areas The MDP inventory is absolutely reflective of parcel size by zoning but likely is less reliable as in index of developed footprint For example if a business built a warehouse of 10 000 square feet on a 10 acre site should we consider all 10 acres as employment related development We were very pleased to discover that correlation of MCD specific job related acres between these very different methods was very good and produced an R Square of 86 We also found that where these methods differ they differ by a lot as illustrated in the following two charts produced during the Statistical testing We think these areas of large disagreement present places which emphasize the inherent problems of one or the other method Overall we were quite pleased with the results of our statistical model and deemed it suitable for use Normal P P Plot of Regression Standardized Residual Depe
114. his block presents the multiplicative BMP scaling factors based on the BMPs specified in Block 3 A scaling factor of 1 means there are no BMP reductions for this entry Each row corresponds to an individual polygon in the development file e Block 5e Phosphorus Loading Table with BMPs active in tons year This block is the counterpart to Block 5b except that now BMP effects are taken into account Each row in this block presents the loadings of phosphorus for each polygon in the development file This block is essentially the product of the land use presented in Block 2 the loading rates presented in Block 5a and the alpha and beta values presented in Blocks 5c and 5d e Block 6 Sediment Block 6a CALIBRATION VALUES LOADINGS Sediment Loading Rate Table in tons acre year This block presents the sediment loading rates by land use for each intersected CBPO co segment by the development file Each row corresponds to an individual co segment Block 6b Sediment Loading Table in tons year Each row in this block presents the unmitigated by BMPs loadings of sediment for each polygon in the development file This block is essentially the product of the land use presented in Block 2 and the loading rates presented in Block 6a Block 6c Sediment aggregate alpha BMP values This block presents the additive BMP scaling factors based on the BMPs specified in Block 3 A scaling factor of 1 means there are no BMP reductions for this entry Each
115. his metric reflected changes in the spatial pattern of growth Where growth patterns 17 continued as infill to previous growth the correlations were high Again backcasting results in Virginia were affected by the inconsistent data problem We also have included a table showing the exact results for Kent County so that readers can have a taste of real model results and compare them to the actual values Housing Allocation Backcasting Results RSq RSq A KENT DE 0 99 0 99 NEW CASTLE DE 0 76 0 19 SUSSEX DE 0 99 0 85 CAROLINE MD 0 97 0 03 CECIL MD 0 99 0 88 DORCHESTER MD 0 399 0 05 KENT MD 0293 0 57 QUEEN ANNES 0 99 0 98 SOMERSET MD 0 96 0 16 TALBOT MD 0 99 0 95 WICOMICO MD 0 99 0 56 WORCESTER MD 0 99 0 46 ACCOMACK VA 0 66 N A NORTHAMPTON 0 44 N A Sample of MCD Housing Prediction using Kent County Total Housing Change in Housing NAME GEO_IDTXT Census Model A Census A Model Central Kent 1000190444 6962 6 700 1375 1113 Dover 1000190740 26632 26 533 4508 4409 Felton 1000190888 2172 2 230 313 371 Harrington 1000191332 4110 4 228 585 703 Kenton 1000191480 1919 1 889 344 314 Milford North 1000192220 3910 4 103 489 682 Smyrna 1000193700 4776 4 798 775 797 Figure 10 Predicting year 2000 housing using housing change 1980 to 1990 18 Employment Backcast to predict year 2000 Jobs Sample of MCD Job Prediction using Kent Coun
116. ho head households In the O to 14 age group no one heads their own household thank goodness We then sum the number of heads of households for each cohort to produce the total households in the County In this case there are a total of 47 224 heads of households Next we look at the total dwelling units houses in the county there are 50 481 We then subtract seasonal vacation homes etc and vacant houses from the total In the displayed example we need no new houses since the number of residual existing houses total DUS minus seasonal and vacant was exactly equal to the 13 total number of householders This example demonstrates an important model assumption that for each head of a household there MUST be an occupied non seasonal dwelling unit 2000 2000 Household Population total pop grpqrts Population Cohort pop by cof HSR Hhse hhiders DU2000 seasonal vacant new DUS Needed 127085 3 630 123455 0to 14 0 228159 28167 0 0 47224 50 481 364 2893 0 15 to 24 0 145733 17991 0 153518 2762 25 to 34 0 135515 16730 0 504603 8442 35 to 44 0 162153 20019 0 559478 11200 45 to 54 0 124738 15400 0 585017 9009 55 to 64 0 08689 10727 0 604735 6487 65 to 74 0 066439 8202 0 657993 5397 75 0 050372 6219 0 631481 3927 123455 47224 Figure 6 Example of using Headship to convert population to housing This same model structure is used to forecast future houses We can produce differing housing forecasts using different county growth
117. html 44 ke arterials pages 4 6 thru 4 33 pdf 44 kc expressways pages 4 1 thru 4 5 pdf 44 ncc support sys trans fac pages 3 315 thru 3 328 pdf 45 ke arterials pages 4 34 thru 4 60 pdf 46 ke collectors pages 4 61 thru 4 76 pdf 47 kc_collectors pages 4 77 thru_4 89 pdf 48 kc locals pages 4 90 thru_4 97 pdf 49 ke bridges pages 4 98 thru 4 120 pdf 50 ke transit sys veh pages 4 121 thru 4 12 pdf 51_ke support sys pages 4 129 thru_4 132 pdf 52_sc_ arterials pages 5 1 thru 5 20 pdf 53 sc arterials pages 5 21 thru 5 40 pdf 54 sc collectors pages 5 41 thru 5 63 pdf 55 sc collectors pages 5 64 thru 5 82 pdf 56 sc locals pages 5 83 thru 5 94 pdf 57_sc_bridges_pages 5 95 thru_5 123 pdf 58_sc_bridges_pages 5 124 thru_5 143 pdf 59 sc transit sys veh pages 5 144 thru 5 15 pdf 60 sc supp sys transit facilities pages 5 151 pdf 61 alpha index of projects shtml Return to Data Contents List DE Capital Transportation Program FY2008 F Y 2013 e intro letter pdf e 2 FY2007_work_plan pdf e 3 helpful hints for reading the_chart pdf e 4 air _quality pdf e 5 cert plan pdf e 6 mstr statewide _ctp 043007 pdf e 7 mstr neccla _ctp pdf e 8 mstr_ncc2_ctp pdf e 9 _mstr_kent_ctp_backup pdf e 10 mstr _sussex_ctp_backup pdf e 11 ctp_list_of_projects_combined_index pdf DE Capital Transportation Program FY2008 F Y2013 NOTE Need to check how is different to above
118. in If you do not have a user account please contact Dr Glenn Moglen Message Center The Message Center displays any information or error messages that t You do not have the MetaFrame Presentation Server Client Plu installed on your system You must install the client to launch Log Off Select the icon below to install the client If you have not properly installed the plug in when you click on the GISHydro2000 icon you will instead see the dialog box shown at right If you get this dialog box go back and review Steps 2 and 3 and make sure that they were n Name launch ica done correctly and completely E y P y a Type Unknown File Type 1 14 KB From 129 2 102 175 Save Do you want to save this file While files from the Intemet can be useful some files can potentially ham your computer If you do not trust the source do not save this file What s the risk 51 File Management Basics for GISHydroweb Step 1 Providing Remote File Access Similar to Step 6 Getting and using a GlSHydroweb ET MetaFrame Presentation Server Microsoft Internet Explorer O x Ble Edt Vew Favortes Tools Hep Geax O d 2D sem Verne i L J a Address hitp 129 2 71 200 umd edu Citrx MetaFrame site defauit aspx Go Links 3 G Search D g GrOblocked M8 Check Autolink AutcFil fal Options account Click on the Windows Explo
119. ing and management decisions within a desired region Forecasted Land Use Change Each GAMe growth scenario coupled with a SLEUTH scenario created a unique urban growth pattern varying in spatial layout and magnitude To understand the effects of each of the nine combined scenarios the differences in predicted land use were examined These land uses or more importantly how these land uses changed from the initial land use conditions are the most telling indicators of how nutrient loadings will change They are also responsible for explaining changes in the composite watershed curve number and thus the changes in the peak discharges Figure 11 illustrates the amount that each land use has changed as a percentage of the initial land use conditions layer for the Wicomico 1 watershed In each of the four larger watersheds as is consistent with the remaining study watersheds impervious urban and pervious urban land use increased by approximately 15 to 33 percent while all other land uses agriculture and forest either decreased or remained unchanged The largest decreases were approximately 5 to 12 percent depending on the scenario H i Till Lo Till Pasture m Hay Non Ag Manure mpervious Urban Pervious Urban v amp o v amp k G i i Lets i o da U amp vu o v a Forest e Water Scenario Figure 11 Average Percent Change i
120. ities page _2 101 pdf e 18 sw_supt sys tech page 2 106 pdf e 19 sw supt sys equip page 2 111 pdf e 20 sw_supt sys transptn_mgmt impr page 2 116 pdf e 21 sw_supt sys eng cont page 2 122 pdf e e e e e e e e e e e e e e e e e e e e a a a a a a 22_sw_supt_sys ez pass reserve page 2 126 pdf 23 _sw_supt_sys aeroautics page 2 130 pdf 24 sw_supt_sys parking page _2 134 pdf 25_mnec_expressways_ pages 3 1 thru_3 26 pdf 26_ncc_arterials pages 3 27 thru_3 49 pdf 27_ncc_arterials pages _3 50_thru_3 71 pdf 28 _ncc_arterials pages 3 72_thru_3 93 pdf 29 ncc_arterials pages 3 94 thru_3 111 pdf 30 nce arterials pages 3 112 thru 3 125 pdf 31 nce collectors pages 3 126 thru_3 149 pdf 32_ncec_ locals pages 3 150 thru_3 168 pdf 33_ncec locals pages 3 169 thru_3 182 pdf 34 _ncc_bridges_pages_3 183_thru_3 193 pdf 35_ncc_bridges_pages 3 194 thru 3 213 pdf 36_ncc bridges pages 3 214 thru_3 224 pdf 37_nce _bridges_pages 3 225 thru_3 247 pdf 38 ncc bridges pages 3 248 thru_3 262 pdf 39 ncc bridges pages 3 263_thru_3 287 pdf 40_ncc_other_pages 3 288 thru_3 291 pdf 41 nce transit sys pages 3 292 thru_3 314 pdf e 42 nce transit sys pages 3 292 thru _3 314 pdf e 43 ncc support sys trans fac_pages 3 315 thru_3 328 pdf a 8 11 2011 9 55 A Sitemap file C Users Glen AppData Local Temp contents
121. kinematic translation only will occur The raster stream and watershed themes are converted into new vector themes subrivs shp and subsheds shp respectively Future processing of the model will be based on these themes T Area of Interest Sandy_spring and others il subrivs shp i subsheds shp _ Subwatersheds _ Modified Outlets i Modified Streams _ Stream Links _ AddasStreams shp Y AW atershed 2 L Ne Data _ 2 yr Prec M MD Quads A MD Roads _ Curve Number _ Soils _ Land Use x C 45 Exercise II B Time of Concentration Determination After subdividing the watershed the next step is to assign a time of concentration to each sub watershed in the Northwest Branch watershed TR 20 uses the time of concentration in simulating the runoff hydrograph for each sub area GISHydro2000 includes an interactive tool to specify the method of calculation for Tc and to enter associated parameters such as lengths of sheet and channel flow Task Use the GISHydro2000 Time of Concentration Calculation dialog box to specify the time of concentration for each of the 5 sub areas in the Northwest Branch watershed Choose to specify parameters individually or to all sub areas at the same time Set the time of concentration parameters for the sub watersheds and generate the watershed schematic which forms the logical organization of the TR 20 input file Set Time of Concentration Parameters After delineati
122. l 215 585 215 Superstore 970 1023 970 Other 350 672 350 Sources 1 English Partnerships Employment Densities a simple guide September 2001 2 Employment Density Study Summary report Southern California Associations of Governments prepared by Natelson Company Inc October 31 2001 3 English Partnerships Employment Densities a full guide July 200 20 We note that all of the English space standards report higher employment densities than those reported in the California study We used these reports to develop our own table of employment for each of 5 types of job related generalized structures Of note we reduced the estimate of square footage per employee for retail based on the trend that an increasing percentage of purchasing is done on the Internet therefore the demand for space at the MCD level should decline We also used a conservative value for office to represent the increasing trend for employees to work at home and for office workers to use share office space Square feet per building type used in this study Industrial 500 Warehouse 800 Office 325 Retail 600 Other 600 We were fortunate to obtain very detailed MCD level employment information which identified at place employment by major classifications A sample of this data is displayed in the following table The top value TOT_00 is the total employment in this MCD in the year 2000 Each of the rows with follow are subsets of that total for each classification of e
123. libration step Owing to the structure of DEM data and its tendency to produce small slopes at a pixel based description of the longest flow path the engineer should pay especially close attention to small peak discharges produced by the TR 20 model Are these modeled discharges small because of t estimates that are much larger than those resulting from regression equations If the answer to this question is yes then the combining of pixel based segments into larger flow segments using the Velocity Method Segment Generator is probably indicated C 57 Exercise II B continued from page 47 Merging Velocity Method Segments We have identified five subwatersheds for the Northwest Branch Watershed For all subwatersheds we assume that the velocity method has been selected as the time of concentration calculation method The Calculate Attributes processing step under the CRWER PrePro should now be complete We will now use the Velocity Method Segment Generator to refine the flow paths for each subwatershed sub area Note If you chose to use the Velocity Method Tc estimation technique for only certain sub areas they you will need to apply this method for only the sub areas selected Part I Quick Merge As explained in the previous section the velocity method determines a travel time along the longest flow path for each pixel lying on that flow path The flow times for each pixel can be aggregated based on the classification of
124. limits to in fill development also shows a slight improvement in model performance i e compare B to C Areas in the northern MCDs of the DelMarVa for cases B and C show persistent underestimation of development Upon further investigation we found that these counties showed significant growth between 2000 and 2005 growth that was not captured in the population data used for calibration Because population data for 2005 our target year for calibration is not available at the MCD scale we had to utilize 2000 population density which created a temporal mismatch between the population and landcover data sets Forecasting Future Urban Development with SLEUTH Developing future land use policy scenarios After successfully calibrating the SLEUTH the next set of tasks related to the SLEUTH modeling work focused on forecasting and scenario development In conjunction with Moglen and Reilly a set of future land use policy narratives were developed 1 A current trends scenario that incorporates limited planning information 2 A planning trends scenario that incorporates generalized planning as reflected in the comprehensive plans for each county 3 Resource scarcity climate change scenario that reflects a greater emphasis on resource conservation and inundation due to expected sea level rise A narrative of these scenarios is summarized in Box 1 29 Box 1 Scenario narratives used in forecasting future urban land cover 1 Current trends
125. ll ask you to specify the contour interval Enter 20 meters and press OK A new theme is created Zoom in to the northern most routing reach indicated by the light green lines in the schematic diagram To draw a transect line select the Add Transects Tool from the toolbar and drag a line across the routing reach Note The transect line must cross the stream line the schematic line does not reflect the alignment of the stream The transect should be completely contained within the surrounding sub watershed i e don t extend past the sub watershed divide When a transect line is drawn the Cross Section Editor Dialog Box is displayed as shown below C 61 Cross Section Editor Reach No Transect Line Geometry Channel Geometry Transect Line Width 2783 21 ft Bankfull Channel Width 41 12 ft Maximum Elevation 349 50 ft Bankfull Channel Depth 2 98 ft Minimum Elevation 293 50 ft L Upstream Drainage Area 13 79 mi 2 Cross Section Rating Table Stage ft Discharge cfs End Area ft 2 Reach Characteristics 0 00 0 00 Reach Slope f 0 0032 ft ft 5 11 6 01 Bankfull Elevation 1232 500 ft 31 50 21 45 84 61 43 15 Roughness Characteristics 1 167 93 70 23 x Main Channel n Value 0 050 om a Calculate from GIS data Left Overbank n Value 0 100 C Load rating table from file Right Overbank n Value 0 100 Export Cross Section Plot Cross Section Facing Downstream OK Eons This dialog box allows the sample c
126. lling units in the MCD AreaSqMiles total land sq miles in the MCD Using this equation the number of job related acres in each MCD was estimated for 2001 as we used a 2001 land use land cover dataset of urbanized area We then divided the total MCD year 2000 employment by the total acres of job related land to estimate the number of jobs per job related acre in each MCD We compared the result of both methods and found them to be in general agreement We also tried to validate our employment density estimates by comparing our estimate of employment area produced by the statistical model to estimates of job related land produced by using the Maryland Department of Planning MDP land inventory coverages for those MCDs located within Maryland The MDP land use inventory relies on areas derived from parcel plot lines which were rubber sheeted made to visually associate with aerial imagery within a GIS These coverages were then unioned with zoning coverages to determine land use MDP s records also included the parcel size of each land plot which was taken from the County tax records as well as information about the value of improvements on the lots As a result of this improvement valuation developed lots could be differentiated from undeveloped or under developed parcels These associations enabled MDP to 22 identify all developed parcels with job related zoning in the State For each MCD in the study area the total job related area is t
127. loadings for the Bohemia watersheds Figure 14 Understanding this dichotomy of behavior requires a 39 more detailed look at the loading rates used to estimate nutrient runoff The key is to consider the initial land use that is being replaced by new development by year 2030 The relative amount of low till land replaced in comparison to the amount of high till land replaced controls whether the loading change is positive or negative Pervious urban land has loading rates that are smaller than high till land but larger than low till and forest land Since the majority of developed land is assigned to pervious urban land these loading rates have a larger effect on the overall urban phosphorus load When phosphorus loads are found to decrease in the 2030 predictions this is generally due to majority high till land being removed and replaced with pervious urban that the contributed phosphorus balance is negative When majority low till land is being replaced with pervious urban the contributed phosphorus balance is positive The above findings are supported by a recent study done by Roberts et al 2009 which predicts decreases in both phosphorus and nitrogen due to losses of agricultural land in the Chesapeake Bay by 2030 Other recent findings also conclude that agricultural lands are one of the greatest sources of annual nitrogen loads Shields et al 2008 and are the largest contributor to nitrogen and phosphorus loadings in the Chesapeake Bay Go
128. low path Segments are arranged in spatial order from the upstream end record 1 to the downstream end record m m 3 in Figure 6 Segments may vary according to flow type or there may be multiple segments within a single flow type The following is a description of the contents of the entries in this table e Shape This is a GIS concept Polyline means that this table entry literally contains the geographic information of where this segment of the longest flow path is in space e UpPixel This is the pixel number of the most upstream pixel in the indicated flow segment These numbers correspond directly to the Value field in the Longest Flow Path Sub x theme e SegName The segment name for the particular record in the table A leading O means pure overland flow M means mixed some overland and some swale S means swale and C means channel Segments are numbered consecutively from upstream to downstream so for instance C2 corresponds to the second channel segment immediately downstream from C1 e Type This is the type of flow Potential entries are Overland Mixed Swale and Channel e Downpixel This is the pixel number of the most downstream pixel in the indicated flow segment These numbers correspond directly to the Value field in the Longest Flow Path Sub x theme Notice that the downstream pixel from one segment is also the upstream pixel for
129. me of concentration methods may specify different reach routing characteristics etc The specifics of these choices and the procedures to make these choices are described fully in the documentation and exercises referenced in Exercise 1 especially e Exercise II A Introduction to TR 20 Modeling and Subdivision e Exercise II B Time of Concentration Determination e Exercise II C Calculating Routing Reach Cross Section Parameters e Exercise II D Creation and Execution of TR 20 Model That information will not be repeated here Instead presented in this example will be one such set of choices and a summary of the results The overall watershed was sub divided into three major upstream sub watersheds resulting in five overall sub areas for analysis as shown in the figure below 62 The table below summarizes the flood findings for both current and future land use conditions 2 year event 10 year event 100 year event Storm depth inches 3 45 5 38 9 29 Current CCAP 2005 land use conditions 661 1536 3006 discharge ft s Future Plan High land use conditions 687 1574 3045 discharge ft s Notice that although the flows increase here the increase in discharge is not quite as large from 2 to 4 percent but that all the discharges are considerably larger than their equivalent from the USGS regression equations There are several potential reasons for this e g the USGS discharges assume rural conditi
130. ment As part of initial efforts to loosely couple GAMe and SLEUTH we then began a series of iterative calibration procedures each of which incorporated additional information into the excluded layer including population density at the minor civil division scale Results from these subsequent calibration runs described below were compared against the initial calibration results based on the simple map of excluded lands so that improvements changes in the model performance could be detected The SLEUTH model was calibrated a total of three times each run after the initial calibration containing an adjustment to the excluded layer We were particularly interested in incorporating population data and addressing the tendency of the SLEUTH model to overestimate in fill development patterns To incorporate population data we derived population density for 2000 for minor civil divisions MCDs from U S Census data MCDs are the primary unit of analysis for the GAMe modeling and were thus adopted for the SLEUTH modeling to allow a linkage between the two models Based on the population density of each MCD weights were applied in the excluded layer to either attract or resist 27 development MCDs with higher population densities were weighted to attract development lower population densities were weighted to resist development Incorporating weighting based on population density improved the performance of the model Most of the over prediction er
131. ment File Choose the same settings as you did in Step 3 above The name future will be appended to the Output GIS file listed in the dialog just as current was appended in Step 3 8 Choose CBPO Loading Calculate Future Load The GIS will provide analogous output dialog and text files to those produced in Step 4 above The output text file will be discussed further below and is especially of interest in contrast to the current loading text file Example Continuing Nutrient Loading Analysis in Excel The text files created in Steps 4 and 8 of the nutrient loading analysis are tab delimited files that are easily and best imported into Excel for viewing and further analysis To do this Open Excel 9 Choose File Open and then use the browser window or text entry line to indicate the location of the text file created in Step 4 Start file import to import the current loadings file 10 A text import wizard will appear Simply click the Finish button to accept import parameter defaults and the file will import fine 11 Repeat Steps 9 and 10 for the file created in Step 8 to import the future loadings file Both imported files have 4 areas of general information From top to bottom these areas are e Area 1 Land cover and land use The detected land cover is shown first This land cover is created using the CCAP to CBPO land cover conversion rules set out in the Masters thesis of Suzanne Ciavola Using the
132. ment character of each MCD be preserved We started by estimating existing housing and job related development in each MCD Most of the methods employed for this work relied on GIS Land Use Land Cover information derived from LandSat remotely sensed data Job Density Alternative MCD job densities jobs per acres of developed land were estimated using two entirely different methods Our first approach termed the building type method associated detailed MCD level employment by type to published sq footage standards for various building types For example if we had 10 widget makers in an MCD who required generally a specific commercial building type due to the nature of their work and we knew that the space standard for that building type was 300 sq feet of built space per employee then our estimate of built space for all widget makers in that MCD would be 3000 sq feet What made our employment building footprints different was the unique mix of employment in each MCD We developed the building type method by collecting several published space studies which reported the average square footage per employee several types of job related building types A summary of these reports is displayed in the following table Employment per Square Foot of space by Building type Sq Feet of Built space per employee 1 2 3 Industry 340 924 365 Warehouse General 540 540 High rack 860 1225 860 Office 205 Low rise 466 205 High Rise 300 Retail Loca
133. mployment So for example the table shows that there were 359 construction jobs and 46 manufacturing jobs etc MCD Level Employment data for year 2000 TOT_00 1759 NR_00 62 CON_00 359 MAN_0O 46 WHL_00 10 RET_00 150 TRANS_00 154 INF_00 19 FIN_00 92 PRO_00 159 EDU_00 455 ART_00 29 OTH_00 67 ADM_00 163 MIL_00 0 We then associated each of the employment types to one of the five building types as shown in the following table We also increased the building space for each type by a factor we termed AFR area of impervious surface compared to the floor area used by employees AFR increased the built area to account for parking and access roads 21 Employment Building type AFR assumptions used in this report Employment Building Type AFR NR_0O office 1 4 CON_00 Warehouse 1 42 MAN_0O Industrial 1 35 WHL_0O Warehouse 1 42 RET_00 Retail 1 59 TRANS_00 office 1 4 INF_00 office 1 4 FIN_0O office 1 4 PRO_00 office 1 4 EDU_00 office 1 4 ART_00 office 1 4 OTH_00 office 1 4 ADM_00 office 1 4 MIL_00 0 Since employment varied by MCD both the statistical method and the building type method produced unique values for each MCD Our second method relied on a statistical model which predicts the percentage of urbanized area which is job related in each MCD The equation is LN JobArea 78818 LN TDUS AreaSqMiles 7 9301 where LN JobArea natural log of the percentage of the total urban area in each MCD TDUS total dwe
134. n Land Use from the Initial Conditions for Wicomico 1 Figure 11 shows how the GAMe low linear and high rates have the strongest influence on amount of land use change from initial conditions Percent change in smaller 36 nested watersheds could be greater than shown in Figure 13 owing to the greater impact a unit of development would impart on a watershed with smaller area Forecasted Loadings and Peak Flow Changes We now examine the effect of forecasted land use change on the resulting nutrient loads and peak flows These results are focused on the amount of change in each predicted value in comparison to the estimated values for the initial 2005 land use conditions As was the case for forecasted land use larger percent changes were modeled in the smaller watersheds e g Wicomico 4 exhibits a larger percent change in hydrologic behavior Smaller watersheds are more sensitive to changes in land use and the resulting change in nutrient loads in flood peaks Representative values from the base linear growth scenario for all loads and flood peaks are provided in the table below Base Linear growth scenario loads and flood peaks for the Wicomico watersheds Watershed Watershed Sediment Phosphorus Nitrogen Q2 Qioo rea Name ken kg yr kg yr kg yr m s m s Wicomico 1 250 6 100 000 40 600 297 000 45 229 Wicomico 2 82 2 170 000 13 400 99 600 20 101 Wicomico 3 12 262 000 2 010 14 700 4
135. nd consider the runoff generated by the small subarea near the outlet Answer the following questions e How does the volume of runoff compare with the other subareas The peak flow Peak time e What is the effect of the reach routing in the last reach before the outlet Does significant attenuation in the peak flow occur C 66 Exercise 1a Initiating a Nutrient Loading Analysis in GISHydro Starting from an Existing Polygon Shapefile Starting Point You have GISHydro installed or access via the GISHydro web server and you have the Maryland 12 digit watershed polygon theme loaded into the view 1 Load in appropriate polygon theme e g Md12digit18may2005 shp This theme contains the 12 digit watershed polygon boundaries covering the entire State of Maryland 2 Since we don t want to do an analysis of the entire state let s select just a few 12 digit watersheds to focus on for instance those polygons that comprise the Liberty Reservoir watershed 8 digit code 02130907 Click on the Query Builder icon looks like a hammer and then create the following query Attributes of Md12digit 18may2005 shp Mde8diat Gunpowder Falls whole i IV Update Values Add To Set Select From Set Click on the New Set button and you will select all polygons that satisfy Mde8name Liberty Reservoir 3 You should find that 17 polygons satisfy the query described above and are shown mapped
136. ndent Variable Sq ft by type acres 1 0 084 Expected Cum Prob T T T T 00 02 04 o6 o8 10 Observed Cum Prob Housing Density Scatterplot Dependent Variable Sq ft by type acres o i o gt n Value o t o 8 o o o o Regression Standardized Predicted T T 4 2 0 2 4 6 Regression Standardized Residual Now confident that our employment area estimates were useful we developed our estimate of residential density from this value We simply subtracted total MCD specific job related area from the total urbanized area to produce our estimate of housing related area We then divided the total housing related area by the MCD s total houses derived from census data Results We produced various sets of MCD forecasts of growth and footprint requirement The following table displays the alternative projections for 2010 2020 and 2030 County Growth Projection Headship Alternative State Level Derived from Woods amp Poole forecasts State Level Woods amp Poole plus 5 after 2015 State Level Woods amp Poole minus 5 after 2015 Woods amp Poole Derived from Woods amp Poole forecasts Woods amp Poole Woods amp Poole plus 5 after 2015 Woods amp Poole Woods amp Poole minus 5 after 2015 23 From these forecasts we chose a high forecast a low forecast and Medium forecast to be incorporated in the Sleuth Modeling We also
137. nec bridges pgs 3 200 thru 3 214 pdf 35 nec bridges pgs 3 215 thru 3 241 pdf 36_ncec_bridges_ pgs 3 242 thru_3 263 pdf 37_ncec bridges pgs 3 264 thru _3 285 pdf 38 ne te transit sys pgs 3 286 thru 3 305 pdf 39 nec support sys pgs 3 206 thru 3 318 pd 40_ke expressways arterials pgs 4 1 thru _4 25 pdf 41 ke arterials pgs 4 26 thru 4 51 pdf 42 ke collectors pgs 4 52 thru 4 68 pdf 43 ke collectors pgs 4 69 thru 4 80 pdf 44 ke locals pgs 4 81 thru_4 88 pdf 45 ke bridges pgs 4 89 thru 4 108 pdf 46 ke transit sys veh pgs 4 109 thru 4 116 pdf arterials pgs 5 1 thru _5 21 pdf arterials pgs 5 22 thru 5 40 pdf collectors pgs 5 41 thru 5 61 pdf collectors_pgs_5 62_thru_5 79 pdf locals pgs 5 80_thru_5 95 pdf Nn w na re bridges pgs 5 96 thru _5 120 pdf bridges pgs 5 121 thru 5 140 pdf transit sys veh pgs 5 141 thru_5 147 pdf support sys transit facil pgs 5 148 thru 5 151 pdf 57_appendixAProjectlist pdf 58 appendixb statepavingprgrm pdf 59 appendixc fundingsummary pdf 60_appendixd FedHighwayAdminPlannedObligations pdf 61 appendixe FedTransitAgencyPlannedObligations pdf 62_appendixf AirQualityConformity pdf 63_appendixg CertOfPlanningProcess pdf 64 appendixh AlphabeticallndexOfProjects pdf Return to Data Contents List DE Capital Transportation Program FY2005 F Y2010 DE_CapTr
138. ng approaching SMSA scale but we still had no method to allocate this demand to specific locations Further we did not feel comfortable simply increasing seasonal housing with population given the very location specific nature of this specialty housing Therefore we held seasonal housing to the year 2000 number for all simulations This likely produces an underestimation of future seasonal housing and a resulting understatement of the development footprint Likewise we felt very uncomfortable producing group housing or vacancy alternatives One could easily produce some mechanical difference say plus some amount added to the year 2000 value but we felt we could not justify this change Vacancy can be the result of economics rather than policy Group housing is affected by income and health In the absence of a more complete econometric model we elected to use year 2000 values in all simulations Household Projections in Retrospect and Prospect Lessons Learned and Applied to New 2005 2025 Projections George S Masnick and Eric S Belsky July 2009 WO9 5 Joint Center for Housing Studies Harvard University 14 Cohort and headship rates used in this study were derived from the Woods and Poole forecast data and they reflect county specific differences based on the year 2000 population in each county Of note migration of Hispanic persons has not been substantial in the study area with the exception of New Castle County DE where very moderate g
139. ng the sub watersheds in the previous exercise we must now set the travel time for each of the 5 sub watersheds Open the Time of Concentration Calculator by selecting the Set Tc Parameters option on the CRWR PrePro menu The dialog box shown below will appear Time of Concentration Calculation Select Method C SCS Lag Formula Hydrology Panel Tc Method Channel Flow Use NHD Streams C Uselnfered Streams Source Area mi2 0 0896752 Sheet Flow Shallow Flow S 0 05 for Channel Width E C Paved Coef 14 78 Exp 0 39 1 18 P lin 32 Channel Depth Coef Exp 0 34 Unpaved Channel Area Lift 700 Coet 1742 Exp 073 Apply To ALL Sub Areas C ONLY Selected Sub Areas Cancel Set Close C 46 The user may select one of three methods to calculate Tc the SCS Lag Formula the MD Hydrology Panel Tc method or the velocity method The selected method can be applied to each sub watershed individually or to all sub watersheds at the same time To set Tc parameters for individual sub watersheds the user must first select a sub watershed polygon using the ArcView select feature tool Clicking the Set button in the above dialog will then apply the selected method and parameters only to that sub watershed Note that a Tc method must be chosen for 447 other Sub watersheds individually if one is entered in this manner Once a method has been set for all sub watersheds press the clo
140. notice that the visibility box is checked on for MD Counties which indicates to ArcView that this information should be displayed within the View window You should also notice that the activity box of Land Use is popped up relative to MD Counties This means that Land Use is the active theme even though it is not visible Many of the functions of ArcView are designed to work only on the active theme s To make a theme active simply click anywhere within the legend box occupied by the theme You should see that it seems to pop up relative to the other themes If you want more than one theme active at a time hold down the shift button and click on all the theme legends you want to have active It is easy to mistakenly think that the displayed theme is the active one As this example illustrates this is not necessarily the case Activity and visibility are two different properties of a theme Navigating within the View Window ArcView provides a number of buttons and tools to move around within the View window and inspect the data At right the top row of icons are buttons which allow you to easily zoom and pan the extent of the view window that you want to see The second Ez Ezi row of icons are tools that require some additional input from you to make the view window zoom or pan as you desire From left to right the top row of buttons work as follows e Zoom to the Extent of All Data This
141. ntify tool then click on the pixel or item you want to know more about A dialogue box will appear providing information on the selected pixel or item Note that image data like areal photos have no underlying information to be shared via the identify tool The Label Tool When trying to orient yourself within GISHydro you may find it helpful to use the provided road network theme By first selecting the Label tool and then clicking on any road in the vicinity of the desired watershed outlet ArcView will label that road with a recognizable 47 name such as I 495 MD 193 etc This should help you feel very confident of your whereabouts when trying to find a specific location The Table Window As stated earlier tables are an integral part of GIS operations To look at the table associated with any theme in the View window you should make that theme active popped up then select Theme Table from the menu list You should be able to look at the tables associated with any feature theme and many grid themes Grid themes of continuous data may not have viewable tables because they would simply have too many entries The Layout Window We will not discuss layouts at length here We strongly suggest you consult additional tutorials or other documentation to learn more about the layout facility You will want to use this facility for the creation of finalized maps associated with your GIS work To quickly generate a print ready
142. o also launch windows explorer application 2 copies on the webserver so you can download the output file from Exercise 2 to your local machine Please see the tutorial File Management Basics for GISHydroweb if you need help downloading the output file from Exercise 2 1 Open Excel on your local machine In Excel choose File Open and navigate to the text file you output in Exercise 2 Note that you will need to make Excel list files of type txt in order for the file cbpo_current_loading txt to appear in the browser Once it does select this file and click on the Open button The file import wizard will appear Simply click on the Finish button You should now see be able to view the text file you created in Exercise 2 loaded into Excel The text file breaks into 6 blocks with 5 sub blocks each for Nitrogen Phosphorus and Sediment e Block 1 Distribution of Underlying Land Cover areas in acres This block presents the detected land cover data from the CBPO land cover GIS data Each row corresponds to an individual polygon in the development file A small key appears just below this block to define the land cover codes e Block 2 Distribution of Underlying Land Use areas in acres This block presents the inferred land use using CBPO rules to convert land cover to land use Each row corresponds to an individual polygon in the development file Block 3 Specified BMPs for cur
143. o links that section remains incomplete at this time Use the Return to Data Contents List links found throughout the page to return to the Table of Contents section General Research Work on Land preservation sewage and development infrastructure theory urban planning etc Federal Components Delaware o Contacts o GIS o Land Use and Preservation o News and Commentary o Planning and Projections o Sewage and Water o Transportation Maryland o Contacts o GIS o Land Use and Preservation o News and Commentary o Planning and Projections o Sewage and Water o Transportation Virginia o Contacts o GIS o Land Use and Preservation o Planning and Projections o Sewage and Water o Transportation Research on Growth Planning Forecasting Infrastructure and Development Theories Impacts etc e GROWTH AMPO 2006 ImplementingSmartGrowthPlanning pdf e GROWTH ELI 1999 SmartGrowth 1999 NewDevelopments pdf e GROWTH ELI 2000 SmartGrowthMD EasternShore pdf e GROWTH EPA best PracticesSmartGrowth DevPrimer pdf e GROWTH HAAS 2006 HousingTransportationTradeoffs pdf e GROWTH _ LARSEN 2001 ComparingMethods_ImpactsBrownfieldsInfillDev pdf e LAND AMER FARMLAND TRUST PRES 2006 AgricEasements pdf e LAND AMER FARMLAND TRUST PRES 2006 NationalEasementProjects pdf e e LAND GREEN INFRASTUCTURE 2007 BaltoCo ForestryPreserv pdf PLANNING DE_ 1999 DoverKentPublicParticipationModel pdf 8
144. obs Both the MCD housing estimate and the MCD job estimate are controlled so that the total of all predicted MCD based jobs or MCD based houses agree with the total exogenous County forecast This agreement is accomplished by using a simple percentage formula Finally GAMe converts housing and jobs into an estimate of square feet of space termed development footprint which is likely to result from this growth forecast Using GIS information about the actual available supply of buildable land in the MCD GAMe determines if there is enough of this available land to accommodate the development footprint If not the model re allocates excess growth to the other MCD s in the County The study objective was to use GAMe s demographically rich headship methods to produce alternative forecasts of housing Another objective was to use GAMe s relatively accuracy allocation models to produce land consumption forecasts which would inform the SLEUTH model The full GAMe model also includes a variety of environmental social and fiscal impact models which enables the user to assess the benefits and disadvantages of any growth scenario 3 Reilly J 1997a A method of assigning population and a progress report on the use of a spatial simulation model Environment and Planning B Planning amp Design 24 5 725 739 Reilly J 1997b A methodology to assign regional employment to municipalities Computers Environment and Urban Systems 21 6
145. observed the following 1 Land availability not an issue all MCD growth assignment were accommodated into their respective MCD Growth through 2030 will not be impacted by land availability 2 Nota lot of change going on Compared to existing development the anticipated total added development footprint in many MCDs is not a large percentage in the MCD s total area Methods for Generating Land use Land cover Forecasts for GISHydro using the SLEUTH Model Background on SLEUTH Model Methods The SLEUTH model is a well documented and widely used urban land cover change model Clarke Hoppen amp Gaydos 1997 Clarke et al 1997 Clarke amp Gaydos 1998 Jantz Goetz Donato amp Claggett 2010 Silva amp Clarke 2005 Its name is derived from the basic inputs to the model slope land use exclusion attraction urban land cover transportation and hillshade slope SLEUTH is essentially a pattern extrapolation model which simulates urban dynamics through the application of four growth types spontaneous new growth which simulates the random urbanization of land new spreading center growth or the establishment of new urban centers edge growth and road influenced growth Implementation of the model occurs in two general phases i calibration where historic growth patterns are simulated ii prediction where historic patterns of growth are projected into the future For calibration the model requires inputs of historic urb
146. on and best quality of soils data available We click on the 2 ArcView GIS 3 3 GISHydro2000 metric Eile Edt View Ihem Analysis CBPO Loading DNR Water Quality Surface CRWR BrePro TR 20 Interface Graphics Window He Apply button and after a few moments the Area of Interest view appears as shown at right The screen capture shows the watershed already delineated The precise outlet selected is at Outlet Easting 522777 m and AW atershed 4 No Data Ryt Pree fh vemaiva quads f MD Roads et a ewe EE A Hydro TAR ea Emi _ Filled DEM _ Flow Direction Flow Aco M Salsbury DRG _ Mdprow shp AD cnarcan we Scale 1 107 361 2 42 BA Outlet Northing 80891 5 m in the Maryland Stateplane coordinate system NAD 1983 58 The default landuse scenario at this moment is current corresponding to the CCAP 2005 conditions Let s calculate the Watershed Statistics according to this land use by choosing Hydro Basin Statistics After a few moments a dialog box will appear showing the watershed characteristics Those results are echoed below Data Selected Quadrangles Used hebron delmar pittsville DEM Coverage NED DEMs Land Use Coverage CCAP 2005 land cover Soil Coverage SSURGO Soils Hydrologic Condition see Lookup Table Impose NHD stream Locations Yes Outlet Eas
147. ons while this watershed is fairly urbanized the USGS equations are statistical rather than physical in concept etc The first User s Manual GISHydro2000 User s Manual cited in Exercise 1 provides the user with information and calibration guidance for reconciling the differences between regression equation and rainfall runoff based discharge estimates and we refer the reader to this source for a more complete discussion However precise mechanics for using the DelMarVa interface for arriving at these discharge values is important to present Careful management of the current or future land use condition is central to this process Those steps appear below Current Analysis 1 Choose CBPO Loading Set Current Future Land Use Condition Click on Current Land Use Click OK 2 Choose Hydro Basin Statistics An output dialog of watershed characteristics will appear Click OK A file browser dialog will appear Specify a unique descriptive name such as currentbasinstat txt Click OK 3 Choose the S tool from the GIS interface and indicate all streams for to guide subdivision 4 Choose CRWR PrePro Delineate Subwatersheds 5 Choose CRWR PrePro Set Tc Parameters Choose your time of concentration method and set any necessary parameters Click Set When all sub areas have a defined Tc method click Close 6 Choose CRWR PrePro Calculate Attributes 7 Choose
148. ool e p will need to be used once for each sub area otherwise the pixel based time of concentration determined simply from the Calculate Attributes menu choice will be used in writing the to the TR 20 input file Once the sub area has been selected the dialog box will update and will initially look as shown in Figure 3 The Velocity Method Segment Generator can be divided into a left and right side The left side is the input side while the right side is the output side On the left side the user can specify the merging of segments by individual pixel numbers lower part or the engineer can quickly merge all pixels of a particular flow type i e overland swale or channel into a single segment upper part Note that initially there is 1 pixel Channel Segments 390 Close Dialog Figure 3 The Velocity Method Segment Generator dialog shown after using the Select Sub Area tool to select the example watershed C 51 defining the overland flow part of the longest path 11 pixels defining the swale and 380 pixels defining the channel This amounts to 392 individual segments over which incremental s are summed to produce the overall estimate of the time of concentration As was shown in Table 1 as the number of increments segments defining the flow path are increased the tends to increase As a first 2 Velocity Method Segment Generator x step let s examine the sim
149. ow This is best done using the Layout document type which automates much of the necessary labeling orientation and scale issues associated with producing a proper map Scripts The script document type gives the user access to ArcView at a programming level It allows the user to automate repetitive tasks or perform complicated operations simply by clicking a button For example GlSHydro is actually a series of scripts linked together to allow a variety of specific actions by the user The View Window We will now discuss just a few of the most basic concepts within the ArcView View environment Active vs Visible Themes Shown at the right is an ArcView View window with two themes loaded into it The two themes are Land View dol x n LLA Use and MD MD Counties on i Counties as shown in Serre the legend portion en HO ai FA Brush of the window You J Commercial L Cropland EF Deciduous Forest GE Evergreen Forest C Feeding Operations will note that the legend entry for a _ High D ensity Residential J Industria i Institutional theme consists of AAAA 2 Low Density Residential three pa rts a L eaa O eN Restantit E E AT GE Mixed Forest visibility box an EM Open Urban Land L Orchards information content ee W ater box and very subtle simply the area occupied by the theme within the legend which we will call the activity box 45 You will
150. plest case Select Sub Area of a longest flow path with one Velocity Method Statistics overland flow Create Update Segment Sub Area fo segment one Roes Mag Overall Te hrs 11 476 swale segment and one channel segment This can V Single Overland IV Single Swale I Single Channel Overland Tc hrs 0 174 Swale Te hrs 0326 be quickly created by selecting each of the check boxes Channel Tc hrs 10 977 Nays see Soa Overland Segments 1 Upstream Pixel Oy Swale Segments E under the Quick Downstream Pixel Merge area and Channel Segments 7 then pressing the Recalculate Te 7 button The Hore Disg result is the updated dialog as Figure 4 The Velocity Method Segment Generator dialog after Quick shown in Figure 4 Merge ing all overland swale and channel pixels Notice now that there is only 1 segment each for each of the 3 flow types and that the overall te has been reduced to about 11 5 hours This is a huge reduction from the 38 5 hours originally calculated and is actually about hour less than the value determined using the SCS lag equation as shown in the Watershed Statistics dialog There are other elements that merit examination apart from just the segment generator dialog Let s examine the theme and associated table generated by this dialog As stated in documentation elsewhere selecting
151. pload dowload files to from this working directory Password as you create need them assword obtained p b ans If you do not have a user account please contact Dr Glenn Moglen at earlier in Step 1 agend adi Message Center The Message Center displays any information or error messages that may occur _ Intemet Now click the Log In button Step 6 Launching GISHydro2000 To launch MetaFrame Presentation Server Mozilla Firefox File Edit View History Bookmarks Tools Help the Maryland Sea Grant specific Ea CO a http 2 129 2 71 200 umd edu Citrix MetaFrame site default aspx aha L Most Visited Getting Started A Latest Headlines Customize Links Free Hotmail Windows Marketplace Windows Media Windo application of _ MetaFrame Presentation Server oa GlSHydro2000 simply click on the MD Sea Grant icon shown circled at right and this application should Driven to Excel a Administration mde Maryland Department of Transportation Welcome Welcome to the GISHydro2000 Web Version After logging in click on at left to open GISHydro2000 and initiate an analysis Pay close atter your working directory You can use the Windows Explorer icon to uph to from this working directory as you create need them start up You are e Delaware GISHydro20GH GISHydrao a w Notepad Windows Explorer now logged
152. rban loading rates so trading agricultural land for urban land tends to result in a reduction of nutrient loads The amount of this reduction depends on the scenario the extent and nature of the land use change and the relative difference in nutrient loading rates within the cosegments where the land use change is taking place The authors of this report have recently submitted a manuscript Ciavola et al 2011 for publication in the ASCE Journal of Hydrologic Engineering documenting this behavior A copy of this manuscript has already been provided to the Maryland Sea Grant office 68 Phosphorus and Sediment Loading Phosphorus and sediment loads are computed in the same manner as are the nitrogen loads For brevity only the current and future totals and difference are reported here Nitrogen loads are reported as well for completeness Summary of Nutrient Load Findings for Study Watershed Future Plan High Load Nutrient Current Load tons yr tong yr Difference tons yr Nitrogen 135 9 135 7 0 2 Phosphorus 12 4 12 5 0 1 Sediment 2203 8 2079 1 124 7 The summary table above shows an overall decrease in nitrogen and sediment loads and a slight increase in phosphorus loads While findings and magnitudes vary these results are typical of the 69 References Belsky E S Di Z X McCue D Multiple Home Ownership and the Income Elasticity of Housing Demand Joint Center for Housing Studies Harvard Univerisity O
153. re desired leave the Apply Output Options only to Watershed Outlet box checked and select any additional output values desired Un checking this box will report all selected options for each watershed element Set Simulation Parameters Executive Control The default time increment and staring time are recommended in most cases The compute sequence can be specified directly if only portions of a complex watershed are to be analyzed 1 e if a rainfall runoff simulation is desired for only a sub set of the overall model The rainfall parameters are typically based on the 24 hr storm for Maryland Use the rainfall depth corresponding to the 100 yr return frequency 8 47 inches Choosing Edit will allow the user to edit the rainfall depths associated with each return period storm on the list Finally the antecedent rainfall condition ARC can be specified Leave the default selected ARC 2 When all of the simulation parameters are set press ok The following Dialog appears indicating that the input file has been created TR 20 Interface Ed T Processing Complete TR 20 Input file written to c temp tr20in dat Execute the TR 20 Model To execute the TR 20 model for the current watershed select the Execute option from the TR 20 Interface Menu or simply press Cntrl E You will be asked some questions related to TR 20 logging These prompts have been carried over from the original program e Do you want an input lis
154. rent conditions This block presents all specified BMPs their BMP type land use to which they apply BMP area whether the BMP acts additively or multiplicatively and the nutrient reduction efficiencies for nitrogen phosphorus and sediment Each row corresponds to an individual BMP acting on an individual polygon in the development file This block is empty if Tributary Strategy loads are used or if no BMPs are specified Block 4 Block 5 Nitrogen Block 4a CALIBRATION VALUES LOADINGS Nitrogen Loading Rate Table in lbs acre year This block presents the nitrogen loading rates by land use for each intersected CBPO co segment by the development file Each row corresponds to an individual co segment Block 4b Nitrogen Loading Table in tons year Each row in this block presents the unmitigated by BMPs loadings of nitrogen for each polygon in the development file This block is essentially the product of the land use presented in Block 2 and the loading rates presented in Block 4a Block 4c Nitrogen aggregate alpha BMP values This block presents the additive BMP scaling factors based on the BMPs specified in Block 3 A scaling factor of 1 means there are no BMP reductions for this entry Each row corresponds to an individual polygon in the development file Block 4d Nitrogen aggregate beta BMP values This block presents the multiplicative BMP scaling factors based on the BMPs specified in Block 3 A scaling factor of
155. rer icon wae gt shown circled at right to launch the windows explorer en application This _ O y Windows Explorer will result in the shown dialog from the Citrix software You 7 State Highway to Excel gt M Administration of Tra R a mde s E Welcome Welcome to the GISHydro2000 Web Version After logging in click on the GISHydro2000 icon at left to open GISHydro2000 and initiate an analysis Pay close attention to the name of your working directory You can use the Windows Explorer icon to upload dowload files to from this working directory as you create need them If you do not have a user account please contact Dr Glenn Moglen at moglen umd edu Message Center The Message Center displays any information or error Es Done want to choose _ _ nema Full Access to the first question This will have the effect of mapping the drives on your local machine to the directory structure seen by the server The effect will be as if the local drives on your machine become available drives to the server GISHydro2000 will write all files during a given session to the e temp xxxxx directory of the server A number xxxxx is randomly assigned as the file name but you can modify it as you wish Thus using Windows Explorer will allow you to copy and move files to from the e temp xxxxx directory on the server to your local machine as desired More explanation on this t
156. res v g p 5 a 9 a v 5 3 z 1 410010005 84 3 167 3 3 9 6 6 0 2 256 74 4 25 1 12 9 0 2 410024045 163 464 3 5 12 1 0 2 207 115 2 5 1 1 0 3 420010005 91 5 181 6 4 2 7 1 0 212 80 7 136 80 1 0 4 420024045 2773 791 7 60 2 208 2 9 6149 1957 1992 1097 74 9 5 430024045 0 0 0 0 O 12 5 0 0 1 0 1 0 Totals 3111 1187 71 9 234 3 2 6835 2226 2156 1191 74 9 A casual assessment of these two tables reveals a general trend of losses of land in the agricultural uses and gains of land in the urban land uses With the data already in an Excel environment it is easy to quickly tabulate the exact values of these losses and gains as shown in the table below 66 Difference Future minus Current in Underlying Land use areas are in acres E v L g Be 3c ae o g6 3 g Z 8 8 FS a e 8 2 E0 55 5 3 1 410010005 4 2 8 3 0 2 0 4 0 2 3 3 7 13 6 5 2 0 2 410024045 0 0 0 0 0 0 7 0 0 7 0 0 3 420010005 11 9 23 8 0 5 0 9 0 6 5 10 5 41 2 13 1 0 4 420024045 286 6 81 9 6 3 21 5 0 3 521 9 202 1 924 5 196 3 0 5 5 430024045 0 0 0 0 0 0 0 0 0 0 Totals 302 7 113 9 6 9 22 7 0 3 531 3 216 4 980 2 214 5 0 5 Nitrogen Loading Turning now to nitrogen loading the loading rates coefficients are tabulated immediately below from the program output Nitrogen Loading Rates in Ibs acre year n 5 5 oe ee ee 2 v 5 5 n l sie g E 5 28 58 gg 04 a I a rg 2 a 5 E5 2 410010005 7
157. rors were associated with areas where SLEUTH was overestimating the amount of in fill that would occur within established urban centers We therefore incorporated a resistance to development Figure 4 in areas that were already highly developed reflecting the assumption that the predominantly rural municipalities on the DelMarVa would not experience intensive infill development Delmarva SLEUTH Excluded Map SLEUTH Excluded Value Hl o B 3 Hl E 50 J 53 E ss B co B so 0 510 20 30 40 C m m ee Niles L_ 100 North American Datum 1983 UTM 18 North Created by A J Beck Shippensburg Univ Figure 4 The final excluded attraction layer developed for the SLEUTH calibration for the DelMarVa which incorporates all land completely excluded from development in white as well as resistances and attractions based on population density and areas that are already highly developed Low values shown in green indicate areas of attraction for development high values shown in oranges indicate areas of resistance to development Results from the calibration runs performed are shown below in Figure 5 In these figures the amount of development in each MCD that was predicted for 2005 by SLEUTH is compared to the actual amount of development observed for 2005 in the C CAP map MCDs shown in gray are within 5 MCDs in pink and red indicate areas where SLEUTH overestimates development relative to the C CAP data MCDs in blue indic
158. ross section data to be edited in English units the rating table to be recalculated based on those edits and a 2 D plot of the sampled cross section to be displayed The cross section station and elevation data may be exported to a text file using the Export Cross Section button When you are satisfied with the cross section rating table click OK The table for each reach will be written to the TR 20 input file to be defined in the next exercise Repeat the transect drawing process for the remaining routing reach For watersheds with more subdivisions be sure that a transect line is drawn for each routing reach If you wish to change the transects simply delete the theme called AddAsTransects shp and begin again When finished there should be two transects drawn similar to those shown in the figure below As already mentioned the short routing reach between the confluence of the two main stream segments and the downstream gage will likely have little effect on the simulated runoff created by TR 20 To test this hypothesis compare the peak discharge and runoff volume at the confluence and at the outlet Is the change insignificant Routing is a flood wave attenuation process used to model the friction and storage in a stream reach When the reach is very short relative to the size of the flood wave attenuation does not occur only kinematic translation as already discussed C 62 Exercise II D Creation and Execution of
159. row corresponds to an individual polygon in the development file Block 6d Sediment aggregate beta BMP values This block presents the multiplicative BMP scaling factors based on the BMPs specified in Block 3 A scaling factor of 1 means there are no BMP reductions for this entry Each row corresponds to an individual polygon in the development file D 29 e Block 6e Sediment Loading Table with BMPs active in tons year This block is the counterpart to Block 6b except that now BMP effects are taken into account Each row in this block presents the loadings of sediment for each polygon in the development file This block is essentially the product of the land use presented in Block 2 the loading rates presented in Block 6a and the alpha and beta values presented in Blocks 6c and 6d 6 A screen capture of Blocks 3 4e is shown in the figure below The circled items highlight aggregate reported loadings and the role of a single BMP in reducing nitrogen loading slightly from 184 5 tons year to 178 0 tons year in the development file due to two specified high till BMPs E File Edt Format View Help BMPs Specified BMPs for current conditions ID COSEG Land Use BMP Total Area BMP Area Add or Mult Nitrogen Add 210024021 Hi Till NMPI x 141 696 141 696 x 0 3 0 0 2 0 210024021 Hi Till RHEL x 141 696 141 696 x 0 2 o 0 59 0 210024021 Manure AWMSL 7 524 7 524 0 75 0 0 75 0 Nitrogen Loading Rate Table in lbs acre year COSEG STSEG hi
160. rowth has occurred The continuation of this pattern is assumed in the Woods and Poole cohorts We did develop alternatives to the Woods and Poole based headship rates These changes were based on the following table which displays the national trend in headship rates from 1950 through 2000 This table shows that while household formation increased through 1980 since then the household rate has either declined or stagnated Therefore we developed a new series of headship rates for this study one where the headship rate for all age cohorts older than 14 increased slightly every year after 2015 and another where the headship rates for the same groups declined slightly after 2015 Asample of these headship rate tables for Caroline County MD is displayed below Share of Population Heading Independent Households Percent 60 50 40 30 20 Age 1950 W 1960 MH 1970 1980 W 1990 W 2000 Source US Census Bureau 1950 2000 Decennial Censuses Figure 7 Changes in Headship Rates 1950 to 2000 15 2000 2005 2010 2015 2020 2025 2030 Caroline 3 per decade growth after 2010 0 to 14 0 0 0 15 to 24 0 130177 0 130177 0 130177 0 13213 0 134083 0 136094 0 138105 25 to 34 0 461437 0 461437 0 461437 0 468358 0 47528 0 482409 0 489538 35 to 44 0 532006 0 532006 0 532006 0 539986 0 547966 0 556186 0 564405 45 to 54 0 557127 0 557127 0 557127 0 565484 0 57384 0 582448 0 591056 55 to 64 0 591947 0 591947 0 591947 0 600827 0 609706 0 61885
161. s not just a web browser if the file does not open note the file extension and open it with the appropriate application or navigate to the folder that contains that item and open it from there Hint See the status bar at the bottom of your browser which will show the directory location Finding Documents You can search this index for particular files or subjects by using your web browser s Find ability Control F in Windows and Command Apple F in Apple Macintosh Where possible key words have been added to file names to denote contents and help searching i e water planning sewage land transportation Standard abreviations are used for states MD VA DE for Maryland Virginia and Delaware As file names are not completely named expanded they are necessarily contractions in some cases as they are generated from the folder structure itself and the files therein searching for partial key words on this page may help too i e transport rather than transportation If you are still unable to find a particular document you may wish to drill down through directories starting from the master document folder Seagrant and so on Each state folder uses the same sorting structure noted above Finally you may wish to use a utility like Google Desktop which can index files on your hard drive and enable the searching of the content of these files Table of Contents Jump to data sections by clicking on the links below if there are n
162. s numbers do not use Enter Threshold Area pixels 250 EER spaces or unusual characters such as put File Path e temp75544 etc All files you generate in this GISHydro2000 web session will be sent to this path or to directories located deeper along this path Step 4 Longevity of Files in the e temp Directory Files written to the e temp directory should be considered temporary You must make use of the windows explorer tool to move all work to your local machine from the server At the time of this writing files will be deleted from the e temp directory periodically and without warning generally files less than one week old will not be deleted unless space requirements require otherwise It is up to you as a user to copy your work promptly and maintain your own permanent version of all created files on your own local machine Final Comment The number of persons the server can simultaneously support is 10 So 1 please log out promptly once you ve completed your analysis and 2 if you are unable to log in because all 10 of the licenses are already being used please let me know l d like to know how often this license limit kicks in 55 Exercise 1 A collection of background exercises from other sources There is a body of existing documentation on the use of the GISHydro2000 tool for both water quantity and water quality modeling Rather than repeat that documentation her
163. se Prince George s County is unavailable SSUGRO format If you are confident that the watershed you will later delineate is within the bounds of this data you can proceed with SSURGO But if your watershed extends beyond the limits of this data you will be forced to go back and select a different soils data type This warning system also applies to watersheds that extend outside of the State In cases where the selected quad is completely outside of the State or a SSURGO county data choices will be removed from the soils and land use pull down menus The Ragan Soils database is available for all quads with land draining into the State of Maryland and is therefore recommended Select Processing Options The last step before closing the Select Quads Dialog box is to set the desired processing options In order to delineate streams and watersheds the Perform Processing checkbox must be checked It is recommended that the Burn Streams checkbox be checked to insure that the alignment of the extracted drainage network corresponds with known locations from the 1 100k blue lines streams The threshold drainage area in pixels controls the extent and amount of streams to be extracted from the DEM topography A high value 1000 will provide fewer streams while a low value lt 250 will produce more streams The default value of 250 corresponds roughly to the extent of the blue lines visible on a 1 24k topographic map Previous versions
164. se Land Use Study Condition Watershed Characteristic Current Land Use Future Land Use Indicated Land Use CCAP 2005 land cover Plan High Urban Area 8 9 15 9 Impervious Area 4 7 7 4 Time of Concentration Will Thomas hours 36 4 35 2 Time of Concentration SCS Lag hours 36 1 35 6 Average CN 74 8 75 3 Forest Cover 30 8 28 1 Storage 12 8 12 3 60 The changes that appear in the above table are consistent with the expected changes in an urbanizing landscape urban area impervious area and curve number increase times of concentration decrease and forest cover and storage areas decrease We will use this watershed as a continuing example with the expectation that these changes in land use will result in changes in both flooding and nutrient loading behavior Example Changing Flood Frequency Behavior Depending on the state in which the analysis is taking place and the specific regression equations that are chosen the user may or may not determine a change in the peak discharge as a result of changing land use In Maryland there are two sets of regression equations that can be selected USGS Discharges and Thomas Discharges USGS US Geological Survey discharges are calculated based on regression equations developed by Dillow 1996 while the Thomas discharges are based on regression equations developed by Thomas and Moglen 2010 The USGS discharges are sensitive to Cur
165. se button on the dialog box Calculate Attributes From the CRWR PrePro menu select the Calculate Attributes option This step will determine the length of the longest flow path and apply time of concentration settings for the watershed A message box will appear notifying you when the processing is complete This exercise is continued on page 58 using the velocity method for each subwatershed C 47 Refining Time of Concentration Calculation Velocity Method Segment Generator A tool to combine velocity method segments was developed in February 2005 This document provides guidance on the use of this tool that allows the engineer to merge multiple pixels into single segments for computation of the time of concentration using the velocity method Preliminaries Z Watershed Statistics x GISHydro Release Version Date February 6 2005 Hydro Extension Version Date October 15 2004 Analysis Date February 14 2005 Before reaching this new dialog box the analysis proceeds in the standard way eee rea through the Hydro menu Figure 1 shows the watershed statistics for an approximately 10 mi watershed in the center of the East New Market quadrangle on Maryland s eastern shore Note that the Thomas time of concentration is 21 3 hours while the SCS Lag equation produces a estimate of about 12 5 hours This is a large disparity but it does convey the general sense of a 10 to 20 hour time of concentration This is a lon
166. seeeeeeeesceesesseaeeeeeesesesesseaeaeeeeees D 22 Exercise 2 Performing a Conventional Default Nutrient CBPO Nutrient Loading PNT FE AAS ere ge Eo ee D 26 Exercise 3 Tabular Analysis of the CBPO GISHydro Nutrient Loading Output File D 27 Overview This report presents the methods used in and results produced by a study Developing a Decision Support System for the DelMarVa Peninsula A Tool to Integrate Alternative Growth Scenarios and Environmental Impact Assessments into Local Land Use Planning undertaken by the authors to forecast future land use on the DelMarVa peninsula under a range of possible growth scenarios This report further presents a user s manual to a GIS based tool GISHydro that was developed to specifically provide access to forecasted land use land cover forecasts resulting from this study By providing access to the forecasts through this tool the user is able to make use of the GIS interface and the hydrologic specific tools within the GIS to quickly assess the impacts on both water quantity and quality of forecasted future growth within this region In this project we have modeled the spatial pattern of various futures for the Delmava Peninsula using two models GAMe and SLEUTH GAMe Reilly 1997a 1997b is a coarse scale growth allocation model which takes regional forecasts and assigns them to smaller municipal scale units GAMe has sophisticated demographic and policy simulation capabiliti
167. shed Task Estimate the peak discharges Qi 25 Q500 for the Northwest Branch watershed above USGS Gage 0160500 located in Montgomery County Maryland Use each of the regression methods in GISHydro2000 and compare your results Calculate Peak Discharges After the Basin Statistics have been calculated the next step is to calculate the peak discharges Select Calculate Thomas Discharges from the Hydro Menu The Thomas equations used a fixed region method to calculate peak discharges The figure below depicts typical values for the study watershed As with the Basin Statistics the discharges shown can be output to a file amp Fixed Region Estimated Discharges 3 GISHydro Release Version Date June 15 2004 Hydro Extension Version Date May 10 2004 Overall Weighted Fixed Region Estimated Discharges Q 1 25 962 cfs Q 1 50 1300 cfs 1500 cfs 1630 cfs 3060 cfs 4440 cfs 6770 cfs 9110 cfs 12000 cfs 15600 cfs 21800 cfs Individual Province Predictions Follow Fixed Region Estimated Discharges for Piedmont region Q 1 25 962 cfs Q 1 50 1300 cfs Q 1 75 1500 cts 1630 cfs Q 5 3060 cfs Q 10 4440 cfs Q 25 6770 cfs Siete 12000 cfs 15600 cfs 21800 cfs C 39 Next select Calculate Dillow Discharges from the Hydro menu Since the watershed contains a USGS gage you will be prompted to decide whether to perform a gage adjustment as permitted by the Dillow regression equations See http
168. t S Network TNG 239KB 239KB 8 D on Client U Network Drive Details N E C on Client Network Driyg 148 GB 59 8 GB moglen on CEMOGLEN System Folder that appears Circled in the application window below are two groups of drives that should appear in the explorer window e The top group labeled Hard Disk Drives shows the drives located on the GISHydro web server Please note that drive Data E also referred to in this document as simply e is where GISHydro and the e temp directory is located which should contain any user files that you generate during a session on GISHydro e The bottom group labeled Network Drives shows the drives on your local machine that you have used to connect to the web server Shown in the screen capture are three drives which are given logical drive names from the server s perspective of S U and V These correspond to the S D and C drives respectively on my local machine What you see may vary from this but the character appearing before the S e g CS above indicates the name of the drive on your local machine e g C in this example 53 e All file movement between the server and your local machine needs to be performed through the Windows Explorer application run from the server Windows explorer on your local machine will not work for moving files up down to from the server b Prep
169. t MCD housing and job related footprints sssssssssssrsssesersseeresrssrrersses 12 Examination of the Headship Model c cccccccccssssssssececeeecsssessaeeeceeeesceessaeaeeeeeesenssessaseeeeeeens 13 Testing of the Housing and Employment Allocation MOdel ccccccccssssssscececeessssssssseseeeeeens 17 Alternative Methods to Convert Housing and Jobs to a Development Footprint 05 20 NOW DSA SIO Stadt cate Sete daneldewaales aa a a tirade a a a a A i 20 HOUSING DENSILY ersan aaa aaa A a a a a aa S a EEA aa Aa akina 23 PRE SUES na erreina iki REA ER R AEEA R RE RA Ra 23 Methods for Generating Land use Land cover Forecasts for GISHydro using the SLEUTH IMS ee iceren chad iy a e A a A E AA a a aves 24 Background on SLEUTH Model Methods ccccecsesssscceceeecessessaecececeesceesssaeaeseeeesesssessaeeeeeesens 24 Calibrating the SLEUTH Model sng kn a a a a a a iaaa Taai 25 Forecasting Future Urban Development with SLEUTH ccccccccccccesssssssseeeeeeseessesseasseeeesens 29 Incorporating GAMe s Forecasts into SLEUTH cccccccccccsssessesesececeescsesseseseseeeeseessesssaeeeeeeeens 31 Incorporation of SLEUTH Output into GISHydro s sesssnsssseseseseesessssesereesessssesrrerrtssssesrrereesssssseene 35 Forecast Changes in Runoff Quantity and Quality in the DelMarVa Peninsula 35 Forecasted land Use Change koien a a a E Aa 36 Forecasted Loadings and Peak Flow Changes
170. t on approximately page 8 to zoom into a ea small area near the watershed outlet so you can indicate the overall watershed outlet with good precision After the overall watershed is successfully delineated the next step is to indicate to GISHydro how you would like to sub divide the watershed Placing your cursor within the overall watershed boundaries click the S tool to indicate stream origination points and then click carefully on one point within each desired separate sub watershed The figure shown at right shows the resulting simplified drainage network that should produce a fair approximation of the sub divisions indicated in the earlier Anacostia Watershed Society figure When you feel you have indicated all necessary streams in Step 3 choose the CRWR PrePro Add Streams menu choice You will be presented with a Yes No dialog box D 23 Choose No so that GISHydro uses only the streams you ve indicated in the Step 3 when sub dividing Choose CRWR PrePro Delineate Subwatersheds The view should change and you should see a gray colored theme appear which shows the boundaries of your sub divided watershed as shown in the figure at right A quick glance at this figure should reveal that there are more sub divided regions than you may have intended based on the figure from the Anacostia Watershed Society This is because GISHydro by default performs a subdivision at each confluence of
171. t with the output Choose No e Include the latest TR 20 user notes with the output Choose No e Write all warnings and messages to a separate file Choose No C 65 Finally when asked select yes to execute the TR 20 model Evaluate and Compare Results TR 20 will execute automatically and return the generated output file in Notepad for review The output file is shown below which reports that the peak discharge for the 100 year storm is approximately 11 612 cfs Your results may vary P tr20out Notepad File Edit Format view Help GISHydro workshop oo 16 Northwest Branch watershed 13 57 34 PASS T JOB N al EXECUTIVE CONTROL INCREM MAIN TIME INCREMENT 100 HOURS EXECUTIVE CONTROL COMPUT FROM XSECTION 6 TO XSECTION 2 STARTING TIME 00 RAIN DEPTH 8 17 RAIN DURATION 1 00 ANT RUNOFF COND 2 MAIN TIME INCREMENT 100 HOURS ALTERNATE NO 1 STORM NO 1 RAIN TABLE NO 2 OPERATION ADDHYD XSECTION 2 PEAK TIMECHRS PEAK DISCHARGECCFS PEAK ELEVATIONCFEET 14 06 11611 9 NULL RUNOFF ABOVE BASEFLOW BASEFLOW 00 CFS 4 62 WATERSHED INCHES 63570 CFS HRS 5253 4 ACRE FEET Did you request that output be written for the confluence upstream of the Gage Re open the TR 20 control panel and un check the box for Apply output options only to watershed outlet Un checking this box will produce output data for each watershed element in the model i e each RUNOFF ADDHYD and XSECTION Re run TR 20 a
172. tent to the boundary of the watershed The delineated watershed should look like 2 Area of Interest Sandy_spring and others vi Inferred Streams j A AW atershed 2 No Data Usgsgagesm shp 2 yr Prec MD Quads MD Roads Outlets Stream Links Curve Number Soils Land Use Original DEM J 51 3 119 361 C 119 356 187 C 187 411 25 C 255 467 322 E 223 522 391 391 578 456 459 633 527 El 527 689 592 i 695 744 The watershed theme is given an arbitrary name A Watershed Note that the color of the watershed may be different for each user Move the Inferred Streams layer to the top of the View legend to have the streams draw on top of the watershed boundary Basin Composition After the watershed has been delineated from the Hydro Menu select the Basin Composition option You will be prompted to enter a name and location for a text file that contains the land use composition of the watershed by hydrologic soil type This information will not be displayed from within GISHydro however it can be opened in a text editor such as Notepad where it can be printed or the text can be copied pasted into another document C 30 basincomposition Notepad Bie Edt Forint Yew Hep ISISHyGro Release Version Date June 15 2004 Hydro Extensian version Date May 10 2004 Landuse and Soil Distributions for Distribution of Landuse by Soil Group acres on
173. the Calculate Attributes menu choice produces the Longest Path Sub x raster theme where x is a number varying from 0 to n 1 where n is the total number of sub areas within the overall watershed By initiating the segment generator dialog a new theme is created for each sub area Figure 5 The upstream end of the longest flow path for the example watershed C 52 that is refined These themes are called Tcpathx shp where x is a number varying from 0 to n 1 as above This theme visually shows the longest flow path in sub area x and also shows the 3 flow types of this longest flow path as shown in Figure 5 This figure focuses on the upstream end of the longest flow path The solid black line corresponds to the channel portion of the longest flow path the dashed red line corresponds to the swale and the dotted blue line barely visible at the extreme upstream end is the overland portion of the longest flow path Of course much of the channel part of the flow path is truncated off in the figure There is also a tabular representation of this theme as shown Attributes of Tcpath0O shp i Mi i i i 1 00 1 00 1 00 i i i 174 7 i 43 2 fi 1 1 4 Figure 6 Table for longest flow path corresponding to a single segment for each type of flow condition of time of concentration consistent with Figure 5 in Figure 6 Each row record in this table corresponds to an individual segment along the longest f
174. the Chart button in the table view a Select Return period as the field in the Label series using drop down list Then add each field to be included in the chart e g Carpenter Dillow Thomas L Moment ROI by selecting it and pressing the add button Click OK when finished A chart similar to the one will be displayed This chart may be labeled and printed for inclusion in a hydrologic analysis report 2 Calculated Discharges Calculated Discharge Comparison 1 25 Year E 1 50 Year E 175 Year H 2 Year E 5 Year E 10 Year E 25 Year E 50 Year E 100 Year E 200 Year E 500 Year Carpenter Dillow Thomas L Moment ROI C 42 Exercise II A Introduction to TR 20 Modeling and Subdivision In this exercise we will begin the development of a TR 20 model for the prediction of the 100 year return period discharge occurring at the outlet of the Northwest Branch watershed at Gage 01650500 Task Use the GISHydro2000 program to define the elements of the Northwest Branch watershed for a TR 20 model Subdivide the watershed into 5 sub watersheds corresponding to the main channel segments and routing reaches Delineate Main Channels and Sub watersheds Inspection of the drainage network the Inferred Streams theme shows that there are a large number of short stream branches that extend from the main stream segments These features are not typically seen on a 1 24k blue line coverage and are an artifact of the channel
175. the DelMarVa Peninsula Roads that were not considered primary routes were eliminated from the dataset SLEUTH simulates the influence of the transportation network on development patterns EXCLUDED LAYERS SLEUTH requires an excluded attraction layer that designates areas of the study region that are either more or less likely to become developed Our basic exclusion attraction layer was based on a geospatial dataset that identifies all lands that are completely excluded from development Figure 3 This layer included water bodies state owned lands private conservation properties easements and wetlands see Appendix B for a complete listing of data sets that were included in the protected lands layer We included additional variables into this layer as described below to enhance the calibration procedure and for forecasting 26 SLEUTH Excluded Layer for the Delmarva Penninsula Developable Excluded Lands Developable Excluded O 10 20 40 60 80 Kilometers North American Datum 1983 UTM 18 North Created by A J Beck Shippensburg Univ Figure 3 Protected lands layer for the DelMarVa shown in black Using the above data sets all of which are at a cell resolution of 30m x 30m we ran an initial calibration of the SLEUTH model Note that this initial calibration utilized an excluded attraction layer that included only lands excluded from development all other lands were assumed to be equally weighted for develop
176. the file you wish to download to your local machine e In WinExp2 navigate to the folder under Network Drives where you wish to receive the downloaded file from the server e With both WinExp1 and WinExp2 open to the correct folders simply click on the file in WinExp1 drag it over to WinExp2 and drop the file there This should initiate a file copy command and download the file from the server to your local machine 54 Step 3 File Paths and Valid File Names in GISHydro2000 Software For security reasons and to keep files from different users and different projects separate it is important to understand the file management strategy of GISHydro As shown at below the bottom part of the Select Quads dialog indicates the 340 Quads Available 1 Quads Selected Pick Tool kensington Select DEM Data GISHydro2000 Select Quadrangle s for Hydrologic Analysis abbottstown default path that GISHydro2000 has aberdeen accident Add assigned for your analysis airville NED DEMs zl session You may accept alexandria Select Landuse Data and record this number amaranth 2002 MOF Landuse z anacostia Select Soils Data or you can specify a more a ie u meaningful name of your own Just be sure to retain the e temp part DEM Processing Parameter Hydrologic Conditio to be defined later with gt and to only use letters or IV Perform Processing V Bur Stream
177. the next segment in the downstream direction e Avg Area This number reflects the arithmetic average of the drainage area to all pixels combined to make up the flow segment The value reported is in mi UpElev This is the elevation at the upstream end of the segment in feet DownElev This is the elevation at the downstream end of the segment in feet Slope The slope of the segment in ft ft Width The channel width in feet determined using the Avg Area reported earlier in the U S Fish and Wildlife hydraulic geometry equations If the segment C 53 is not a channel then 1 00 appears for this entry indicating that the quantity does not apply to this segment e Depth The channel depth in feet determined using the Avg Area reported earlier in the U S Fish and Wildlife hydraulic geometry equations If the segment is not a channel then 1 00 appears for this entry indicating that the quantity does not apply to this segment e Xarea The channel cross sectional area in ft determined using the Avg Area reported earlier in the U S Fish and Wildlife hydraulic geometry equations If the segment is not a channel then 1 00 appears for this entry indicating that the quantity does not apply to this segment e I Length The length of the current flow segment in feet e Tot _Length The total running length from the upstream end of the overall flow path to the bottom of the current segment in feet e Vel the av
178. the pixel as channel swale or overland flow Choose the Combine the Longest Flow Path Segments option from the CRWR PrePro menu to open the Velocity Method Segment Generator Dialog box BOON TR 20 Interface Graphics Window Help Velocity Method Segment Generator j xi Ctrl R Recaledats Ts Select Sub Area Velocity Method Statistics Create Update Segment Sub Area Quick Merge 7 T Single Overland Bice UCU J Set ToP I Single Swale Overland Tc hrs et Tc Parameters Single Channel T Calculate Attributes L B al Swale Te hrs Combine Longest Flow Path Se nts x ieg Channel Te hrs White Sub Area Land Use Distribution A E NE e al Overland Segments G na ChG Upstream Pixel enerate Schematic trl Swale SENEE a Downstream Pixel l Channel Segments Task Use the Select Sub Area tool to choose the sub area subwatershed in the upper left corner of the watershed When the mouse is clicked a series of calculations are performed and the longest flow path for that sub area is vectorized and added to the Area of Interest View The attribute table is also displayed for your reference The Segment Generator dialog box remains open to allow the user to modify the flow paths The current velocity method statistics for the current sub area are shown on the right Note the overall Tc for the current sub area in hours Check the three
179. time of concentration that you can realize for each subwatershed The pixel by pixel flow times generally produce the longest time of concentration for each subwatershed In the next part you will merge specific flow segments to generate Tcs in between these bounds C 59 Part II Merge Specific Segments As shown on the GISHydro2000 flow chart on page 111 the modification of flow segments is one technique that can be used for calibrating peak discharges see calibration re entry point Fe and calibration advice beginning on page 68 If modeled peak discharges are too big you can use this tool as a calibration mechanism to merge flowpaths into multiple segments rather than single segments This will result in longer time of concentration estimates and consequently reduce the peak discharge estimate Task Repeat the Velocity Method time determination for the five sub areas in the Northwest Branch Watershed Your task is to collapse all of the swale flow pixels and their associated travel times into a single segment for each subwatershed Begin by opening the Velocity Method Segment Generator dialog box and select the sub area in the upper right of the watershed For this sub area swale flow begins with Pixel Number 3 and ends with Pixel 24 Note you may not get the same exact pixel numbers or times for your sub area The Overall Tc for this sub area is currently 5 826 hours Enter the upstream and downstream pixel number in the Merg
180. ting 522777 m MD Stateplane Outlet Northing 80891 5 m MD Stateplane Findings Outlet Location Eastern Coastal Plain Outlet State Maryland Drainage Area 26 7 square miles Eastern Coastal Plain 100 0 of area Channel Slope 1 7 feet mile Land Slope 0 002 ft ft Urban Area 8 9 Impervious Area 4 7 Time of Concentration 36 4 hours W O Thomas Time of Concentration 36 1 hours From SCS Lag Longest Flow Path 11 20 miles Basin Relief 11 4 feet Average CN 74 8 Forest Cover 30 8 Storage 12 8 Limestone 0 0 Selected Soils Data Statistics A Soils 19 4 B Soils 14 8 C Soils 390 D Soils 26 2 STATSGO Soils Data Statistics used in Regression A Soils 16 1 B Soils 18 1 C Soils 23h D Soils 38 1 2 Year 24 hour Prec 3 45 inches Mean Annual Prec 45 71 inches 59 NAD JE Equa NAD 1983 1983 Equation tion L67 Equations Exercise 3 Setting the Land Use Condition Managing Scenarios As stated towards the end of the previous exercise the default land use condition at the outset of an analysis is the Current land use condition You can verify this is the case by choosing CBPO Loading Set Current Future Land Use Condition You will see the dialog box shown at right Notice that the circled text shows th Sit condon Cut tard Ue gt land use condition that is currently active in this case Current Land Use As the user you Current Land Use
181. to locate the file usgsgagesm shp located in the umdgism maryland directory Add Theme Directory c umdgism maryland OK polym shp amp cs Cancel quads83v3m shp E gt umdaism 1f3_stpm shp statesm shp statsqo_allm shp E extract_lu202 tifrectanglesm shp 3 info usgsgagesm shp E 1u2000stpm Directories C Libraries v Data Source Types Feature Data Source xl Now make the gage theme active and open the query builder as in Exercise I A Insure that the update fields box is checked and then build the query Gage_id 1650500 Note that the leading 0 in the gage is not entered Select the New Set button then close the Query Builder box Use the Zoom to selected button to magnify the selected C 29 feature in this case a gage Make sure the theme is turned on visible You should see the selected gage colored yellow This will be the watershed delineation point Delineate the Watershed Zoom in to the selected gage and arrange the themes so that the Inferred Streams theme is turned on visible Note that the selected gage is not shown directly on the drainage network This is OK Use the w tool to select the pixel select the tool from the toolbar then click on the pixel in the display window on the inferred streams nearest to the selected gage The watershed will be delineated after some processing is completed Use the zoom out feature to adjust the view ex
182. ty Total Housing Change in Housing NAME GEO_IDTX Census Model A Census A Model Central Kei 100019044 1 759 1 666 312 219 Dover 100019074 45 969 39 530 8 137 1 698 Felton 100019088 1 010 964 179 133 Harrington 100019133 3 481 3 045 615 179 Kenton 100019148 420 436 74 90 Milford Nor 100019222 4 836 4 026 857 47 Smyrna 100019370 4 808 4 114 852 158 Employment Allocation Backcasting Results RSq Tota RSq A KENT DE 0 99 0 97 NEW CAS 0 91 0 04 SUSSEX I 0 99 0 99 CAROLINE 0 97 0 80 CECIL MC 0 98 0 62 DORCHES 0 99 0 78 KENT MD 0 99 0 54 QUEEN Ab 0 99 0 85 SOMERSE 0 99 0 53 TALBOT N 0 99 0 19 WICOMIC 0 99 0 68 WORCES1 0 99 0 99 ACCOMAC 0 93 0 31 NORTHAM 0 96 0 19 So how did the models do In several counties the results are obvious both metrics had very high scores But in other counties the results were not as good For example in Talbot County we got very good model agreement when the total housing and employment numbers but much less satisfying results when we looked at the difference Overall we were very satisfied with our results given the inherent limitations of historic pattern driven modeling Because of the very good model performance in both Delaware and Maryland we felt comfortable predicting results for Virginia However these results will only apply to the year 2000 MCD boundary areas If the State again alters MCD boundaries our results cannot be assigned to these areas if they differ from those used in this st
183. ty By County Commuter Projections NOTE EXCEL and Text files e county_commuters_avgwage csv e jtw_fn txt e jtw readme txt jtw_total_commuters csv e jtw_total_commuters mdb e state commuters avgwage csv Return to Data Contents List Delaware Specific Research Components DE Contacts and Organizations DE contacts corridorplanningteam DE pdf DE CONTACT INFOR Delaware Economic Development Office DEDO Economic Strategy CEDS pdf DE Contactslist xls DE DelDOT Org Chart ContactNumbers pdf DE Delaware Contacts LocalStateNonProfitContacts doc DE_DelDot_2008 Delaware Department of Transportation Contact Information pdf DE DelDOT CmmtyProgramsServices hotlinks page pdf a See links within document too DE DelDOTAgencyWebsiteMap hotlinked pdf See links within document too DE GIS Shapefiles DE DelDOT Centerline Transportation and Routes e DelIDOT RoutesFile zip DelDOTcenterline zip e DelDOTcenterline File Metadata pdf DE State Agricultural Districts Folder e Agricultural Districts and Easements e metadata css e State Ag Districts dbf e State Ag Districts prj e State Ag Districts sbn e State Ag Districts sbx A2 of 11 8 11 2011 9 55 A Sitemap A3 of 11 e State Ag Districts shp e State Ag Districts shx Return to Data Contents List DE LandUse Preservation and Agriculture Use and Easements eoeeeereeew eee ec we we ew ew DE eoeeeeeewreeee ee oe DE State Agric
184. type the URL ea ea http 129 2 71 200 umd edu Then click a PN E the Add button and you should see the l eet au ae al URL for this site jump to the lower Sa Baez window labeled Web Sites Click the OK buttons to accept this site and close out the change of this internet option NOTE If you are communicating with the server via a Mac computer you can simply disregard this step Step 5 Logging into Server At the Internet Explorer address window type http 129 2 71 200 umd edu alternatively you 7j MetaFrame Presentation Server Log In Microsoft Internet Explorer ioj x imply followthe A S aan E an sim m y a r E Om O 2 A Dl Doe er OO JS link from the main Address http 129 2 71 200 umd edu Citric MetaFrame auth login aspx EJ Go Links gt GISHydro web page Seach D Broblocked NF Check Autolink Autchil Ed Options Driven to Excel and follow the link gt Drivento Brol ws 56 vs i from there i inietrati mde r gt Maryland Department of Transportation 7 You will then see the browser appear as Log in Welcome r Welcome to the GISHydro2000 Web Version After logging in click on the shown at right Enter eee feos GISHydro2000 icon at left to open GISHydro2000 and initiate an analysis Pay close attention to the name of your working directory You can use the your user name and Windows Explorer icon to u
185. udy Model calibration is a process of adjusting a value in an equation or process to achieve a more symmetric result Based on the very good results from our backcasting it was decided that calibration of the models was not needed Just as importantly we were not convinced that calibrating the model to 19 more closely conform to growth patterns between 1980 and 1990 to predict 2000 would serve much benefit since the actual forecasting would use the period 1990 to 2000 to predict the forecast years of 2010 2020 and 2030 Further making such calibrations assumes that these MCD based new growth patterns would continue through the study period A more honest assessment would be that as we have seen in the backcasting our models should do a very good job in many places but will have difficulty in places which new growth patterns emerge Alternative Methods to Convert Housing and Jobs to a Development Footprint Once housing and jobs had been assigned to an MCD GAMe needed to convert this growth prediction into an estimate of land consumed in the MCD To accomplish this task we explored several methods to convert houses into developed acres and to estimate how many jobs one can expect to find in an acre of build non residential development All of the methods attempt to produce MCD specific estimates we did not want to use some sort of abstract density or industry standard and apply it everywhere in a region We felt it important that the develop
186. ultural Easements Folder Agricultural Districts and Easements metadata css State_Ag Easements dbf State Ag Easements prj State Ag Easements sbn State_Ag Easements sbx State_Ag Easements shp State Ag Easements shx DE _landuse KENT 2005 _factsheet pdf DE _landuse KENT 2007 compplancurrentenviron pdf DE_landuse KENT 2007 industrialandofficeparks Final pdf DE _landuse KENT 2007 LandPreservEtc PolicyIssues Recom DRAFT pdf DE_landuse KENT 2007 Make YourOwnGrowthZone_WorksheetMap pdf DE_landuse_ KENT_2007_Map_compplanallcommunityfacilities pdf DE _landuse KENT 2007 Map CurrentLandUses pdf DE _landuse KENT 2007 Map ResLandAllocations 10YearIncrements1990 On pdf DE _landuse KENT _ 2007 sensitive _areas pdf DE _landuse KENT 2007 Woodlands final pdf DE _landuse KENT Map ResLandAllocations 10YearIncrements1980 On pdf DE_landuse_ NEWCASTLE _2005_factsheet pdf DE _landuse STATE 2005_factsheet pdf DE _landuse_STATE AgLands AgricPreservation Forest Conservation pdf DE _landuse STATE AgLands AgriculturalEasements CountyMaps April 2007 pdf DE _landuse STATE AgLands PreservationFndtnReport_ 1210207 CurrSitRpt pdf DE _landuse STATE Forestry Forest Legacy Program AssessmentOfNeeds Final pdf DE _landuse SUSSEX 2005 factsheet pdf Planning and Projections DE _EcoDevOffice CompEcoDevStrategy FullReport 2006 pdf DE 2006 2008 State Personal Income 2007 Bur Eco Anal pdf DE_EconomicOv
187. vation pdf 10 scenic _highways pdf 11_enhancement_policy pdf 12_excess_land pdf 13 transit _planning pdf 8 11 2011 9 55 A Sitemap A9 of 11 14 prioritization process pdf 15 context sensitive design pdf 16 sidewalk policy pdf 17 bicycle _policy pdf 18 road design manual pdf 19 farebox_recovery pdf 20_bus_stop_location pdf 21 wetlands mitigation pdf 22 maintenance _policy pdf 23_deltrac pdf 24 roadside enviroment pdf 26 traffic _calming pdf 27 support facilities pdf 28 lupa reviews pdf 29 tis reviews pdf 30_site_plan_review pdf 31 _ CommrclEntranceSubdivsnStreet_cess_reviews pdf 32 congestion stds pdf 33 subdivision regs pdf 34 mobility friendly pdf 35 _interconnectivity pdf 36 legislative issues pdf 37 admin chgs pdf 38 _implementation_thru_capitalplanning pdf 39 current intergov implications pdf 40 proposed intergov implications pdf 41 e government _applications pdf DE DelDOT Traffic Summaries 2001 2006 Growth Trends etc See links within these documents as well 2001 _Traffic hotlinked pdf 2002 _Traffic hotlinked pdf 2003_Traffic hotlinked pdf 2004 _Traffic hotlinked pdf 2005_Traffic hotlinked pdf 2006 Traffic hotlinked pdf Return to Data Contents List file C Users Glen AppData Local Temp contents html Maryland Specific Research Components MD Contacts and Organizations e HomepagePrint Contacts mor
188. ve Number Forest Cover and Storage all of which change as a function of changing land use In contrast the Thomas equations are not dependent on land use predictors and thus will yield the same peak discharge results regardless of the land use condition For purposes of interesting contrast the USGS discharges will be used here Current Analysis 1 Choose CBPO Loading Set Current Future Land Use Condition Click on Current Land Use Click OK 2 Choose Hydro Basin Statistics An output dialog of watershed characteristics will appear Click OK A file browser dialog will appear Specify a unique descriptive name such as currentbasinstat txt Click OK 3 Choose Hydro Calculate USGS Discharges An output dialog of peak discharges will appear Click OK A file browser dialog will appear Specify a unique descriptive name such as currentdischarges txt Click OK Future Analysis 4 Choose CBPO Loading Set Current Future Land Use Condition Click on Future Land Use Click OK 5 Choose Hydro Basin Statistics An output dialog of watershed characteristics will appear Click OK A file browser dialog will appear Specify a unique descriptive name such as futurebasinstat txt Click OK 6 Choose Hydro Calculate USGS Discharges An output dialog of peak discharges will appear Click OK A file browser dialog will appear
189. ver was derived from NOAA s Coastal Land Cover Change Analysis Program C CAP from which we created a time series of urban land cover based on high medium and low intensity developed land cover classes for 1996 2001 and 2005 for the areas of Maryland Virginia and Delaware that comprise the DelMarVa peninsula Figure 2 This time series data set was used as our primary input for calibration of the SLEUTH model during calibration we attempted to match the amount and patterns of urban land cover change that occurred between 1996 and 2005 Over this time period we estimate that urban land cover increased by roughly 11 from about 850 km in 1996 to about 940 km in 2005 25 Figure 2 The NOAA C CAP data set showing urban NOAA Coastal Change Analysis Program C CAP Urban Cover Change from 1996 to 2005 ated land cover change between 1996 and 2005 FEN 4 Mapped Urban Area lt i Cy County Boundaries Non Urban en 1996 Urban Area a Non Urban 3 C 2005 Urban Area S Kilometers amp 3 x North American Datum 1983 UTM 18 North Created by A J Beck Shippensburg Univ Data NOAA Coastal Services Center SLOPE The slope layer was acquired from the USGS National Elevation Dataset NED SLEUTH treats slope as a resistance to development TRANSPORTATION NETWORKS The transportation networks for the DelMarVa were acquired from the USGS Seamless Server It contained all major roads within
190. wth 2002 PDF MD_MDOT Fiscal2007_Budget_Transportation_Overview pdf MD MDOT SouthernMD_TransNeedsAssessment_2008 pdf Maryland Transit Administration MTA MD MTA AnnualReport Finances 2002 _TrafficVolume pdf MD MTA AnnualReport Finances 2003 TrafficVolume pdf MD MTA AnnualReport Finances 2004 Traffic Volume pdf MD MTA AnnualReport Finances 2005 _TrafficVolume pdf MD MTA AnnualReport Finances 2006 _TrafficVolume pdf MD MTA AnnualReport Finances 2007_TrafficVolume pdf State Highway Administration SHA Maryland e MD SHA Highway Needs Inventory County By County PDFs pdf SHA Maryland s Traffic Volume Maps by All County 2007 pdf SHA Maryland s Traffic Volume Maps by All Single County 2007 pdf SHA Maryland s Traffic Volume Maps by County1980 1999 pdf SHA Maryland s Traffic Volume Maps by County2000 2006 pdf SHA Traffic MonitoringSystem Volume Website DataServer doc pdf SHA Traffic Trends Website DataServer doc A10 of 11 8 11 2011 9 55 Al Sitemap file C Users Glen AppData Local Temp contents html Virginia Specific Research Components VA Planning and Projections e VA _2006 2008 State Personal Income 2007 Bur Eco Anal pdf Return to Data Contents List Contents of this document by Andrew Timleck 2008 All of 11 8 11 2011 9 55 Al Appendix B Lands included in protected lands database Maryland Maryland Dept of Natural Resources County
191. y are more sensitive to changes in land use and the corresponding elevation of curve numbers 40 T E F hsi os OD ct 5 UU ame c u o k U Scenario Figure 15 Average Percent Change in the 2 yr 24 hr Peak Discharge from the Initial Land Use Conditions for the Wicomico Watersheds Sensitivity of Hydrologic Change to Forecasted Land Use Change Finally we examine our findings from the perspective of sensitivity The question we are examining is whether one unit of change in the input parameters produces more or less than one unit of change in the hydrologic outputs The changing input parameters amount to the changing characterization of land use within the watershed We will use a simple metric to quantify input change total change in amount of developed urban land normalized by 41 10 00 4 x x KK x X Change in Sediment Load Init K xX Load x x XX XX RK 0 00 pr T T T T 0 00 2 00 M oo hy 8 00 10 00 12 00 14 00 E Change in Nitrogen Load Init Load 10 00 A Change in Phosphorus Load Init Load Change in 2 yr 24 hr flow Init Flow K Change in 100 yr 24 hr flow Init Flow 40 00 Change in Developed Land Watershed Area Figure 16 Percent Change in Predicted Nutrient and Peak Flow Values from Initial Values vs Percent of the Wicomico 4 Watershed Predicted to be Developed watershe

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