The FYRIS model Version 2.0 A user´s manual
Contents
1. E 10795961 3070 0 7FEFRO0030 Mm 079 3 COTCAIT 7 ARR3E 7 COFCO CICO 15 50079422046 1463382421523 FBARVITIANANOF 7 NAO Figure 14 The Q data tab contains input data regarding runoff and storage 12 6 7 The Calibration tab This is where you will probably spend most of your time The basic idea of this tab window is to provide means of calibrating your model and evaluate how sensitive a goodness of fit value is to changes in parameter values see section 8 2 Both manual calibration and Monte Carlo simulations may be used to find out the optimum set of parameter values Calibration may be carried out by means of manual calibration where the user manually changes the value of the calibration parameters cy and kvs between simulations The first step 1s to chose Manual calibration from the list in the upper right corner Then insert values on cy and kvs and click on the Settings button to chose time period months for the calibration All stations included in the COBS worksheet will be included in the calibration If you want to use some of the stations for calibration and some for validation you must use two different COBS worksheets one containing the selected calibration stations and one containing the selected validation stations To run the calibration you click on the Run button in the lower right corner The agreement between the modelled and measured data 1s evaluated using the model efficiency E2. empirical calibra model efficiency the correlation tion parameter for for temperature tion parameter for according to Nash coefficient temperature dependency sedimentation loss amp Sutcliffe 1970 dependency rate A more detailed description of the parameters above is given in the technical description of the Fyris model Hansson et al 2006 6 Introduction to the various windows of the model 6 1 The project manager The project manager is where you organize the work you carry out using the Fyris model The project manager comprises two parts the workspace panel and the projects panel Fig 11 The workspace is essentially a directory on your computer found under the Fyris model directory that contains a number of projects A possible way of organizing your work is to give the workspace the same name as the catchment you currently study and then store all simulations related to that catchment as projects in that workspace If you click any workspace in the list the projects belonging to 1t will show up EN Projectmanager Workspace Projects Sie Simulation Description fyrisan Faruk savean First calibration attempt Faruk2 The best one so far Eff 0 7 r 0 9 c0 0 99 kys 5 Figure 11 The project manager 6 2 Workspace panel The New button allows the user to create a new workspace and the delete button allows the user to delete a workspace but ONLY 1f it is empty Thus the user mu
3. h gt mi ER gt a Environmental Assessment 8 O 76 r ka U SLU 2 TURAY The FYRIS model Version 2 0 A tool for catchment scale modelling of source apportioned gross and net transport of nitrogen and phosphorus A user s manual by Klas Hansson Mats Wallin amp Georg Lindgren Department of Environmental Assessment Swedish University of Agricultural Sciences Box 7050 SE 750 07 Uppsala 2006 Report 2006 16 The FYRIS model Version 2 0 A tool for catchment scale modelling of source apportioned gross and net transport of nitrogen and phosphorus A user s manual by Klas Hansson Mats Wallin and Georg Lindgren ISSN 1403 977X Contents E NODEETOS TORN ol anio las ERSSON ASKA NS SNRA 3 2 MODER DESCRIPTION 00d A A DIRA 3 3 USE OF OTHER MODELS TO CALCULATE INPUT DATA sossssssesooovooovoooovooooovo0000000000000000000000000000000000000000000000000 4 4 Ol Dil Bsa as ae yD eee eer re ete rr casta 4 PR ESE E RO 4 A MAIOR SEO A Aras ese res SA NE AN NG ances wae SSA br MSE AA RR SANS SS ANA 6 ALS MINOR POMIN Pe OURCES a alado 6 AAs A NG AE CAL ON CA a aha aoe te gated E nctad nc tata tla Ne 7 o VAIS re Tr CS ert CS TT ENT TNE TOD ER ERS A 7 Ao RA 8 A ICI RONDA led laa dal E ID BEN cados 8 A MORAGA con Ca FON ean 05 EN FN EW dla e CO NTA TO we FR TNE em E do SINE SRA BEN RN SANNE 9 5 COUTPUE DADA lt a een 9 SE RE le 9 ee MINERA A o e o mee weet 9 6 INTRODUCTION TO THE VAR
4. 52446 72844547 82765 38740943 59113 76330857 108 0402872744 13350 31339724 29400 94260770 745298 30791699 21282 32878376 653 2045587693 0 563940878744 0 532037769669 0 500714477632 0 476809372620 0 430330465293 0 382049042527 0 463405365625 0 435261401820 0 287981428903 0 144487253797 0 348499672656 0 362418309667 Y Figure 17 source apportionment 14 The Result tab provides the means to display output data as well as ways to e g perform The Result tab lets you look at the entire results file in itself sorted according to sub catchment In addition 1t provides the user with the possibility to automatically perform various computations by pressing the following buttons Fig 17 6 9 1 Internal load Pressing this button presents in the tabular area here referred to as the data grid view of the Results tab the internal gross load before retention in each sub catchment and the net contribution after retention of each sub catchment to the downstream sub catchment summed over the entire simulation period 6 9 2 Sources After the computation the data grid view will contain the gross contribution before retention of the different sources in each sub catchment summed over the entire simulation period 6 9 3 Apportionment Clicking this button will start the computation of the source apport
5. toa loto tos aptos tos ados dedos tos tos to ados tos to to e 17 0 CENAR O Seta ata ta ato dao eto to to do tos os to to to o oo o o 17 O REFERENCES 22 o iia 18 1 Model history The dynamic Fyris model was originally developed by Hans Kvarn s at the Dept of Environmental Assessment at SLU for calculating source apportioned nitrogen and phosphorus transport in the River Fyris catchment in central Sweden Kvarn s 1996 After this first application the model has been further developed in applications for the Lake V ttern catchment Kvarn s 1997 the Lake Storsj n catchment Johansson amp Kvarn s 1998 catchments of coastal areas in Lake V nern Wallin et al 2000 and the River G ta catchment Sonesten et al 2004 During 2005 2006 the platform for the Fyris model has been changed from LabView http www ni com labview to Visual Studio and Net Framework http msdn microsoft com netframework This user manual describes the new version of the model released in September 2006 2 Model description The dynamic Fyris model calculates source apportioned gross and net transport of nitrogen and phosphorus in rivers and lakes The main scope of the model is to assess the effects of different nutrient reduction measures on the catchment scale The time step for the model is one month and the spatial resolution 1s on the sub catchment level Retention 1 e losses of nutrients in rivers and lakes through sedimentation up take by plants a
6. 99 99 99 99 99 Figure 8 A typical COBS worksheet containing measured and missing concentration values of the studied nutrient 4 7 Specific runoff This worksheet contains information on the area specific runoff in each sub catchment mm month The first row contains headings and Q station numbers ID while the following rows contain the actual data Fig 9 Year Month Days of month 108003 108004 108005 108007 1985 1 31 16 25 15 88 16 94 17 44 1985 2 28 83 10 2 10 7 15 34 1985 3 31 37 9 55 61 51 96 61 17 1985 4 30 13185 1083 10506 101 96 hay 1985 5 31 33 11 23 78 25 84 23 83 1985 6 30 19 85 15 4 16 84 15 96 EJ 1985 7 31 16 86 11 94 14 19 13 51 EN 1985 8 31 21 98 18 95 19 59 29 2 1985 9 30 40 66 41 78 41 17 70 27 1985 10 31 37 57 35 53 36 15 44 8 1985 11 30 39 43 37 69 37 87 41 01 1985 12 31 12899 12999 12787 14902 1986 1 31 46 06 49 17 53 14 61 39 1986 2 28 17 43 17 62 18 97 19 82 1986 3 31 10941 11177 10901 12417 Figure 9 The Specific runoff worksheet 4 8 Storage This worksheet contains changes in water storage m 10 in lakes and dams included as Model lakes in the model see Catchment worksheet in section 4 1 If a modelled lake is judged not to have any significant changes in storage you fill in zeros 0 for this lake The number of columns equals the number of lakes and dams in the model and the number of rows equals the number of months Include a header row where the column headers are the catchme
7. IOUS WINDOWS OF THE MODEL sossssssoocooosco0o000o000000000000000000000000000000000000000 10 Cub THE PROTECT MANAGER aan a a lito io all e too tl edo at 10 02 WORKS PACO PAM ta to a a e el ld lt le al bt ta 10 03 PROROCI PANEL o e is e o o id id is is es e o e a 10 Qu THE CGENERA DT re ru ass oe andas dns tes eldas ken a SAP NA NaN acc ain cc Nb 11 nn TEDATA TAB is a o is id id is is es e e A 12 NS 215s A A A A AES 12 OL THE CALIBRA TON PB a td e is de e di e cas tias E 13 0S THESSCENARIO TAB e e ls a e o o o ds is is es es o lt NR 14 ds CI I Se E E NR 14 O r e L O e A FLISAN AES 15 CD E ETE EE EET EAEE ERNER AEE EATA EA E EEE AE AEEA EEEN 15 OS Fee APPOLON EN nr nannaa ana aa a a a A 15 E MN A O SER A ESET ETS ULE SEAN 15 SIMEONE IIS DOT TA A aaan 15 O CIMA lo 15 F AO a E ACK TIN ISS A ADORO Oratorio szceestanscnecesnceseceessesucaccosccessautecenanes 16 7 1 REMOVAL OF EMPTY ROWS IN THE INPUT DATA TABLES ccsscccceccccccecsccccscccssccescccscccsccaescceesccassensssenssceneseenens 16 Tez COLUMN MODE A A a RGN 16 S HOW TO START USING THE FYRIS MODEL sosssssssooocooovo0o0000000000000000000000000000000000000000000000000000000000000000000000000000000000 16 Sl SYSTEM REQUIREMENTS tant rt atadura dd 16 8 2 INSTALLING THE PROGRAM ON YOUR COMPUTER sassoseosrerreesreerrerrrersreesreerrersrrersrrerrrerrrsrresr rn nr non ERROR ROTE ROTE EST R ERROR rer rena 17 a IMPORTE DADAS aaa o o a a o Er o o o o e RS ee 17 Sr TESTIBRA TON stos toa
8. If needed create a new workspace which will contain your projects by clicking the new button in the workspace panel Start a new project by clicking the new button in the projects panel A dialog will emerge and show Excel files in the directory last used on your computer Browse to the Excel file you want to use as data source and open it Even if no error messages appeared during the opening of the Excel file it might be a good idea to look through the imported data to make sure 1t was imported as expected This can be done by browsing the data tables in the data grid view under the Data and Q data tabs respectively If there is more than one empty line beneath your imported data remove it paragraph 7 1 8 4 Calibration Good modelling practice requires the user to calibrate the model such that the computed output compares well to the measured output This is done be means of adjusting the model parameters co and kvs The Fyris model provides the user with two alternatives manual or Monte Carlo simulations The manual calibration is useful in getting acquainted with the model behaviour and provides graphical means of comparing the modelled times series to the measured data values In addition to the visual subjective comparison the model also computes two statistical goodness of fit values Monte Carlo simulations are useful when assessing the model response to simultaneous changes in all parameter values This differs from sensitivi
9. P is an annual average concentration normalized for climatic conditions and typical for a combination of crop and soil type For calculating the type specific concentration of nitrogen and phosphorus in run off from forested areas a regression model is used LOfgren amp Westling 2002 For calculating runoff and water discharge the HBV model Bergstrom 1995 or the Q model Kvarn s 2000 is used 4 Input data file In order to perform simulations with the Fyris model one Excel file containing all input data is required Any suitable name may bee chosen for the Excel file and 1t must have the x s extension The Excel data file contains eight different worksheets Fig 2 Worksheets that are not needed in your project eg Storage if no model lakes with storage are included can be left blank They may however not be deleted The order of the worksheets in the workbook is of no importance however the names and content of each worksheet must obey the guidelines in this manual Make sure the name of the worksheet is spelled according to Fig 2 and that the upper lower case is correct A Catchment Major point sources Minor point sources Type spec conc Temperature COBS Specific runoff Storage Figure 2 The worksheets required in the Excel workbook An example of the excel input data file is provided with the program Demo Input Nitrogen xls 4 1 Catchment This worksheet contains time independent data on the different sub ca
10. bration Scenario Result Current project Lidan River Manual Calibration Monte Carlo Simplex c0 0 05 1125 Model efficiency Time series Sim vs Meas Figure 16 The plot shows an example Monte Carlo simulation consisting of 200 individual simulations Every single simulation is plotted as a dot where the model efficiency is a function of the value of the calibration parameter kvs 6 8 The Scenario tab This tab is currently not in use 6 9 The Result tab EN Fyris Model Menu About Seles Current project Enk ping River General Data Q data Calibration Scenario Result Internal load Catchment ID Mean retention Contribution at Final contribution Fraction parameter source ka kal 92460 2025260734 I 72339 75144443 0 782387306939 PE i Cat Out Copy gt EEO 0 21751 2692060584 0 279204974643416 0 056571726357719 0 0588741886814108 0 10380540667998 10 140567160493797 0 2369922189321 74 0 0745117500558099 0 0871374876105672 0 330790050601 708 0 66424116940349 0 247959349401749 0 167354816779799 1321589 43607142 43077 45732143976 1137472 427222555 23150 5339983313 121875 471702157 55705 7508716527 1178602 566022595 1135812 096044532 2268 21764603333 747 749607216107 38307 955386294 181124 3301549923 23344 46453211 68834 43458563 11038 39159156
11. column It is of no importance what is actually written just make sure to write something on line one and start providing data on row two Column A should contain the catchment ID column B the average load per month kg month from households In column C and D you have the possibility to insert data on other minor point sources that should be included in the source apportionment calculations Catchments that have no minor point sources do not need to be included gt A B C D 1 Catchment ID Households kg month Minor 1 kg month Minor 2 kg month 2 1294 110 3867737 0 046204246 0 3 1296 252 2667719 0 723877917 0 4 1345 73 67992739 0 748590018 0 5 1349 124 5599456 0 7269034 0 6 1350 106 9086241 1 666461214 7 1353 2 7119232 0 006597705 0 8 1355 61 99391992 0 52961518 0 9 1356 38 97840651 0 694976892 0 10 1366 257 0452852 4 199935315 0 11 1369 14 78409219 0 058121182 0 12 1374 52 56162332 0 716168934 0 13 1378 44 58014247 0 690591901 0 14 1381 56 9270021 1 065043942 0 15 1388 104 3359858 1 122093914 0 16 1406 76 9488372 0 902165702 0 Figure 5 The first rows and columns of the Minor point sources worksheet 4 4 Type spec conc This worksheet includes type specific concentrations mg l in runoff from different land use Type specific concentrations in runoff from arable land and pasture are however given in the Catchment worksheet thus allowing different concentrations to be used for different sub catchments The values in the Ty
12. der the Q data tab shows the area specific runoff and storage from the input data Excel file Fig 14 dEl Fyris Model Menu About Current project Fyris River General Data O data Calibration Scenario Result View O stations View storage Qstation 1 Qstation 2 9 Qstation 3 10 Qstation 4 11 Qstation 5 12 Qstatior A 22 17 09437065404 22 5501 30 15639984332 37 0627 40 06493122041 44 3606 42 64976549269 45 4341 58 76189912326 56 9297 117 18914791069 14 3095 5 475540600122 5 9147 2 003246561020 1 21992 1 550900563370 1 07324 4 006493122041 4 4360 3 618767981198 5 0084 114 094009866888 13 68495823078 21 41286184535 30 21176612188 26 61742625887 25 93701232107 37 384268414066 43 90147264587 38 01111751978 37 01669029639 51 17909287212 51 92647302199 41 33140723427 41 68448408743 73 85672540339 81 53130634233 59 792769132252 60 57276593956 2823674089496 24 277312062233 19 01244732776 1953960191598 7 7503971102332 6 968487721566 5 125094497050 5 384245861294 2 0059851344133 3 484243860783 2 562547248525 2 467779353093 1 676556490638 2 562605162124 1 735919103839 1 758564172438 3 282521129039 4 390147264587 3 630275268743 3 589497240862 3 529592611870 3 843907743188 2 893198506399 2 822386943420
13. ff Nash and Sutcliffe 1970 and the correlation coefficient r After a manual simulation the user can look at time series plots on modelled data solid line and measured data dots for every sub catchment where measured data exist Fig 15 First click on the Plot button Then change station by using the lt or gt button It is also possible to make a plot of simulated values versus measured values EN Fyris Model Menu About Current project Enk ping River General Data O data Calibration Scenario Result Catchment 13 Manual Calibration Monte Carlo Simplex Time series Sim vs Meas Figure 15 The plot shows a time series simulation of nitrogen concentration in catchment 13 Parameter values are displayed to the right as well as the statistical measures used in the Fyris model Parameter influence can be analysed by means of Monte Carlo simulations where parameter values are generated randomly according to a user specified uniform distribution The results can then be visualised through scatter plots Fig 16 The scatter plots reveal if any parameter is redundant and will also give information about what parameter values will give the best fit to the measured data The parameter values co and kvs giving the best fit to measured data generated with Monte Carlo simulations are in the next step used to run the model using manual calibration 13 EN Fyris Model Menu About General Data Q data Cali
14. he ID number of the nearest downstream flow measuring station Downstream ID Downstream sub catchment Altitude above sea level Lake Model_______ _______ I Yes 0 N0 Dep Clearcut Model Lake Name E AA Model Lake Area Model Lake Depth Model Lake Volume Initial Lake Concentration Parameter currently not in use in the model The outflow ID in the Catchment worksheet contains information on how the sub catchments are connected to each other If for instance sub catchment 1360 is immediately downstream of sub catchment 1348 1360 should be typed into column C Downstream ID column on the row containing the sub catchment 1348 information see example in Fig 5 The outlet area for the whole model catchment should have the downstream ID 1 Large lakes with water turnover time significantly higher than the time step of the model 1 month may be included as Model lakes in the Catchment worksheet Tab 1 For these lakes additional information is needed area volume and initial concentration The Model lakes are assumed to be situated close to the outlet of the sub catchment and hence receive the total load from sources in the sub catchment Furthermore there can only be one Model lake per sub catchment Informa tion on water storage in Model lakes is inserted in a separate worksheet see section 4 8 4 2 Major point sources This worksheet contains data from large point sources such as wastewater t
15. ionment of the total upstream net load after retention calculated for the outlet of the sub catchment that is chosen by inserting its catchment ID in the textbox labelled Out in the left margin of the Result tab Fig 17 Le it is possible to make a source apportionment for every sub catchment in the system 1f wanted The upper row of the presented data contains the actual load in kilograms per month that each source contributed with at the chosen outlet point The lower row comprises the corresponding fractions 6 9 4 Catch contr Clicking this button will start the calculation of the nutrient mass contribution in kilograms per month from each sub catchment to the chosen outlet As mentioned in paragraph 6 9 3 the outlet catchment 1s selected by inserting 1ts ID number in the textbox labelled Out Fig 17 The column labelled Gross contribution contains values that are identical to the values presented as gross contribution when pressing the internal load button The column labelled Contribution at outlet contains the load from this sub catchment at the chosen outlet point 1 e after retention in all downstream sub catchments in the flow path to the outlet 6 9 5 The Catchment listbox Clicking any of the catchment ID numbers in this listbox in the left margin of the Result tab will present the part of the complete results file relating to the chosen ID 6 9 6 Other features Other features of the Result tab are open a plot
16. ke V nern and V sterhavet Sea Transport retention and nutrient reduction measures within the River G ta catchment County Administration of V stra G taland report no 2004 33 ISSN 1403 168X Ul n B Johansson G and K Kyllmar 2001 Model predictions and long term trends in phosphorus transport from arable lands in Sweden Agricultural Water Management 49 197 210 Wallin M stlund M amp H Kvarn s 2000 N iringsbelastning p V nerns vikar inom Karlstad kommun K llf rdelning retention m l och rg rder in Swedish Institutionen f r milj analys SLU rapport 2000 6 ISSN 1403 977X Nutrient loading in coastal areas of Lake V nern within Karlstad Township Source apportionment retention environmental objectives and measures Swedish University of Agricultural Sciences SLU Dept of Environmental Assessment Report 2000 6 ISSN 1403 977X 113 pl 18
17. nd denitrification 1s calculated as a function of water temperature nutrients concentrations water flow lake surface area and stream surface area The model is calibrated against time series of measured nitrogen or phosphorus concentrations by adjusting two parameters Data used for calibrating and running the model can be divided into time dependent data e g time series on observed nitrogen and phosphorus concentration water temperature runoff and point source discharges and time independent data e g land use information lake area and stream length and width see Fig 1 Timeseries data Type specific concentrations Root zone leaching from arable and pasture land Runof from forested land clearcuts and wetlands Sub catchment land use Sub catchment calculations A A IS EE E E E SS IS TS SE rr RT GA Figure 1 The general structure of inputs and outputs to the Fyris model SLU Swedish University of Agricultural Sciences 3 Use of other models to calculate input data The dynamic SOILNDB model Johnsson 2002 is used for calculating type specific concentration of nitrogen in leaching from agricultural land For calculating the type specific concentration of phosphorus in run off from agricultural land a regression model has been used until now Ul n et al 2001 This model will however be replaced by the dynamic ICECREAM model Larsson et al 2003 Type specific concentration of a given nutrient N
18. nt IDs of the sub catchment the model lake belongs to The catchment IDs should increase from left to right In the example in Fig 10 there are two model lakes one in sub catchment 1367 and one in 1407 Only the lake in 1407 have significant changes in storage over the year Fig 10 Every row represents one month If there are no Model lakes included in the model you can leave the worksheet blank A B 1367 1407 2 0 2337 3 0 1097 4 0 2613 5 0 2933 6 0 3397 7 0 927 3 0 587 9 0 283 10 0 1053 Figure 10 The Storage worksheet 5 Output data The program produces two major output files montecarlo out and results xml montecarlo out contains information regarding the Monte Carlo simulation of the project provided such a simulation has been performed while results xml contain all other results 5 1 Results xml The content of this file can be viewed in the graphical user interface of the Fyris model see chapter 6 of this manual but may also be opened in external programs for data analysis It is recommended that the user saves the file using the save file button in the Results tab window to obtain an ASCII file named Results out This file can be opened in Excel and contains the information included in the Result tab described in section 6 3 5 2 montecarlo out The content of the montecarlo out ASCII file is organized in columns kvs E r Co cr 20 C empirical calibra upper limit in C
19. ordelning och retention in Swedish Rapport fran Fyrisans vattenf rbund 1996 31 sid Modelling nutrient transport in the Fyris River catchment Source apportionment and retention in Swedish Report from River Fyris Society for Water Conservation Uppsala Sweden Kvarn s H 1997 Modellering av n rings mnen i V tterns tillrinningsomrdde K llf rdelning och retention in Swedish Vattervardsforbunder rapport nr 46 ISSN 1102 3791 Modelling nutrient transport in the catchment of Lake V ttern Source apportionment and retention Lake V ttern Society for Water Conservation Report no 46 Lofgren S amp O Westling 2002 Modell for att ber kna kvdveforluster fran v xande skog och hyggen i Sydsverige in Swedish with English summary Institutionen f r milj analys SLU rapport 2002 1 Model for estimating nitrogen losses from growing forests and clear felled areas in southern Sweden Dept of Environmental Assessment SLU Report 2002 1 23 pp Nash J E and J V Sutcliffe 1970 River flow forecasting through conceptual models part I A discussion of principles Journal of Hydrology 10 3 282 290 Sonesten L Wallin M amp H Kvarn s 2004 Kv ve och fosfor till V nern och V sterhavet Transporter retention och atgdrdsscenariern inom G ta lvs avrinningsomr de in Swedish L nsstyrelsen 1 Vastra G talands lan rapport nr 2004 33 ISSN 1403 168X Nitrogen and phosphorus loading on La
20. pe spec conc worksheet depend on the season so there should be one value for each month of the year 12 rows The land use classes are from left mountain areas above tree line forests clear cuts mire wetlands open land settlements and urban areas Fig 6 The default values are values used for the most recent model applications in the southern part of Sweden Make sure to include a header row since data is imported from the second row down Mountain Forest Clear cuts Mires Other Urban 0 19 0 6 1 26 1 2 0 41 1 18 0 32 0 6 1 26 1 2 0 41 1 18 0 32 0 6 1 3 1 2 0 43 1 18 0 32 0 6 1 3 1 2 0 43 1 18 0 22 0 6 1 3 1 2 0 43 1 18 0 22 0 6 14 1 2 047 1 18 0 22 0 6 14 1 2 047 1 18 0 18 0 6 14 1 2 047 1 18 0 18 0 6 1 38 1 2 047 1 18 0 18 0 6 1 38 1 2 047 1 18 0 19 0 6 1 38 1 2 047 1 18 0 19 0 6 1 26 1 2 0 41 1 18 Figure 6 Type specific nutrient concentrations mg l in the runoff from different land uses 4 5 Temperature This worksheet includes data on measured water temperature If these data are not available from the modelled catchment data on measured air temperature monthly mean is an acceptable approximation of water temperature The columns from left in the temperature worksheet are Year Month 1 12 Number of days per month 28 31 and Temperature C Fig 7 These data are used for all sub catchments in the model and you have to fill in a row for each time step of the model This means that if the model includes data for 5
21. reatment plants The data should be organized according to Fig 4 1 e the first row should contain headings for every column It is of no importance what is actually written just make sure to write something on line one and start providing data on row two Column A should contain the catchment ID column B the name of the facility column C the year for which the data applies column D the month during which the measurement was taken and column E the average load per month kg month There can be more than one facility in a certain catchment area The data for the different facilities are inserted below each other Catchments that have no major point sources do not need to be included 1 CatchmentlD Facility Year Month Load kg month 2 1345 Odensberg WWTP 1985 1 85 0 J 1345 Odensberg WWTP 1985 2 85 0 4 1345 Odensberg WWWTP 1985 3 85 0 al 1345 Odensberg WWTP 1985 4 85 0 6 1345 Odensberg VWWTP 1985 5 85 0 E 1345 Odensberg WWWTP 1985 6 85 0 8 1345 Odensberg WWWTP 1985 7 85 0 g 1345 Odensberg WWWTP 1985 5 85 0 10 1345 Odensberg WWWTP 1985 g 85 0 11 1345 Odensbera VWWTP 1985 10 85 0 12 1345 Odensberg WWTP 1985 11 85 0 Figure 4 The first rows and columns of the Major point sources worksheet 4 3 Minor point sources This worksheet contain data from small point sources such as scattered households with autonomous sewage treatment system The data should be organized according to Fig 5 1 e the first row should contain headings for every
22. st delete all projects within the workspace first and then delete the workspace itself This is to reduce the risk of unwanted deletions of work 6 3 Projects panel The New button creates a new project by prompting the user to import an input data file see chapter 4 The user should browse to the desired Excel file and open 1t The data in the Excel file will now be imported 1f the contents fulfil the requirements on it The Delete button is used to delete a project Only one project at a time can be deleted The Copy button 1s used to copy an entire project to a new project to which the user will be prompted to provide a name All settings and results of the old project will be copied to the new one The Open button opens the selected project The same action will be taken by double clicking a project in the list 10 6 4 The General tab The general tab provides the user with some significant numbers concerning the project at hand Fig 12 These numbers can be used for a quick check that data was loaded properly You can also store comments about your project in the large textbox The first lines of information contained herein will be visible in the project manager EN Fyris Model Menu About Current project Fyris River General Data Q data Calibration Scenario Result H subcatchments bf timesteps c stations 20 lake models i H Q stations Comments A pretty nice fit in all s
23. tations Notice that we used measured O values in station 3 Figure 12 The General tab is the first thing the user sees of the actual model It contains general information of the projects such as number of sub catchments and number of measurement stations 11 6 5 The Data tab Under the data tab one can find data tables corresponding to the worksheets of the input data Excel file Fig 13 by clicking corresponding button on the left These data tables are useful for checking that the import of data worked well dEl Fyris Model Menu About Current project Fyris River General Data Q data Calibration Scenario Result CatchmentlD StationID DownstreamlD Area km2 Catchment i Major point sources Minor point sources Type spec Observed 4 5 7 6 12 2 3 4 E 6 i 8 10 6 11 114 954723 20 007464 72 243167 10 330802 58 278824 13 636629 4 675659 12 923981 0 0 669911004036 0 0 001980523849 0 114872600173 0 333188413290 0 0 002717009884 to i 2 8 13 31 63073 13 085085 76 436122 3 426793075502 3 162783402920 2 796612055847 14 24 921583 63 934125 A nar EFE an QJ r t Figure 13 The Data tab is useful for browsing the input data tables making sure that all information was imported correctly 6 6 The Q data tab The data un
24. tchments that is needed for the quantification of the nutrient transport This includes information on hydrological network of sub catchments and sub catchment specific data on land use deposition type specific concentration in runoff from arable land and pasture and data on included model lakes 1 CatchmentiD StationiD DownstreamiD Area km2 LakeArea km2 StreamLength im 2 1348 108004 1360 46 507 0 16892 a 1360 108004 1367 24 185 0 007 16783 4 1364 108004 1360 20 853 0 8506 9 1367 108004 1397 125 419 20 933 26148 6 1377 108003 1391 46 887 0 844 16529 1383 108003 1389 69 316 1 084 34153 8 1386 108005 1412 69 856 1 086 35019 g 1389 108003 1391 4 672 0 3392 10 1391 108003 1386 10 473 0 4136 11 1393 108003 1383 37 246 0 9436 12 1394 108003 1389 45 064 0 253 21290 1a 1397 108004 1407 15 453 0 923 5935 14 1402 108005 1412 5 55 0 812 3043 La 1403 108003 1383 7 229 0 5001 Figure 3 The first rows and columns of an example Catchment worksheet Given that the Fyris model uses decimal point and not decimal comma make sure that your input data is provided using decimal point The position for each column must not be changed The variable name in the header row can however be changed possible to include translation of variable and more detailed description The variable names units and description of the variables are given in Table 1 Table I The variables included in the Catchment worksheet Catchment ID Sub catchment IDO wr T
25. ty analysis where only one parameter is altered while fixing all others However by plotting goodness of fit measures as a function of individual parameter values a scatter plot is obtained which provides information about sensitivity to single parameters When you feel confident with the results 1t 1s time to start with scenario modelling as described below 8 5 Scenarios The scenarios need to be created by the user by means of altering the input data and then re importing the data to the model to see the changes in output Remember to keep the same parameter values as was found during the calibration process 17 9 References Hansson K Wallin M amp Lindgren G The Fyris model Version 2 0 Technical description Swedish University of Agricultural Sciences Dept of Environmental Assessment Report 2006 17 ISSN 1403 977X Johansson J amp H Kvarn s 1998 Modellering av n rings mnen i Storsj n och dess tillrinningsomr de in Swedish L nsstyrelsen i G vleborgs l n Rapport 19998 13 ISSN 0204 5954 Modelling nutrients in Lake Storsj n and its catchment County Administration of G vleborg Report 1998 13 Johnsson H Larsson M H M rtensson K and M Hoffmann 2002 SOJLNDB a decision support tool for assessing nitrogen leaching losses from arable land Pages 505 517 Environmental Modelling amp Software 17 505 517 Kvarn s H 1996 Modellering av n rings mnen I Fyris ns avrinningsomr de Kdllf
26. ut can otherwise be installed separately from Windows homepage Furthermore Office 2003 is required since the input data is imported using an Excel workbook Notice as well that the Fyris model utilises point and not comma to define non integer numbers e g 5 3 and not 5 3 Thus make sure that your input data have the correct format Depending on your computers national settings you may want to change this using your computers Control Panel gt National settings gt Numbers 16 8 2 Installing the program on your computer A standard set up program comprising two files setup exe and Setup Fyris model msi is provided for installation of the Fyris model on your computer The program will check your computer to make sure that the Net framework is previously installed and will encourage you to download it if it is missing During the installation you have the possibility to decide in what folder you want the program installed and the set up program will create a desktop shortcut as well as a start menu shortcut If your computer is connected to a network it is likely that administrator rights are needed for the installation 8 3 Import data The first thing do to when you want to start working with the Fyris model is to import the data needed to run the model The requirements on the input data have been mentioned in chapter 4 of this document A short walkthrough 1s provided here Open the project manager using the Menu
27. window by clicking the Plot button to view the data in graphical form Fig 18 copy the present contents of the data table to the clipboard by clicking the Copy button save the entire results file consisting of all catchment ID data tables to a semi colon separated text file called results out by clicking the Write file button 15 EN Source apportionment for catchment 14 Sele A Mountain E Forest O Clearcut O Mire E Arable O Pasture Ml Open O Built E Urban A Major point sources O Households E Minor1 O Minor2 O Ndeplake Figure 18 The source apportionment presented graphically by means of a pie chart for sub catchment 14 7 Special features 7 1 Removal of empty rows in the input data tables If the program imported more rows from the Excel worksheet than are filled with data you can double click on a row header in any data table shown under the data tab to remove all rows where the first cell is empty The model will not run 1f there is more than one empty row after the last data filled row 7 2 Column mode switch Under the data tab you can change column mode by clicking the salmon coloured little square in the bottom right corner 8 How to start using the Fyris model 8 1 System requirements In order for the Fyris model to run properly on your computer it is required that you have Windows XP including NET framework installed The NET framework should be provided with Windows Service Pack 2 b
28. years 60 months you have to fill in 60 rows Make sure to include a header row since data is imported from the second row down Figure 7 A snapshot from a typical Temperature worksheet 4 6 COBS The worksheet named COBS contains data on measured nutrient total nitrogen and total phosphorous concentrations Note that only one nutrient at the time can be calculated for in the model Data is provided once a month in mg 1 and the model only allows for one measurement site per sub catchment The first row in this worksheet should contain headings Fig 8 From column C and further to the right the sub catchment ID corresponding to the measurement station should be provided Only include the sub catchments for which there are measured values If values are missing for a certain month type 99 in the cell This informs the model that there is a missing value for that month and sub catchment Note that missing data may only be assigned the value 99 in this worksheet In the other worksheets 99 will be interpreted as data with value 99 A B E D E F G 1 Year Month 1367 1377 1386 1389 1394 2 1985 1 99 99 99 99 99 3 1985 2 99 99 99 99 99 4 1985 3 99 99 99 99 99 1985 4 99 1 16 1 71 3 09 1 51 6 1985 99 99 99 99 99 iy 1985 6 99 99 99 99 99 8 1985 T 99 132 0 93 0 85 0 89 9 1985 8 99 99 99 99 99 10 1985 9 99 99 99 99 99 11 1985 10 99 2 04 1 02 0 94 1 04 12 1935 11 99 99 99 99 99 13 1985 12
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