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The Soil and Water Assessment Tool (SWAT) is a small watershed to river basin-scale model developed by the United States Department of Agriculture – ... SlideShareusescookiestoimprovefunctionalityandperformance,andtoprovideyouwithrelevantadvertising.Ifyoucontinuebrowsingthesite,youagreetotheuseofcookiesonthiswebsite.SeeourUserAgreementandPrivacyPolicy. SlideShareusescookiestoimprovefunctionalityandperformance,andtoprovideyouwithrelevantadvertising.Ifyoucontinuebrowsingthesite,youagreetotheuseofcookiesonthiswebsite.SeeourPrivacyPolicyandUserAgreementfordetails. Successfullyreportedthisslideshow. YourSlideShareisdownloading. × Activateyour30dayfreetrial tounlockunlimitedreading. Swatmodel Report vishvjeettholia • Mar.04,2019 • 11likes • 9,252views DownloadNow Download NextSlideShares Youarereadingapreview. Activateyour30dayfreetrial tocontinuereading. ContinueforFree UpcomingSlideShare Arcswat Loadingin…3 × NarayanShrestha[CalibrationandValidationofSWATModelforLowLyingWate... NarayanShrestha Swat&modflow PradipaChinnasamy SWATToulouse2013Presentation Budi ApplicationofGISandMODFLOWtoGroundWaterHydrology-AReview IJERAEditor Swatmodelingofnutrientbieger SoilandWaterConservationSociety RAINFALLRUNOFFMODELLINGUSINGHEC-HMS PushpAggarwal MastersThesisDefensePresentation nancyanne WATERRESOURCESMODELINGOFTHEGANGES-BRAHMAPUTRA-MEGHNARIVERBASINSUSING... MoududHasan Facebook Twitter LinkedIn Size(px) Starton ShowrelatedSlideSharesatend Share Email     Topclippedslide 1of54 1of54 Swatmodel Mar.04,2019 • 11likes • 9,252views Report DownloadNow Download Downloadtoreadoffline Engineering SWATMODELWITHRESERVOIRMODULE Readmore vishvjeettholia Follow SWATMODELWITHRESERVOIRMODULE Readmore Engineering Arcswat vishvjeettholia APPLICATIONSOFARCSWATMODELFORHYDROLOGICALMODELLING AbhiramKanigolla UsingComputer-simulatedhydrologicalmodel(SWAT)toestimatetheground-wat... DhirajJhunjhunwala TheDevelopmentofaCatchmentManagementModellingSystemfortheGoogongRe... 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VishvjeetTholia ArjunP AswinPragadeshR SubhadeepMandal SWATMODELWITHRESERVOIR MODULE 2. PresentationOutline Introduction Historyofdevelopment,Source Utilities Requirementofdata ModelFramework Proceduretorunthemodel Casestudy Itslimitationanddrawbacks Futuredevelopmentofthemodel References 3. Introduction Hydrologicalmodellingisapowerfultechniquefor planninganddevelopmentofintegratedapproachfor managementofwaterresources. TheSoilandWaterAssessmentTool(SWAT)isasmall watershedtoriverbasin-scalemodeldevelopedbythe UnitedStatesDepartmentofAgriculture–Agricultural ResearchServices(USDA–ARS). 4. DevelopmentofSWATmodelisanongoingprocessanditisthe successorof“theSimulatorforWaterResourcesinRuralBasins” model(SWRRB). 5. Itisdesignedtopredicttheimpactoflanduseandmanagementon water,sediment,andagriculturalchemicalyieldsinungauged watersheds. Themodelbreakstheentirecatchmentintosubcatchmentswhich arefurtherdividedintohydrologicresponseunits(HRU),land use,vegetationandsoilcharacteristics. Itissemidistributed,physicallyandprocessbasedanddatadriven riverbasinmodel. Itisacontinuoustimemodelthatoperatesonadailytimestep. Itiscomputationallyefficient,andcapableofcontinuous simulationoverlongtimeperiods. 6. GotoSWATwebsite:https://swat.tamu.edu/ SWATisapublicdomainsoftwareenabledmodelactively supportedbytheUSDAAgriculturalResearchServiceatthe BlacklandResearch&ExtensionCenterinTemple,Texas,USA. 7. UTILITIES •SWATmodelisusedtorunhydrologicalmodelstogetwater balanceratioslike:streamflow-precipitationratio,baseflow-total flowratio,ET-precipitationratioetc. •Itprovidesmaximumuplandsedimentyield. •Inreservoirmodels,itprovidesaveragevaluesoftrapping efficiency,waterlosses,andreservoirtrends. •SWATmodelalsodealswithnitrogenandphosphoruscycles,plant growth,landscapenutrientlosses,landusesummary,instream processes,andpointsources. •Quantifyingtheimpactsfromlandusechangesontherunoffand modellingthelongtermimpactofmanagementpractices TheutilityofSWATmodelisextensivelyvastinallhydrologicalfield. 8. DataRequirement Theinputs,usedbythismodel,are- Dailyrainfalldata, Maximumandminimumairtemperature, Solarradiation, Relativeairhumidityand Windspeedused Usingthatdata,itisabletodescribewaterand sedimentcirculation,vegetationgrowthand nutrientscirculation.Basedonamountof precipitationandmeandailyairtemperaturerateof snowfallcanbedetermined. 9. Modelframework INPUTS Hydrological parameters Meteorological parameters DEMs LandUse/Land covermaps OUTPUTS SurfaceRunoff Evapo- Transpiration TotalFlow Infiltration SoilWater Assessment Tool (SWAT) 10. SimulationofSWAT hydrological parametersofa watershed LANDPHASEof Hydrologiccycle ROUTINGPHASE ofHydrologiccycle 11. SimulationofSWAT hydrological parametersofa watershed LANDPHASEof Hydrologiccycle ROUTINGPHASE ofHydrologiccycle 12. CalculationofRunoffvolume(LandPhase) SCS–CNMethod Runofffromthe catchment(Q) RetentionParameter(S) CurveNumber(CN) Range(0≤CN≤100) Ia=0.2*S 13. PeakRunoffrate(Qpeak) where C-runoffcoefficient i-meanintensity(mm/hr)of precipitationforaduration equalstotcandan exceedanceprobabilityP A–Subbasinarea(Km2) TimeofConcentration(Tconc) PeakRunoffrateMethod 14. OverlandflowTimeofconcentration(Tov) ChannelflowTimeofconcentration(Tch) ModifiedPeakRunoffrate(Qpeak) αtc=fractionofdailyrainfallthatoccursduringthetimeofconcentration 15. WaterBalanceapproach(SWAT-WB) Where EDC-effectivedepthofthesoil profile ε-totalsoilporosity θ-volumetricsoilmoistureforeach day Where Q–SurfaceRunoff P-Precipitation •IftheraineventisLARGERinvolumethanτ,thesoilwillsaturated andsurfacerunoffwilloccur •IftheraineventisLESSthanτ,thesoilwillnotbesaturatedandthere willbenosurfacerunoff 16. PenmanMonteith,Priestly-TaylorandHargreavesmethods areusedfortheestimationofevapotranspiration. 17. Inordertoobtainaccurateforecastingofwater,nutrientandsediment circulation,itisnecessarytosimulatehydrologiccyclewhichintegrates overallwatercirculationinthecatchmentareaandhencethemodelusesthe followingwaterbalanceequationinthecatchment. WhereSWtisthehumidityofsoil,SWoisbasehumidity,Rvisrainfall volumeinmmwater,Qsisthesurfacerunoff,Wseepageisseepageof waterfromsoiltounderlyinglayers,ETisevapotranspiration,Qgwis groundwaterrunoffandtistimeindays). Incaseofbaseflowcalculation, 18. SimulationofSWAT hydrological parametersofa watershed LANDPHASEof Hydrologiccycle ROUTINGPHASE ofHydrologiccycle 19. RoutingPhase Muskingumroutingmethod Variablestoragemethod SWATusesManning’sequationtodefinetherateand velocityofflow 20. SWAT Model Simulation Sensitivity Analysis&Model Calibration Model ValidationOutput Reading Reports Parameters Optimal Values HRU Definition Watershed Discretization Discharge Data Discharge Data GIS ProcessingInputData DEM Meteorol ogical data Weather TimeSeries SoilLandUse Locationof Weather Stations CompleteSWATModelProjectSetup 21. ProcedureToRunTheModel(StepbyStep) 22. SWATToolbar Step1:SWATProjectSetup Clickon‘SWATProjectSetup’ 23. Geodatabase (in*.mdbformat) CreationofSWATProject 24. Step2:WatershedDelineator OpenDEMSetup StreamDefinition Streamnetwork OutletandInletDefinition OutletSelectionand definition SubbasinParametersand AddReservoir 25. Step3:HRUAnalysis HydrologicResponseunitsareportionsofasubbasinthatpossess uniquelanduse/management/soilattributes. Inawatershed,thefirstlevelofsubdivisionisthesubbasinwhich willcontainatleastoneHRU,atributarychannelandamainchannel orreach.Asageneralrule,agivensubbasinshouldhave1-10 HRUs. 26. AnHRU(thetotalareainthesubbasinwithaparticular landuse,slopeandsoil)isnotsynonymoustoafield (Whileindividualfieldswithaspecificlanduse, managementandsoilmaybescatteredthroughouta subbasin),theseareasarelumpedtogethertoformone HRU. HRUsareusedinmostSWATrunssincetheysimplifya runbylumpingallsimilarsoilandlanduseareasintoa singleresponseunit.Itisoftennotpracticaltosimulate individualfields. 27. Step3:HRUAnalysis-.a.LandUse 28. https://earthexplorer.usgs.gov.in 29. Step3:HRUAnalysis-.b.Soil 30. Step3:HRUAnalysis-.c.Slope 31. Step3:HRUAnalysis;HRUDefinition 32. Step3:HRUAnalysis;HRUAnalysisReport 33. Step3:HRUAnalysis;HRUAnalysisReport 34. Step4:WriteInputTables 35. Step5:EditSWATInput 36. Step6:SWATSimulation 37. SWATOutputWindow 38. SWATCheckerWindow 39. SWATCheckerWindow 40. CaseStudy •HydrologicalmodelingoftheSimlyDamwatershed (Pakistan)usingGISandSWATmodel ShimaaM.Ghoraba ToestimatethevolumeinflowtotheSimlyDam,for developingefficientdecisionframeworktofacilitate,plan andaccessthemanagementofreservoir Objective 41. StudyArea Fig.1:LocationmapoftheSimlyDamwatershedareainPakistan 42. MaterialsandMethods DigitalElevationModel(DEM)ofthewatershedarea(a)Delineationofsub-basinsofwatershed;(b)Land usemap;(c)Soilmap;(d)Locationofweather stations 43. ResultsandDiscussion Fig.3.Annualobservedandsimulatedstreamflowforthecalibrationperiod(1990–2001). 44. Contd… Fig.4.Annualobservedandsimulatedstreamflowforthevalidationperiod(2002–2011). 45. Contd… Fig.5:Comparisonofannuallyobservedandsimulateddamoutflowforthecalibrationand validationperiod 46. Contd… Fig.6:Comparisonofmonthlyobservedandsimulatedstreamflowforthecalibrationperiod(1990–2001). 47. Fig.7:Comparisonofmonthlyobservedandsimulatedstreamflowforthevalidationperiod(2002-2011) Contd… 48. Fig.8:Averageannualwaterbalanceasarelativepercentagetoprecipitationforcalibrationandvalidationyears Fig.9:Comparisonofmonthlyobservedandsimulateddaminflowforthecalibrationandvalidationperiods. 49. Conclusions 1)InthisstudycalibratedSWATmodelhasbeenproduced goodsimulationresultswhereWaterbalancecomponents suchassurfacerunoff,lateralflow,baseflowand evapotranspirationhavebeensimulated. 2)ThemonthlyinflowtoSimlyDamestimatedbythemodel andthesimulatedvaluesshowsverycloseagreement (CoefficientofDetermination(R2),NSE). 3)Theperformancesofthemodelcanbeenhancedfurthermore byintegrationofsomeotherclimaticdatasuchassolar radiation,humidityandwind. 50. Themainweaknessofthemodelisanon-spatialrepresentation (site-specific,notrobustmodel)oftheHRUinsideeach subcatchment.Thisalsokeptthemodelsimpleandsupported applicationofthemodeltoalmosteverycatchment. Widerangeofdifferentdataneedstobeobtainedtorunthe modelandnumerousparametersneededtobemodifiedduring thecalibrationwhichneedsalotofpatiencetodealwith. Themodeldoesnotallowsimulationsofmulticulturalplant communitieswhicharecommoninorganicfarming,grasslands andforestsastheywereoriginallydevelopedformonocultures. LimitationsanddrawbacksofSWAT 51. SomeusershaveaddressedweaknessesinSWATbycomponent modifications,whichsupportmoreaccuratesimulationofspecific processesorregions,orbyinterfacingSWATwithothermodels.Bothof thesetrendsareexpectedtocontinue. TheSWATmodelwillcontinuetoevolveinresponsetotheneedsofthe everincreasingworldwideusercommunityandtoprovideimproved simulationaccuracyofkeyprocesses. Amajorchallengeoftheongoingevolutionofthemodelwillbe meetingthedesireforadditionalspatialcomplexitywhilemaintaining easeofmodeluse.Thisgoalwillbekeptinfocusasthemodel continuestodevelopinthefuture. Futuredevelopmentofthemodel 52. [1]Gassman,P.W.etal(2007).“Thesoilandwaterassesmenttool: histooricaldevelopment,applications,andfutureresearchdirections.” AmericanSocietyofAgriculturalandBiologicalEngineersISSN0001- 2351,Vol.50(4):1211-1250. [2]J.R.WilliamsandJ.G.Arnold.(2010)“HistoryofModel DevelopmentatTemple,Texas”Presentation. https://swat.tamu.edu/docs/swat/conferences/2010/presentations/Opening. Williams.pdf [3]GayathriKDevi,GanasriBP,DwarakishGS(2015).”AReviewon HydrologicalModels.”AquaticProcedia4(2015)1001–1007. www.elsevier.com/locate/procedia. [5]SWATManual.https://swat.tamu.edu/documentation/ [6]"SWAT:Soil&WaterAssessmentTool".TexasA&MUniversity.Retrieved1 March2012. References: Editor'sNotes Trappingeff.Ofsediment,nitrogenandphosphorousWATERLOSS%bytot.removed+losses,SeepageandEvaporationTrends:noofreservoirs.Final/initialvolume(max),Final/initialvolume(min),fractionofperiodempty(max) Configurationfile,soildata(.Sol),WeatherGeneratorData(.Wgn),HRU/DrainageData(.HRU/.Sdr)Operationdata,WatershedData ImplicitintheconceptoftheHRUistheassumptionthatthereisnointeractionbetweenHRUsinonesubbasin.Loadings(runoffwithsediment,nutrients,etc.transportedbytherunoff)fromeachHRUarecalculatedseparatelyandthensummedtogethertodeterminethetotalloadingsfromthesubbasin.Iftheinteractionofonelanduseareawithanotherisimportant,ratherthandefiningthoselanduseareasasHRUstheyshouldbedefinedassubbasins.Itisonlyatthesubbasinlevelthatspatialrelationshipscanbespecified.ThebenefitofHRUsistheincreaseinaccuracyitaddstothepredictionofloadingsfromthesubbasin.Thegrowthanddevelopmentofplantscandiffergreatlyamongspecies.Whenthediversityinplantcoverwithinasubbasinisaccountedfor,thenetamountofrunoffenteringthemainchannelfromthesubbasinwillbemuchmoreaccurate. Addthedatasourceoflandusecode 11likes × CarSambani Jul.03,2022 KristenCaldwell Dec.12,2021 Haveuevertriedexternalprofessionalwritingserviceslike⇒www.HelpWriting.net⇐?IdidandIammorethansatisfied. rawandoozgoran Oct.16,2021 PawanPant Sep.09,2021 ResearchScholaratG.B.PantUniversityOfAgric.andTech.Pantnagar at G.B.PantUniversityOfAgric.andTech.Pantnagar PrakashShinde Jul.07,2021 ShowMore Views × Totalviews 9,252 OnSlideShare 0 FromEmbeds 0 NumberofEmbeds 30 Youhavenowunlockedunlimitedaccessto20M+documents! × UnlimitedReading Learnfasterandsmarterfromtopexperts UnlimitedDownloading Downloadtotakeyourlearningsofflineandonthego YoualsogetfreeaccesstoScribd! Instantaccesstomillionsofebooks,audiobooks,magazines,podcastsandmore. Readandlistenofflinewithanydevice. FreeaccesstopremiumserviceslikeTuneln,Mubiandmore. 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