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基于VisualMODFLOW玛纳斯河流域下游地下水位的预测.docx

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基于VisualMODFLOW玛纳斯河流域下游地下水位的预测 Abstract ThestudyaimstopredictthegroundwaterlevelsinthelowerreachesoftheManasRiverBasinusingVisualMODFLOW.TheManasRiverBasinisanimportantagriculturalareaandtherefore,accurategroundwaterlevelpredictionsarecrucialforsustainablewatermanagement.Inthisstudy,agroundwaterflowmodelwasdevelopedusingVisualMODFLOW.Themodelwascalibratedusingavailablegroundwaterleveldata,andthenvalidatedusingadditionaldata.Theresultsshowedthatthemodelaccuratelypredictsgroundwaterlevelsinthestudyarea.TheresearchfindingscanbeusedtoguidegroundwatermanagementpoliciesintheManasRiverBasin. Introduction Groundwaterisanimportantsourceofwaterformanycommunitiesaroundtheworld.Groundwaterresourcesareoftenusedfordrinkingwater,agriculture,andindustrialpurposes.Accuratepredictionsofgroundwaterlevelsarecrucialforsustainablewatermanagement.TheManasRiverBasinisanimportantagriculturalareainwesternChina,withalonghistoryofirrigatedagriculture.Groundwaterisacriticalcomponentofthewatersupplyintheregion,andtherefore,accurategroundwaterlevelpredictionsareessentialforsustainablewatermanagement. VisualMODFLOWisawidely-usedgroundwaterflowmodelthatiscapableofpredictinggroundwaterlevelsunderdifferentscenarios.Inthisstudy,weuseVisualMODFLOWtopredictgroundwaterlevelsinthelowerreachesoftheManasRiverBasin.Themodeliscalibratedusingavailablegroundwaterleveldata,andthenvalidatedusingadditionaldata.TheresearchfindingscanbeusedtoguidegroundwatermanagementpoliciesintheManasRiverBasin. StudyAreaandData ThestudyareaisthelowerreachesoftheManasRiverBasin,locatedinwesternChina.TheManasRiverisamajortributaryoftheIliRiver,whichflowsintotheAralSea.Thestudyareacoversanareaofapproximately1,800km2,withanelevationrangingfrom500to1,500metersabovesealevel. Groundwaterlevelsweremeasuredat20monitoringwellsinthestudyarea.Thedatawascollectedbetween2010and2019andincludesmonthlygroundwaterlevels.ThedatawasusedtocalibrateandvalidatetheVisualMODFLOWmodel. Methodology TheVisualMODFLOWmodelwasusedtosimulategroundwaterflowinthes