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基于DEM和分形理论的沱江流域划分及河网提取.docx

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基于DEM和分形理论的沱江流域划分及河网提取 Title:BasinDivisionandRiverNetworkExtractioninTuojiangRiverBasinBasedonDEMandFractalTheory Abstract: Thedivisionofariverbasinplaysacrucialroleinefficientwaterresourcesmanagementandeco-hydrologicalstudies.ThisstudyaimstodividetheTuojiangRiverBasinintosub-basinsandextracttherivernetworkusingacombinationofDigitalElevationModel(DEM)andFractalTheory.TheDEMisusedtoobtaintheterrainparameters,whiletheFractalTheoryisemployedtoanalyzethecomplexityandconnectivityoftherivernetwork.TheresultsprovideinsightsintothehierarchicalstructureandcharacteristicsoftheTuojiangRiverBasin,whichcanbebeneficialforwaterresourcesmanagementandecologicalconservation. 1.Introduction: TheTuojiangRiverBasin,locatedinsouthwesternChina,isanessentialtributaryoftheYangtzeRiver.Understandingthespatialorganizationandcharacteristicsofthisriverbasiniscrucialforwaterresourcesassessment,floodcontrol,andecologicalconservation.Withadvancementsinremotesensingtechnologyandcomputationaltechniques,theintegrationofDEMandFractalTheorycanprovideacomprehensiveunderstandingoftheriverbasinanditsrivernetwork. 2.MaterialsandMethods: 2.1DataCollection: DEMdataofthestudyarea,includingtheelevation,slope,andaspect,areacquiredfromreputablesources.Otherrequireddatasuchaslandcover,soiltype,andrainfallintensityarealsocollectedforfurtheranalysis. 2.2BasinDivision: Thestudyareaisdividedintosub-basinsusingvarioustechniquessuchasthewatershedsegmentationalgorithmorpopularhydrologicalmodels.Thesetechniquesaccountforflowaccumulation,accumulationarea,andstreampowerindextodelineatethesub-basinswithdifferentdrainageareas. 2.3RiverNetworkExtraction: Therivernetworkisextractedusingthestreamextractionalgorithm,whichusestheflowaccumulationandgradientastheprimarycriteria.Thealgorithmemploysathreshold-basedapproachtodeterminethethresholdvaluefortheextraction.Thisthresholdvalueseparatesthestreampixelsfromthenon-streampixelsbasedonflowaccumulationandgradient. 2.4FractalAnalysis: Toanalyzethecomplexityandconnectivityoftheriverne