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基于不同地质统计方法的渗透系数场生成及其对污染物运移的影响的中期报告.docx

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基于不同地质统计方法的渗透系数场生成及其对污染物运移的影响的中期报告 Introduction Groundwaterisapreciousnaturalresourcethatisvitalfordrinking,irrigation,andindustrialpurposes.However,groundwaterresourcesarevulnerabletopollutionfromvariousanthropogenicactivitiessuchasagriculturalpractices,industrialemissions,andwastedisposal.Themovementofpollutantsingroundwaterisacrucialfactorthatdeterminesthedegreeandextentofcontamination.Thepermeabilitycoefficientisanessentialpropertythatgovernsthemovementofgroundwaterandpollutants.Hence,studyingthevariabilityofpermeabilityanditsimpactonpollutanttransportiscrucialforeffectivegroundwaterresourcemanagementandpollutioncontrol. Objectives Theprimaryobjectiveofthisstudyistogeneratepermeabilitycoefficientfieldsusingdifferentgeostatisticalmethodsandcomparetheirimpactonpollutanttransportingroundwater.Thespecificobjectivesareasfollows: 1.Tocollectfielddataonpermeabilitycoefficientsfromdifferentregions. 2.ToanalyzethedatausingdifferentgeostatisticalmethodssuchasKriging,Co-Kriging,andSequentialGaussianSimulation(SGS)togeneratepermeabilitycoefficientfields. 3.Tousethegeneratedfieldsasinputparametersforanumericalgroundwatermodeltosimulatethetransportofahypotheticalpollutant. 4.Tocomparethepollutanttransportresultsobtainedfromdifferentpermeabilitycoefficientfieldsandassesstheirimpactongroundwatercontamination. Methodology Thestudycomprisestwomajorcomponents,namelythegenerationofpermeabilitycoefficientfieldsandthesimulationofpollutanttransportingroundwater.Themethodologyusedforeachcomponentissummarizedbelow. PermeabilityCoefficientFieldGeneration Thestudyareaisdividedintogridsofasuitablesize,andatotalofnfieldmeasurementsofpermeabilitycoefficientsarecollected.Thedataisanalyzedusingdifferentgeostatisticalmethods,namelyKriging,Co-Kriging,andSGS,togeneratepermeabilitycoefficientfields.ThegeneratedfieldsareevaluatedforaccuracyandcomparedwiththeoriginalfielddatausingstatisticalindicessuchasMeanAbsoluteError(MAE)andRootMeanSquareError(RMSE). SimulationofPollutantTransportinGroundwater A