流域水文模型參數(shù)優(yōu)化問(wèn)題研究.pdf

1、河海大學(xué)碩士學(xué)位論文流域水文模型參數(shù)優(yōu)化問(wèn)題研究姓名：欒承梅申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：水文學(xué)及水資源指導(dǎo)教師：梁忠民20050501AbstractTheparametersofhydrologiccalmodelswhetherconceptualmodeIsordistributedmodels，arebasedonconceptualrepresentationsofthephysicalprocessesHowever，dueto

2、di街cultyinmeasuringtheparametersdirectlyweCallonlydependonthesystemmethodstodetermine恤emTheemphasisofthisPaperisautomaticcalibrationofHydrologicmodeisTherearctwokindsofmethodstocalibratetheparameters：manualcalibrationand

3、traditionaloptimizationalgorithmsThemannalcalibrationrequiresdetailedunderstandingofthemodel，whichcanonlybeobtainedthrou【g血manycalibrationexperiencesMoreoverthismethodisquitelysubjectiveMostofthetraditionaloptimizational

4、gorithmsare10caloptimizationmethods，SOhowtofindaglobaloptimizationmethodbecomesthehotspotofHydrologicmodelcalibrationstudiesoncalibratingtheparametersoftheXinanjiangmodelSacramentomodelandtheTc)pmodelmodelaremadebyUSingt

5、hegeneticalgorithmandSCE—UA(shufflecomplexevolution、mothodItincludesthreemainpartsFirstlymannalmethodisusedtocalibratetheXinanjiangmodelSacramentomodelandTopmodels’parametersmanuallycomparetheca／culatedresultsandtheobser

6、vedresultsanddetermineasetofparametersSecondlytherangeofeachparameteriSgivenonthebasisoftheresultsbv訂ialanderrormethodandprovidedforthegeneticalgorithmandSCEUAwaystOcalibratethemodelsFinally，thecomparisonismadeamongthere

7、sultsofthethreemethodsTheresultsshowthattheautomaticcalibrationcanconquerthedisadvantagesofthemanilalcalibration，whicharetime—consumingandsubjectiveAccordingtothedeterminedcoefficientofeachfloodtheprecisionofSCEUAisthehi

8、ghestamongthethreemethodsTheprecisionofthegeneticalgorithmMethodissecondandthepresicionofthemanualcalibrationiSlowestTheparametersgainedbythegeneticalgorithmandSCE—UAmethodsCanaccordwiththephysicalmeaningwellandhaveinstr