洪水预报模型的参数优选与实时校正技术分析

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1、华中科技大学硕士学位论文thecoreofthealgorithmtoimprovetheconvergencespeedandthecalculationefficiencyofthealgorithm.Thispapermainlyfocusesonthecomparisonofthetwoalgorithms’affectforflashfloodforecastingaccuracy.TheresultsshowthatscreeningsoffloodpeakbytheMOSCDEthemulti-objectiveoptimizationmethod

2、forthecalculationofthequalifiedrateandpeaktimequalifiedrateoftwoindicatorshavebeenimprovedsignificantly.Therefore,multi-objectiveMOSCDEoptimizationmethodforrunoffpredictionintheupperreachesofFenheRiverhasabetteradaptabilityandcanprovidesupportforregionalfloodforecastinparameteroptimi

3、zation.（3）BasedonthebasicideaofKalmanfilter,thesigmapointKalmanfilteringmethodwasusedtocorrectetheflashfloodforecastingresultsinrealtime,andtheprecisionoffloodforecastwasfurtherimproved.Afterthereal-timecorrection,backcourtfloodevaluationindexessuchasthequalifiedrateoffloodpeakandflo

4、odthedeterminationcoefficienthavebeenobviousimprove.Sotheintroductionofreal-timecorrectiontechnologyforfloodforecastofflashfloodscanprovidereliablebasisforfloodtimelyandaccuratewarning.Keywords:ShuangChaoHydrologicalModel,ParameterOptimization,SCE-UAalgorithm,MOSCDEalgorithm,Kalmanfi

5、lterIII华中科技大学硕士学位论文目录摘要................................................................................................................IAbstract............................................................................................................II目录............................

6、.................................................................................IV1绪论.............................................................................................................11.1研究背景及意义..............................................................................

7、...............................11.2国内外发展过程及研究现状.........................................................................................11.3论文主要研究内容与技术路线.....................................................................................52流域产汇流模型研究...................................

8、............