基于小波变换-SG滤波融合算法的平寨水库场次洪水反推入库流量去噪研究

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中图分类号：TV1 文献标识码：A 文章编号：1001-9235（2025）07-0053-08

Abstract：Inresponsetoabnormalfuctuationsofwaterflowintheshapeofa"sawtoth"inthereverseinferenceofwaterbalance，a wavelettransform Savitzky-Golayfilterfusionalgorithmwasproposed.Thealgorithmfirstperformedwaveletdecompostionand thresholddenoisingpreprocessingontheresearchdatabysetingdiferentparametercombinations.Waveletbasisfunctionsand decompositionlevelswerethenselected.Basedonthis，theSavitzky-Golayfilterwasusedtoperformsecondarydenoisingonthe preprocesseddata，tofurtereliminateresidallow-leveloiseandimproveteoverallsmoingefect.inally，teinverseavelet transformwasemployedtoreconstructthecompletesignalprocess.Thewindowlengthandpolynomialorderwerefurtheroptimized throughdenoisingevaluationindicatorstoachevewavelettransformSavitzky-Golayflterfusiondenoising.Thismethodwasapplied tothehistoricalfloodeventsofngzhaiReservoirtoinfertheiflow，andtherelativeerroroffodpeak，peakimediercend smoothness were setasevaluation indicators.According totheresults，comparedwiththe fivepointthreeordersmothingmethod， slidingaveragemethod，andwavelettresholddenoisingmethod，thewavelettransformSGfilteringfusionalgorithmsignificantly improvesthesmoohnessanddenoisingefectwhileensuringthecharacteristicsofthereverseflowpeakinformationofteinflow.The researchresultsareof greatsignificancefortherefinedmanagementandoptimizedoperationofPingzhaiReservoirandserveasa

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Keywords：inboundtrafic;igzag;smothenoising;waveletthresholddenoisingmetod;waveletthreshlddenoisingmethod;fusior algorithm of wavelet transform and Savitzky-Golay filter

入库流量是水文预报、水库调度管理的重要参数之一。（剩余7566字）