Page 202 - 《水资源与水工程学报》2023年第5期
P. 202

! 34 " ! 5 #                      & ' ( ) & * + , -                               Vol.34No.5
               2023 $ 10 %              JournalofWaterResources&WaterEngineering                 Oct.,2023

            DOI:10.11705/j.issn.1672-643X.2023.05.23


                         'P GAMLSS-GLOoB"Ÿ‹Ã¸U

                                          ‘ƒ,ˆtKh$ò


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                 BCD: –ú]Ô6; ª«¦§;GAMLSS ‘; Ÿ Óz%; a£IJ
                 EFGHI:TV641   JK7LM:A    JNOI:1672643X(2023)05019809
                           Seepagemonitoringmodelofearth-rockdam basedon
                                GAMLSS -GLOandrandom forestalgorithm


                                                                                    1
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                                                                                              1
                                        1
                                                   1
                          ZHAOMingzhe,FANMu,SHENLifeng,ZHAOPeishuang,MAJun,
                                               1
                                                                                        2
                                                                         1
                                                           1
                                TANGXiaosong,LUOHang,SONGBoxu,NIEBingbing
                           (1.NuozhaduPowerPlantofHuanengLancangRiverHydropowerInc.,Puer665005,China;
                                   2.HuanengLancangRiverHydropowerInc.,Kuming650214,China)
                 Abstract:Thekeyproblemsoftheseepageflowmonitoringofearth-rockdamsarehowtoclarifythein
                 fluenceofwaterlevel,rainfallandotherfactors,howtosimulatetherealseepageflowandevaluatethe
                 resultsoftheseepagemonitoringbasedontheprototypeobservation.Inviewofthis ,aregressionmodel
                 ofseepageflowandupstreamanddownstreamwaterlevelsisestablishedundertheconditionofnorainfall
                 usingtherandomforestalgorithmandtheprinciplesofmathematicalstatistics.Regardingtothecompre
                 hensiveinfluenceoftheseepageflowontheaccumulatedrainfallintheearlierperiod ,theGeneralized
                 AdditiveModelsforLocation,ScaleandShapeofGeneralizedLogisticDistribution(GAMLSS-GLO)is
                 introducedtosimulatethefluctuationintervalsofthemonitoringvaluesofseepageflowundertheinflu
                 enceofrainfall.Then ,GAMLSS-GLOissuperimposedwiththeseepageflow-waterlevelregression
                 modeltopredictthereliableintervalsoftheseepageflow.Finally ,themethodisappliedtotheseepage
                 monitoringofthecorewallearth-rockdaminNuozhaduReservoir.Theresultsshowthattheproposed
                 methodshowsgoodapplicabilitytothewaterlevelandrainfallresponseofseepageflow ,itcansignifi
                 cantlyimprovethequalityofseepagesimulationprediction ,andsolvetheconfidenceintervalsofseepage
                 flow,whichisconducivetojudgingtheoperationconditionandsafetymonitoringofearth-rockdams.
                 Keywords:seepageflowofearth-rockdam;regressionanalysis;GAMLSSmodel;randomforestalgo
                 rithm;intervalprediction

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