Page 89 - 《水资源与水工程学报》2022年第4期
P. 89

!33 " ! 4 #                       & ' ( ) & * + , -                               Vol.33No.4
               2022 $ 8 %               JournalofWaterResources&WaterEngineering                 Aug.,2022

            DOI:10.11705/j.issn.1672-643X.2022.04.12


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                 FGHIJ:X52;TV877   KLMNO:A    KPQJ:1672643X(2022)04008506
                     Multiobjectiveevaluationmethodofbioretentionsystem basedon
                                   random forest -projectionpursuitmethod


                                                                               1
                                                              1,2
                                                 1,2
                                     1
                      CHENGQiming,CHENYao ,LIUZhen ,TANGYinghui,YUANShaochun                     1,2
                       (1.SchoolofRiverandOceanEngineering,ChongqingJiaotongUniversity,Chongqing400074,China;
                       2.EngineeringLaboratoryofEnvironmentalHydraulicEngineeringofChongqingMunicipalDevelopment
                              andReformCommission ,ChongqingJiaotongUniversity,Chongqing400074,China)
                 Abstract:Theperformanceofthebioretentionsystemissignificantlyaffectedbyplantsandsoilmedia,
                 anditsvariousdiversifiedperformanceindexesareincompatible.However,theconventionalevaluation
                 methodsareflawedbytheirstrongsubjectivity ,whichcouldeasilyleadtotheerrorsofevaluationresults.
                 Here ,therandomforest(RF)modelwasusedtoscreentheoriginaldatasoastoreducethedimension
                 alityofthedata.Then ,theprojectionpursuit(PP)modelwasconstructedtoevaluatethehydraulicper
                 meabilityandpollutantremovalperformanceofdifferentplantsandsoilmediaformultiobjectiveevalua
                 tion ,andthemodelwassolvedbygeneticalgorithm(GA)andparticleswarmoptimization(PSO).The
                 resultsofplantevaluationshowedthatCyperusalternifoliusL.wastheoptimalplantforthebioretention
                 system ,whichwassimilartotheresultsoftheanalytichierarchyprocessmodelandthebackpropagation
                 (BP)neuralnetworkmodel.TheevaluationresultsofsoilmediashowedthatRST2(9.8% loamy
                 sand+88.2% finesand+2.0% vermiculite )wastheoptimalsoilmediaconfigurationforthebioreten
                 tionsystem ,whichwassimilartotheconclusionoftheconventionalprojectionpursuitmethod.These
                 findingsindicatethatRF-PPmodelissuitableformultiobjectiveevaluationofthebioretentionsystem.
                 Keywords:bioretentionsystem;projectionpursuit(PP);randomforest(RF);multiobjectiveevalua
                 tion ;geneticalgorithm(GA);particleswarmoptimization(PSO)


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