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:1672643X(2022)04008506
Multiobjectiveevaluationmethodofbioretentionsystem 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
meabilityandpollutantremovalperformanceofdifferentplantsandsoilmediaformultiobjectiveevalua
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-PPmodelissuitableformultiobjectiveevaluationofthebioretentionsystem.
Keywords:bioretentionsystem;projectionpursuit(PP);randomforest(RF);multiobjectiveevalua
tion ;geneticalgorithm(GA);particleswarmoptimization(PSO)
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