Page 5 - 《水资源与水工程学报》2022年第5期
P. 5

! 33 " ! 5 #                      & ' ( ) & * + , -                               Vol.33No.5
               2022 $ 10 %              JournalofWaterResources&WaterEngineering                 Oct.,2022

            DOI:10.11705/j.issn.1672-643X.2022.05.01


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                 HIJKL:X824   MNOPQ:A    MRSL:1672643X(2022)05000110
                            Watershedwaterqualityassessmentmethodbasedon

                                         roughsetandBayesiannetwork

                                             1
                                                                          3
                                                                                   4
                                                       2
                                     BAIYun,LIYong,ZHANGWanjuan,HEJia
              (1.SchoolofManagementScienceandEngineering,ChongqingTechnologyandBusinessUniversity,Chongqing400067,China;
              2.KeyLaboratoryofEnvironmentalPollutionMonitoringandDiseaseControl,MinistryofEducation,GuizhouMedicalUniversity,
             Guiyang550025,China;3.CollegeofEconomics&Management,NorthwestA&FUniversity,Yangling712100,China;4.Research
            CenterforEconomyofUpperReachesoftheYangtzeRiver,ChongqingTechnologyandBusinessUniversity,Chongqing400067,China)
                 Abstract:Accordingtotheintelligentcomplementarystrategy,anewwatershedwaterqualityassessment
                 methodbasedonroughset(RS)andBayesiannetwork(BN)waspresentedforthewaterqualityassess
                 mentcontainingincompleteanduncertaininformation.Firstly ,RSwasusedtoextractthemainfactorsaf
                 fectingwatershedwaterquality ,soastoobtaintheminimumattributereductionset,whichcanbeusedto
                 reducethemodellingcomplexity.Then ,theBNwasconstructedandtrainedbasedontheattributereduc
                 tionset,anditsnetworkstructureandconditionalprobabilitytablewereobtainedtorealizetheprobabilistic
                 decisionreasoningofwatershedwaterquality.Finally,themodelevaluationindexeswereusedtoanalyse
                 threewaterqualitymonitoringsectionsintheChongqingsectionoftheJialingRivertoverifythecorrectness
                 andeffectivenessofthismethod.Theresultsshowthatthismethodisapplicabletothewatershedwater
                 qualityassessment ,andhasthehighestaccuracy(>0.97),precision(>0.86),recall(>0.86),and
                 F1-measure(>0.86)comparedwithothermethods(BN,GRA-BN,RS-NB).Thismethodcan
                 provideaneffectivetechnicalsupportforthewaterenvironmentmanagementinthewatershed.
                 Keywords:waterqualityassessment;roughset(RS);Bayesiannetwork(BN);attributereduction;
                 uncertainty



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