ABR处理硫酸盐有机废水的BP神经网络建模韦添尹

78Vol．7No．820138ChineseJournalofEnvironmentalEngineeringAug．2013ABRBP*541004ABRBPABRBPNNtraingda1900。PCWSO2－4CODCOD、SO2－4、pH、COD/SO2－4HRTSO2－4CODpHSO2－4CODRI30．79%23．44%SO2－4COD。BPABRX703．1A1673-9108201308-2997-04Modelandsimulinkofanaerobicbaffledreactortreatingsulfateorganicwastewaterbasedonback-propagationneuralnetworkWeiTianyinJiangYongrongLiuKehuiLiuChengliangZhangWeiCollegeofLifeandEnvironmentalScienceGuilinUniversityofElectronicTechnologyGuilin541004ChinaAbstractTheback-propagationneuralnetworkBPNNtrainedwiththedatafromthesulfateorganicwastewatertreatmentofanaerobicbaffledreactorABRandanetworkmodelwasbuilt．Thebettertrainingfunc-tionandtimeswere‘traingda’and1900respectively．PartitionconnectionweightsPCWwasadoptedtoan-alyzethedominantfactorsofeffluentCODandSO2－4．TheresultsshowedthatallofthefactorsfeedCODSO2－4pHCOD/SO2－4andHRThadaninfluenceoneffluentCODandSO2－4．NeverthelessthefeedpHwasthedominantfactorwhichrelativeimportanceRIwere30．79%and23．44%respectively．ThemodelandsimulinkonrestrictivefactorsforCODandSO2－4removalwerebuiltrespectivelywhichcanbeusedforpredic-tiononsulfateorganicwastewatertreatment．KeywordsbackpropagationneuralnetworkcontainingsulfateorganicwastewatertreatmentanaerobicbaffledreactorABRmodelidentificationsimulinkPF110239PF120249PD12B089LD10071YLD12039BY2012－07－132012－11－011988～。[e-mail]*[e-mail]-torABR12。ABRABSRBCSBMPB、2。“”COD。ABR3。back-propagationneuralnetworkBPNN4-6。BPNNABRPCW7SO2－4COD7。1ABR。61．56L76．95L。53∶1。。75．8g/LMLVSS/MLSS=0．71/2。ABR4———AB、SRB、CSBMPB。4“”。ABR。S0、H2OCO2。COD、SO2－4、COD/SO2－4、HRTHRT41HRT26hCOD/SO2－42719COD800mg/L3400mg/LSO2－430mg/L180mg/L2HRT20hCOD/SO2－417COD3000mg/LSO2－4180mg/L31HRT18h42HRT16h。2BPNN2．18BPNNS。SSS2≥0Sfx=11+e－x。BPNN35-n-255COD、SO2－4、COD/SO2－4、HRTpH。n22CODSO2－4。9。。1～25。2．24、LM、10－320000．05。LM10－510－310－3。2．31～251500～2100100。33．11012。190012COD0．3%1．0%7SO2－401．4%。1CODTable1ForecastresultofCODremovalrate%91．892．20．497．997．60．3194．495．41．0295．994．91．0%。2SO2－4Table2ForecastresultofSO2－4removalrate%10099．20．898．61001．411001000299981．0%。89928ABRBP3．2partitionconnectionweightsPCW711rela-tiveimportanceRI。PCWPij=|wij×wj|1Qij=Pij∑nii=1Pij2Si=∑njj=1Qij3RI%=Si∑nii－1Si×100%4wijijwjj3。3CODSO2－43000mg/L180mg/LCOD、SO2－4、pHCOD/SO2－4HRTSO2－4CODpHSO2－4CODRI30．79%23．44%。ABRAB、SRB、CSBMPB。ABRpH、COD/SO2－4、CODSO2－4HRT。3SO2－4CODTable3Input-neuronscorrespondtoeffluentSO2－4andCODcorrelation%RISO2－4CODCOD10．8719．11SO2－415．0621．88COD/SO2－424．6415．64pH30．7923．44HRT18．6419．933．312BPNN4COD、SO2－4、pH、HRT。1。ABRHRT=26hpH=7．3SO2－495%。ABR1213。ABVFASRBSO2－414。1BPNNSO2－4Fig．1SimulinkmodelforSO2－4removalrateoffourfactorsbyBPNN2BPNNCODFig．2SimulinkmodelforCODremovalrateoffourfactorsbyBPNN2。COD/SO2－4COD/SO2－4≥15COD。ABSRB、、VFAMPBCOD15。COD/SO2－4VFAMPBCODCOD999272。COD/SO2－4SRBCSBMPBCOD。41BPABRBPNNtraingda190012COD1．0%7SO2－41．4%。2SO2－4CODCODSO2－43000mg/L180mg/LCOD、SO2－4、pHCOD/SO2－4HRTSO2－4CODpHSO2－4CODRI30．79%23．44%。3SO2－4COD、ABRSO2－4。1SaritpongteerakaK．ChaiprapatS．EffectofpHadjustmentbyparawoodashandeffluentrecycleratioontheperform-anceofanaerobicbaffledreactorstreatinghighsulfatewastewater．Bioresour．Technol．200899188987-89942．ABR．20103171544-1553JiangYongrongHuMingchengLiXuejunetal．Phaseseparationcharacteristicsofananaerobicbaffledreactortreatingorganicwastewatercontainingsulphate．Environ-mentalScience20103171544-1553inChinese3．．2005268347-348TongZhenghuanWangJingXuWeimingetal．Studyonartificialneuralnetworkinthesewagedisposalmodel．Chi-neseJournalofScientificInstrument2005268347-348inChinese4．BP．20062031-3WangXuhuiWangJinXuZhaoyietal．StudyontheapplicationofBPartificialneuralnetworkforwatertreat-mentprocess．EnergyEnvironmentalProtection20062031-3inChinese5．BP．2009391692-1696ZhouRongminLeiYanfeng．Simulationsofphosphorusre-movalbymagnesiumammoniumphosphateprocessbasedonBPneuralnetworkmodel．ChineseJournalofEnviron-mentalEngineering2009391692-1696inChinese6MaierH．R．DandyG．C．Neuralnetworksforthepre-dictionandforecastingofwaterresourcevariablesAre-viewofmodelingissuesandapplications．EnvironmentalModelingandSoftware2000151101-1247GarsonG．D．Interpretingneuralnetworkconnectionweights．ArtificialIntelligenceExpert19916747-518．MATLAB3．20099．MATLAB．200910．BP．200941662-66GuoLiangWangPengZhaoYing．WaterqualitythroughapplicationofBPneuralnetworkatSifangtai．JournalofHarbinInstituteofTechnology200941662-66inChinese11．-．2007XuYan．Investigationonmodelofacidogenic-sulfatere-ducingbioreactorsystemwithGANN．HarbinMaster’sDegreeThesisofHarbinUniversityofScienceandTech-nology2007inChinese12WangJianglongHuangYonghengZhaoXuan．Perform-anceandcharactericsofananaerobicbaffledreactor．BioresourceTechnology2004932205-20813．．2008302121-123YangJianLiDongweiLiDouetal．ResearchonthephaseseparationofanaerobicinABR．JournalofChongqingJianzhuUniversity2008302121-123inChinese14VossoughiM．ShakeriM．AlemzadehI．Performanceofanaerobicbaffledreactortreatingsyntheticwastewaterin-fluencedbydecreasingCOD/SO2－4ratios．Chem．Eng．Process20034210811-81615．．200425273-76WangAijieRenNanqiDuDazhongetal．Formationo