污水处理厂原始数据可靠性评价方法

第29卷第10期2009年10月环境科学学报ActaScientiaeCircumstantiaeVo.l29,No.10Oct.,2009基金项目:国家高技术研究发展计划(863)项目(No.2006AA06Z320);北京市/可持续水与废物循环利用技术0学术创新团队项目(No.BJE10016200611)SupportedbytheNationalHigh-TechR&DProgramofChina(No.2006AA06Z320)andtheFundingProjectforAcademicHumanResourcesDevelopmentinInstitutionsofHigherLearningundertheJurisdictionofBeijingMunicipality(No.BJE10016200611)作者简介:郝晓地(1960)),男,教授(博士),E-mai:lhaoxiaod@ibucea.edu.cn;*通讯作者(责任作者)Biography:HAOXiaodi(1960)),male,professor(Ph.D.),E-mai:lhaoxiaod@ibucea.edu.cn;*Correspondingauthor郝晓地,胡沅胜,王克巍.2009.污水处理厂原始数据可靠性评价方法[J].环境科学学报,29(10):2081-2085HaoXD,HuYS,WangKW,etal.2009.Evaluatingthereliabilityoforiginaldatafromwastewatertreatmentplants[J].ActaScientiaeCircumstantiae,29(10):2081-2085污水处理厂原始数据可靠性评价方法郝晓地*,胡沅胜,王克巍北京建筑工程学院可持续环境生物技术研发中心,北京100044收稿日期:2009-02-18修回日期:2009-05-04录用日期:2009-08-12摘要:利用生物营养物去除(BNR)实验室试验系统,建立了物料平衡关系矩阵,并借助于Macrobal软件对原始运行数据进行深入检查和可靠性评估.结果表明,物料平衡检查过程不仅能发现并修正测量中隐藏的大误差,准确地确定污泥龄(SRT);此外,还能得出COD的氧化量(OCCOD)、硝化量(Qnitr)、反硝化量(Qdeni)及氧的净消耗量(OCnet)等开放平衡数据.其中,准确的污泥龄(SRT)是获得良好模拟预测效果的关键,反硝化量(Qdeni)将为反硝化过程的校正提供可靠依据,氧的净消耗量(OCnet)可用于模型校正的最终检验过程.关键词:生物营养物去除(BNR);数学模拟;数据可靠性;物料平衡;Macrobal软件文章编号:0253-2468(2009)10-2081-05中图分类号:X703.1文献标识码:AEvaluatingthereliabilityoforiginaldatafromwastewatertreatmentplantsHAOXiaodi*,HUYuansheng,WANGKeweiTheR&DCenterforSustainableEnvironmentalBiotechnology,BeijingUniversityofCivilEngineeringandArchitecture,Beijing100044Received18February2009;receivedinrevisedform4May2009;accepted12August2009Abstract:Basedonalab-scaleBNR(biologicalnutrientremoval)experiment,amatrixofmassbalanceswassetupandasetoforiginaloperationaldatawascheckedfortheirreliabilitywiththehelpoftheMacrobalsoftwareprogram.Thecalculationofmassbalancescouldnotonlycheckgrosserrors,butalsoaccuratelydeterminetheSRT.Moreover,thefluxesofCODoxidation(OCCOD),nitrification(Qnitr),denitrification(Qdeni)andthenetconsumptionofoxygen(OCnet)couldbecalculated.AnaccuratelydeterminedSRTiskeytomakinggoodmodelpredictions;Qdenicanbeareliablereferenceforc