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传统给水处理厂氯消毒模型的开发与应用
引用本文:孙傅,陈吉宁,佟庆远,曾思育.传统给水处理厂氯消毒模型的开发与应用[J].环境科学,2007,28(1):152-155.
作者姓名:孙傅  陈吉宁  佟庆远  曾思育
作者单位:清华大学环境科学与工程系,北京,100084;清华大学环境科学与工程系,北京,100084;清华大学环境科学与工程系,北京,100084;清华大学环境科学与工程系,北京,100084
基金项目:国家自然科学基金项目(50238020)
摘    要:以建立给水处理过程的风险分析方法为目标,提出了适用于传统给水处理工艺的氯消毒概率机理模型.模型既考虑氯消毒过程中有机物、余氯、氨氮、溴离子之间化学反应,又考虑水厂混凝、沉淀和过滤工艺过程中的物理和生物作用.典型水厂的现场监测数据表明,该模型能够较好地模拟水厂中高锰酸盐指数、氨氮以及4种三卤甲烷的浓度概率分布.Monte Carlo模拟的结果表明,与我国城市供水水质标准相比,该水厂高锰酸盐指数和单种三卤甲烷的超标概率极低,但总三卤甲烷的超标概率略高,约为2.3%.

关 键 词:氯消毒  概率机理模型  三卤甲烷  超标概率
文章编号:0250-3301(2007)01-0152-04
收稿时间:2006/2/11 0:00:00
修稿时间:4/9/2006 12:00:00 AM

Development and Application of a Chlorine Disinfection Model for a Conventional Waterworks
SUN Fu,CHEN Ji-ning,TONG Qing-yuan and ZENG Si-yu.Development and Application of a Chlorine Disinfection Model for a Conventional Waterworks[J].Chinese Journal of Environmental Science,2007,28(1):152-155.
Authors:SUN Fu  CHEN Ji-ning  TONG Qing-yuan and ZENG Si-yu
Institution:Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China
Abstract:Aiming at a method of risk analysis for drinking water treatment, a statistical conceptual model was developed to simulate the chlorination disinfection processes in a conventional waterworks. The model involved the chemical reactions among organic matter, chlorine residuals, ammonia nitrogen and bromide as well as the physical and biological mechanisms in the coagulation-flocculation, sedimentation and post-chlorination processes. Field data from a typical waterworks demonstrated that the model could well predict the probability distribution of the concentration of permanganate index, ammonia nitrogen and four kinds of trihalomethanes (THMs). A Monte Carlo simulation showed that the violation probability of permanganate index and each THM of the effluent of the waterworks is extremely low as compared with the water quality standards for urban water supply in China, however that of the total THMs is relatively higher and about 2.3%.
Keywords:chlorination disinfection  statistical conceptual model  trihalomethanes  violation probability
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