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用于三卤甲烷模拟的综合自来水厂模型的开发与识别。

Development and identification of an integrated waterworks model for trihalomethanes simulation.

作者信息

Sun F, Chen J, Tong Q, Zeng S

机构信息

Department of Environmental Science and Engineering, Tsinghua University, 100084 Beijing, China.

出版信息

Sci Total Environ. 2009 Mar 1;407(6):2077-86. doi: 10.1016/j.scitotenv.2008.11.017. Epub 2008 Dec 9.

DOI:10.1016/j.scitotenv.2008.11.017
PMID:19081127
Abstract

To evaluate the impact that new trihalomethanes (THMs) regulations will have on the performance of conventional waterworks in China, we developed an integrated waterworks model to simulate the dynamic behavior of THMs and other associated components, e.g. organic matter, ammonia, and residual chlorine, throughout the conventional water treatment process, which included pre-chlorination, coagulation-flocculation, sedimentation, filtration and post-chlorination. A comprehensive kinetic scheme that takes into account both the physical and biological mechanisms involved in the water treatment processes and the chemical reactions that result from chlorination was proposed for model conceptualization. In addition, the Petersen matrix was designed to present the model and formulate the mass balance equations for the model variables. The model was then identified using the Hornberger-Spear-Young (HSY) algorithm and tested against field data from the Qingzhou Waterworks in Macao, China. Despite gross uncertainty associated with the field data, the model could generally provide good predictions of the simulated variables and meet the management purposes. Furthermore, the identified model parameters agreed well with values that were reported in the literature and could be reasonably interpreted.

摘要

为评估新的三卤甲烷(THMs)法规对中国传统自来水厂运行的影响,我们开发了一个综合自来水厂模型,以模拟整个传统水处理过程(包括预氯化、混凝絮凝、沉淀、过滤和后氯化)中三卤甲烷及其他相关成分(如有机物、氨和余氯)的动态行为。提出了一个综合动力学方案用于模型概念化,该方案考虑了水处理过程中涉及的物理和生物机制以及氯化产生的化学反应。此外,设计了彼得森矩阵来展示模型并为模型变量制定质量平衡方程。然后使用霍恩伯格 - 斯皮尔 - 扬(HSY)算法对模型进行识别,并根据中国澳门青州自来水厂的现场数据进行测试。尽管现场数据存在很大不确定性,但该模型总体上能够对模拟变量提供良好的预测,并满足管理目的。此外,识别出的模型参数与文献报道的值吻合良好,且能够得到合理的解释。

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