水厂快滤过程动态模型的建立与识别

MODEL DEVELOPMENT AND IDENTIFICATION OF RAPID FILTRATION PROCESSES

作为构建国家饮用水安全风险评估框架的一部分 ,开发了一种用于风险评估的水厂快滤过程动态模型。该模型通过对扩散、生物降解、吸附、脱附和反冲洗等过程的概化 ,建立了可模拟不同污染物的普适性水厂快滤动态模型。本模型以实际水厂的现场监测数据为依托 ,以CODMn、氨氮、浊度和微生物为例对模型进行了率定。结果表明模型较好地吻合了实际快滤过程。该模型将可有效地应用于评估不同过滤过程去除各种污染物的风险 ,以及识别饮用水安全风险关键控制点的工作。

This paper is part of a national framework for systematically assessing water safety risks, yet with focus only on the simulation of the rapid filtration process.The filtration process is described by a dynamic and conceptual model, represented by partial differential equations, and the simulated components include COD Mn ,NH 3 N, turbidity and microorganisms. The simulated sub processes included diffusion, biodegradation, sediment, adsorption, desorption and backwash.The model is calibrated by a set of field data from a large waterworks in the south of China,where contamination of drinking water resources is notable.The results reveal that the model fits the observed data quite well and is satisfactory for its future application.