利用羽散模型对活性污泥污水处理厂的可活气溶胶进行模拟

Janet A. Holden, Lyndon R. Babcock
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引用次数: 4

摘要

由于可能对人类健康产生不利影响,对污水中空气中总活粒子(TVP)浓度排放的预测令人关注。本文介绍的工作是对利用环境数据开发羽散模型的可行性进行评估,该模型用于预测活性污泥污水处理厂附近空气中TVP的浓度。所使用的监测数据是在对位于芝加哥郊区的活性污泥污水处理厂附近居民的健康进行流行病学研究时收集的。探讨了两种建模方法:离散模型,如高斯羽散模型和统计模型。统计模型的结果已在其他地方报道过。高斯模型方法是有限的,因为无法测量排放率和微生物死亡率,而且估计它们的技术被证明是不充分的。死亡率通常表示为负变化率,但只发现了正系数。虽然微生物在某些条件下可能在空气中生长,但研究区有许多未确定的TVP来源,因此认为高背景TVP浓度是导致正系数的主要原因。在找到一种更好的方法来估计环境总可行衰变率和确定背景浓度之前,高斯羽散建模技术似乎并不能提供比统计建模更有用的方法来估计活性污泥污水处理厂顺风处的TVP浓度。相反,建模过程有助于识别当存在显著背景浓度时,将高斯羽流模型应用于地面源有氧生物排放的缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The use of plume dispersion modelling for viable aerosols from an activated sludge sewage treatment plant

Predictions of the emissions of airborne total viable particle (TVP) concentrations from sewage are of concern due to possible adverse human health effects. The work presented here is an assessment of the feasibility of using environmental data to develop a plume dispersion model for the prediction of airborne TVP concentrations in the vicinity of an activated sludge sewage treatment plant. The monitoring data used were collected during an epidemiology study of the health of residents in the vicinity of an activated sludge sewage treatment plant located in a suburb of Chicago. Two types of modelling approaches were explored: dispersion modelling such as the Gaussian plume dispersion model and statistical modelling. The results of the statistical model have been reported elsewhere. The Gaussian modelling approach was limited because emission rates and rate of microbial die-off could not be measured, and techniques for their estimation proved inadequate. The die-off rate is normally expressed as a negative rate of change, but only positive coefficients were found. Although microbial growth in air is possible under certain conditions, it is thought that high background TVP concentrations due to many undefined sources of TVP in the study area were chiefly responsible for the positive coefficients. Until a better method is found for estimating the ambient total viable decay rate and defining background concentrations, the Gaussian plume dispersion modelling technique does not appear to provide a more useful approach for estimating TVP concentrations downwind from an activated sludge sewage treatment plant than does statistical modelling. Rather, the modelling process served to identify deficiencies in the application of the Gaussian plume model to ground level source aerobiological emissions when there is a significant background concentration.

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