Département de génie civil et de génie des eaux, Université Laval, 1065 av. de la Médecine, Québec, Qc, Canada.
Water Sci Technol. 2012;65(5):823-32. doi: 10.2166/wst.2012.818.
Stormwater is polluted by various contaminants affecting the quality of receiving water bodies. Pathogens are one of these contaminants, which have a critical effect on water use in rivers. Increasing the retention time of water in stormwater basins can lead to reduced loads of pathogens released to the rivers. In this paper a model describing the behaviour of pathogens in stormwater basins is presented including different fate processes such as decay, adsorption/desorption, settling and solar disinfection. By considering the settling velocity distribution of particles and a layered approach, this model is able to create a light intensity, and particle and pathogen concentration profile along the water depth in the basin. A strong effect of solar disinfection is discerned. The model has been used to evaluate pathogen removal efficiencies in stormwater basins. It includes a population of particle classes characterized by a distribution of settling velocities in order to be able to reproduce stormwater quality and treatment in a realistic way.
雨水受到各种污染物的污染，影响受纳水体的水质。病原体就是这些污染物之一，它们对河流的用水有重大影响。增加雨水盆地中水体的滞留时间，可以减少病原体释放到河流中的负荷。本文提出了一个描述病原体在雨水盆地中行为的模型，包括不同的命运过程，如衰减、吸附/解吸、沉降和太阳消毒。通过考虑颗粒的沉降速度分布和分层方法，该模型能够在盆地的水深方向上创建光强、颗粒和病原体浓度分布。太阳消毒的效果非常显著。该模型已用于评估雨水盆地中病原体的去除效率。它包含一个颗粒类别的群体，其特征是沉降速度的分布，以便能够以现实的方式再现雨水水质和处理。
