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Sampling, testing and modeling particle size distribution in urban catch basins

机译:城市集水区的粒度分布采样,测试和建模

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The study analyzed the particle size distribution of particulate matter (PM) retained in two catch basins located, respectively, near a parking lot and a traffic intersection with common high levels of traffic activity. Also, the treatment performance of a filter medium was evaluated by laboratory testing. The experimental treatment results and the field data were then used as inputs to a numerical model which described on a qualitative basis the hydrological response of the two catchments draining into each catch basin, respectively, and the quality of treatment provided by the filter during the measured rainfall. The results show that PM concentrations were on average around 300 mg/L (parking lot site) and 400 mg/L (road site) for the 10 rainfall- runoff events observed. PM with a particle diameter of <45 mu m represented 40-50% of the total PM mass. The numerical model showed that a catch basin with a filter unit can remove 30 to 40% of the PM load depending on the storm characteristics.
机译:该研究分析了分别位于停车场和交通路口(交通活动水平较高)附近的两个集水池中的颗粒物(PM)的粒径分布。另外,通过实验室测试来评估过滤介质的处理性能。然后将实验处理结果和现场数据用作数值模型的输入,该模型定性地描述了排入每个集水区的两个集水区的水文响应以及在测量过程中过滤器提供的处理质量雨量。结果表明,在观测到的10个降雨径流事件中,PM浓度平均约为300 mg / L(停车场站点)和400 mg / L(道路站点)。粒径小于45微米的PM占总PM质量的40-50%。数值模型表明,根据暴风雨特性,带有过滤器的集水盆可以去除30%到40%的PM负荷。

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