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Modeling suspended sediment concentration in the stormwater outflow from a small detention pond

机译:模拟一个小型滞留池的雨水流出中的悬浮沉积物浓度

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摘要

Detention ponds constructed in urban areas should perform two major functions: reduce flood flows and improve quality of runoff by trapping sediments and related pollutants. Providing tools for an efficient and low data–demanding assessment of pond per- formance can greatly support sediment management at the small catchment scale. This paper adopts the approach of a continuously stirred tank reactor (CSTR) to model the sediment concentration in the stormwater outflow from a small detention pond located in an urbanized catchment. The model is developed and tested using data sets of seven rainfall–runoff–suspended sediment events. Good agreement between observed and estimated outflow from the pond is achieved for both hydrographs and sediment graphs in calibration and validation. Thus results indicate that the present model due to its low data demand can predict sediment graphs at the outlet from such low-volume reservoirs.
机译:在城市地区建造的蓄水池应发挥两个主要功能:减少洪水流量,并通过截留沉积物和相关污染物来提高径流质量。提供有效而低数据量的池塘性能评估工具可在小流域规模上极大地支持沉积物管理。本文采用连续搅拌釜反应器(CSTR)的方法来模拟位于城市集水区的小型滞留池的雨水流出中的泥沙浓度。该模型是使用七个降雨-径流-悬浮泥沙事件的数据集开发和测试的。在校准和验证过程中,水位图和沉积物图在池塘观察到的流出量和估计流出量之间都达到了良好的一致性。因此,结果表明,由于该模型的数据需求量低,因此可以预测此类小体积水库出口处的沉积物图。

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