Multi-cell water detention pond for improved storm water quality

雨水蓄水池在小城市和大城市都得到了广泛的应用。池塘收集周围地区的暴雨径流，当水在池塘中保留一段时间后，其排放到环境中(如河流)。这些池塘被用来帮助防止洪水泛滥，改善水质。池塘的设计是根据最佳管理实践进行的，然而，这些实践的制定并没有充分考虑池塘内的流动模式。众所周知，水流通过池塘的方式对泥沙和污染物的去除有很大影响。这项提案是为了测试一种新的多室雨水蓄水池的设计，该蓄水池是基于 池塘的计算流体力学模型。该设计预计将在降低维护成本的同时，提高池塘中沉积物和污染物的清除能力，超过现行标准。它的设计使得大多数沉淀物应该从池塘的第一个单元中排出，因此单元中的所有流体都将持续移动。池塘使用圆形电池内的漩涡运动，这是通过在每个电池的中心安装每个电池的出口来创建的。此外，池塘的管道设计使得电池可以很容易地脱机进行维护。为了测试设计，首先将创建多单元设计的水力模型，以评估单元中的流动条件。然后，将沉积物添加到水流中以评估沉积模式。然后将使用计算流体动力学(CFD)软件对其进行建模。然后，将使用现有池塘的流量、水质和泥沙沉积的测量来测试CFD在现场条件下的准确性。然后，这些指标将被用于评估将在 在现有池塘上看到的多细胞池塘。

Stormwater retention ponds are used extensively in both small and large municipalities. The ponds collect storm runoff from surrounding areas and, after the water is retained within a pond for some period, its discharge is released into the environment (e.g. a river). The ponds are used to help prevent flooding and to improve water quality. The ponds are designed according to best management practices, however these practices were not developed with due consideration to the flow patterns within the pond. It is known that the way the flow moves through the pond significantly influences how much sediment and pollutants are removed. This proposal is to test a new design for a multi-cell stormwater retention pond that was developed based on computational fluid dynamics modeling of the pond. The design is such that it is expected to increase sediment and pollutant removal in the ponds over current standards while lessening maintenance costs. It is designed so that most sediment should drop out in the first cell of the pond and so that all of the fluid within the cell will be moving continuously. The ponds use a vortex motion within the circular cells that is created by installing an outlet of each cell at the centre of each cell. Further, the piping of the ponds have been designed in such a way that a cell can easily be taking offline for maintenance. To test the design, first a hydraulic model of the multi-cell design will be created to assess the flow conditions in the cells. Then, sediment will be added to the flow to assess the deposition patterns. This will then be modelled using computational fluid dynamics (CFD) software. Measurements of flow, water quality, and sediment deposition from an existing pond will then be used to test the accuracy of the CFD for field conditions. These will then be applied to assess the water quality improvements that would be seen in the multi-cell pond over that seen at the existing pond.