Modeling in-sewer deposit erosion to predict sewer flow quality
Modeling in-sewer deposit erosion to predict sewer flow quality
复制标题
模拟下水道沉积物侵蚀以预测下水道流量质量
DOI：
--
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
A. Saul
中科院分区：
文献类型：
--
作者：
S. Tait;G. Chebbo;P. Skipworth;M. Ahyerre;A. Saul
高水平的悬浮固体通常在风暴的初始部分被观察到。现场证据表明，这些悬浮固体来自于在干旱和以前的潮湿天气期间积累的下水道沉积物床的侵蚀。现有污水管网模拟工具中的悬浮泥沙输移率模型利用了主要在河流环境中发展的不适当的输沙率关系。建立了一个可以解释细粒高有机质下水道沉积物侵蚀的过程模型。描述沉积物强度随深度增加的参数值是必需的。这些值是使用基于遗传算法的校准例程获得的，该例程确保悬浮泥沙浓度的模型模拟与在已知水力事件条件下在巴黎离散长度的下水道中收集的现场数据相对应。这些结果证明了该模型方法在模拟时变流侵蚀下水道中悬浮泥沙的大小和时间分布上的适用性。进一步的工作是开发技术，以使这种类型的模型能够在网络级别上应用。
High levels of suspended solids are typically observed during the initial part of storms. Field evidence suggests that these suspended solids derive from the erosion of in-sewer sediment beds accumulated during dry and previous wet weather periods. Suspended sediment transport rate models within existing sewer network modeling tools have utilized inappropriate transport rate relationships developed mainly in fluvial environments. A process model that can account for the erosion of fine-grained highly organic in-sewer sediment deposits has been formulated. Values of parameters describing the increase in deposit strength with depth are required. These values are obtained using a genetic algorithm based calibration routine that ensures model simulations of suspended sediment concentrations that correspond to field data collected in a discrete length of sewer in Paris under known hydraulic event conditions. These results demonstrate the applicability of this modeling approach in simulating the magnitude and temporal distribution of suspended in-sewer sediment eroded by time varying flow. Further work is developing techniques to enable the application of this type of model at the network level.