ABSTRACT

Local real-time control (RTC) represents a potentially cost-effective solution for stormwater management in urban drainage systems. Existing methodologies to select the location of flow control devices (FCDs) are limited to single gate systems and are based on analysis of activated storage volume capacity, without considering hydrodynamic processes or rainfall characteristics. In this paper, a new genetic algorithm (GA)–based methodology is developed to determine the optimal location of multiple FCDs in urban drainage networks, when assessing RTC performance through hydraulic analysis. The methodology is tested on a case study network, where a high number of possible FCD location arrangements are tested and compared, and the RTC effectiveness in reducing combined sewer overflows has been evaluated over a range of design storm events. Results demonstrate the capability of the proposed method in selecting robust FCD placement strategies, for example when designing local RTC systems to meet specific performance criteria.

摘要

对于城市排水系统中的雨水管理，本地实时控制（RTC）是一种潜在的具有成本效益的解决方案。现有的选择流量控制装置（FCD）位置的方法仅限于单闸系统，并且基于对激活存储容量的分析，而不考虑流体动力过程或降雨特征。在本文中，当通过水力分析评估RTC性能时，开发了一种基于遗传算法（GA）的新方法来确定城市排水网络中多个FCD的最佳位置。该方法在案例研究网络上进行了测试，在该网络上测试并比较了许多可能的FCD位置安排，并且在一系列设计暴风雨事件中评估了RTC在减少下水道合并溢流方面的有效性。