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极端降雨与面源污染引起的城市水问题日益突出，在雨水基础设施建设和运行过程中，调蓄池的优化配置与调控对减少泵站耗能、降低雨水径流污染、提高运行效率等方面具有重要意义。对此，梳理了雨水调蓄池关键参数设计程序及优化方法；识别了多目标雨水调蓄池区域优化配置关键路径；模型预测控制策略(MPC)的不确定性、动态风险评估控制策略(DORA)变量的控制、深度强化学习控制策略(DRL-RTC)的数据校准与可解释性，是当前实时控制面临的主要难点。研究结果可为构建暴雨实时控制系统及投资环境效益比最优化体系提供参考。
Abstract：Urban water issues caused by extreme rainfall and non-point source pollution are becoming increasingly prominent. In the construction and operation of stormwater infrastructure, optimization configuration and regulation of storage tanks is essential for reducing energy consumption at pump stations, mitigating stormwater runoff pollution, and enhancing operational efficiency. This paper outlines the design procedures and optimization methods for the key parameters of stormwater storage tanks, and identifies the critical paths for the regional optimization configuration of multi-objective storage tanks. The uncertainties of model predictive control strategies(MPC), the control of variables in dynamic risk assessment control strategies(DORA), and the data calibration and interpretability in deep reinforcement learning control strategies(DRL-RTC) are the main challenges faced in real-time control at present. The findings offer references for establishing real-time control systems for heavy rainfall and optimizing the investment-environment benefit ratio.
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基本信息:
DOI：10.20040/j.cnki.1000-7709.2025.20241771
中图分类号:TU992;X52
引用信息:
[1]蒋春博,韩巧慧,张阳烜等.雨水调蓄池优化设计与实时控制综述[J].水电能源科学,2025,43(08):23-26+36.DOI:10.20040/j.cnki.1000-7709.2025.20241771.
基金信息:
陕西省秦创原“科学家+工程师”队伍建设(2022KXJ-115)