LINHua-xing,GUANXiang-wei,DONGJin-bo,et al.Multi-objective Optimization of Separate Sewer Pumping Station Utilizing SWMM Model[J].China Water & Wastewater,2025,41(5):130-136.
基于SWMM模型的分流制污水泵站多目标优化
- Title:
- Multi-objective Optimization of Separate Sewer Pumping Station Utilizing SWMM Model
- Keywords:
- quality and efficiency improvement; urban drainage system; SWMM; sewage pumping station scheduling; NSGA-Ⅱ
- 摘要:
- 城市排水系统是维持水环境质量的关键基础设施之一。然而，城市老城区分流制排水系统存在的错接、漏接问题导致难以完全实现 “雨污分流”，从而致使污水溢流、河道“返黑返臭”、污水处理厂进水COD浓度偏低、泵站高位运行等问题。基于此，以镇江市某排水区域为研究对象，结合SWMM模型和NSGA-Ⅱ算法提出了一种城市污水泵站调度技术。通过将子汇水区接入污水管网并控制不渗透比例，模拟降雨对生活污水的渗透作用。在连续降雨场景下，通过算法寻优获得泵站最佳启动深度策略。经过优化后，在实现污水厂进水COD浓度提升至250 mg/L的基础上，节点积水累计时间减少26.2%，泵站能耗下降20.0%，提高了排水系统的运行性能。
- Abstract:
- The urban drainage system constitutes a critical infrastructure for sustaining water environmental quality. However, the misconnection and leakage issues within the separate sewer drainage system in the old urban area hinder the full realization of effective rainwater and sewage diversion. This results in several challenges, including sewage overflow, black and odorous river water, reduced COD entering wastewater treatment plants, and increased operational demands on pumping stations. In this study, a municipal sewage pumping station scheduling technology for a drainage area in Zhenjiang City was developed by integrating SWMM with NSGA-Ⅱ algorithm. The impact of rainfall infiltration on domestic sewage was simulated by integrating sub-catchment areas into the sewage network and regulating the proportion of impermeable surfaces. Under continuous rainfall scenarios, the optimal starting depth strategy for the pumping station was determined through algorithmic optimization. Following optimization, the influent COD of the wastewater treatment plant was increased to 250 mg/L. This resulted in a 26.2% reduction in the accumulation time of node water, a 20.0% decrease in the energy consumption of the pumping station, and an improvement in the operational performance of the drainage system.
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