[1]李江云,张选庆,胡子欣.城市雨水深隧系统多目标优化设计及运行[J].中国给水排水,2024,40(9):129-136.
　LIJiang-yun,ZHANGXuan-qing,HUZi-xin.Multi-objective Optimization Design and Operation of Urban Stormwater Deep Tunnel System[J].China Water & Wastewater,2024,40(9):129-136.
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城市雨水深隧系统多目标优化设计及运行

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第40卷 期数: 2024年第9期 页码: 129-136 栏目: 出版日期: 2024-05-01
Title:
Multi-objective Optimization Design and Operation of Urban Stormwater Deep Tunnel System
作者:
李江云， 张选庆， 胡子欣
（武汉大学 土木建筑工程学院，湖北 武汉 430072）
Author(s):
LI　Jiang-yun， ZHANG　Xuan-qing， HU　Zi-xin
（School of Civil Engineering， Wuhan University， Wuhan 430072， China）
关键词:
雨水深隧系统;  雨水管网;  多目标优化;  数值模拟;  遗传算法
Keywords:
deep tunnel drainage system;  storm sewer network;  multi-objective optimization;  numerical simulation;  genetic algorithm
摘要:
如何将城市雨水深隧系统和浅层雨水系统相结合，以充分发挥雨水深隧系统防洪排涝、削减初雨污染等作用，对于建设城市深隧系统意义重大。通过构建深隧系统与浅层管网耦合模型，以溢流总量、建设成本、抽排费用为目标函数，以闸门控制和深隧管径为优化变量，将罚函数与内涝风险相关联，建立基于NSGA-Ⅱ算法的雨洪深隧系统多目标优化模型，研究在满足水文水力、内涝风险及经济运行各项指标下的雨洪深隧设计和运行方案。以武汉市某排水区为例，利用基于GIS的快速建模及率定方法，建立浅层与深隧排水系统的耦合模型，采用NSGA-Ⅱ算法编程调用SWMM进行方案模拟及优化。结果表明，通过调整深隧直径、入流闸门调度，在满足经济性指标的前提下，可减少溢流节点、缩短内涝时间。
Abstract:
It is essential to combine the deep tunnel system with the upper storm sewer system in order to fully utilize deep tunnels in collecting stormwater, reducing flooding, and controlling initial rainwater pollution. By Constructing the coupled model of deep tunnel system and upper storm sewer network, a multi?objective optimization model for stormwater deep tunnel system was developed based on NSGA-Ⅱ algorithm. With the total overflow volume, project investment and pumping cost as its objective functions, the gate controlling and tunnel diameter were served as the optimization variables. Additionally, the penalty function was correlated with the risk of waterlogging. The design and operation scheme of deep tunnel system was investigated under the conditions of meeting the hydrological and hydraulic, waterlogging risk and economic operation indexes. Taking a drainage area in Wuhan City as an example, a coupled model was established by using GIS-based fast modeling and parameter rating methods. The NSGA-Ⅱ algorithm was then programmed to connect SWMM for scheme simulation and optimization. By adjusting the deep tunnel diameter and inlet gate scheduling, the number of overflow nodes could be reduced and the detention time could be shortened with good economic benefit.
更新日期/Last Update: 2024-05-01