西安地铁鱼化寨车辆段灰绿组合雨水系统方案多目标优化
吕嘉杰
Multi-objective Optimization of Combined Gray-green Infrastructure Rainwater System for Yuhuazhai Depot of Xi’an Metro
LYU Jiajie
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作者信息:南方科技大学环境学院，518055，深圳
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Affiliation:School of Environment, Southern University of Science and Technology, 518055, Shenzhen, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2025.01.031
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中图分类号/CLCN:U279.1
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栏目/Col:研究报告
摘要:
［目的］城市化进程的加快，城市洪涝灾害的频发，对城市轨道交通车辆段雨水系统提出了更高的要求，需对车辆段雨水系统方案进行详尽研究。［方法］基于灰色基础设施与绿色基础设施组合管理雨水的概念，利用SWMM（暴雨洪水管理模型）水文模拟软件对西安地铁3号线鱼化寨车辆段多种组合方案下的水文过程进行模拟。通过响应面法设计了多目标优化方法，结合粒子群优化算法，使用Matlab软件对车辆段内的绿色基础设施进行优化配置，以实现对径流总量、洪峰、TSS（总悬浮物颗粒）及成本的有效控制。［结果及结论］通过多目标优化比选，确定了西安地铁鱼化寨车辆段最优的灰绿组合雨水系统方案，特别是透水铺装与调蓄池的组合布置，应在车辆段内优先考虑。该方案在满足GB51345—2018《海绵城市建设评价标准》要求的同时，也实现了经济效益的最大化。
Abstracts:
［Objective］ Acceleration of the urbanization process and frequent occurrence of urban flood disasters impose higher requirements on the rainwater system of urban rail transit depots. It is necessary to conduct a detailed study on the schemes of the depot rainwater system. ［Method］ Based on the rainwater management concept by combining gray infrastructure and green infrastructure, the hydrological simulation software SWMM (storm water management model) is used to simulate the hydrological processes under various combination schemes for Yuhuazhai Depot of Xi’an Metro Line 3. A multi-objective optimization method is designed through the response surface method. Combined with the particle swarm optimization algorithm, the Matlab software is used to optimize the configuration of the green infrastructure within the depot in order to achieve effective control over the total runoff volume, peak flood, TSS (total suspended solids) and costs. ［Result & Conclusion］ Through multi-objective optimization and comparison, the optimal gray-green combination rainwater system scheme for Yuhuazhai Depot of Xi’an Metro is determined. In particular, the combined layout of permeable pavements and retention ponds should be given priority within the depot. This scheme not only meets the requirements of GB 51345—2018 Assessment Standard for Sponge City Construction Effect, but also maximizes the economic benefits.
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