首页|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

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

扫码查看
[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GB 51345-2018《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.
Multi-objective Optimization of Combined Gray-green Infrastructure Rainwater System for Yuhuazhai Depot of Xi'an Metro
[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 infra-structure 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 optimiza-tion algorithm,the Matlab software is used to optimize the configuration of the green infrastructure within the depot in or-der to achieve effective control over the total runoff volume,peak flood,TSS(total suspended solids)and costs.[Result& Conclusion]Through multi-objective optimization and com-parison,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.

urban rail transitdepotgray-green combina-tion rainwater system schememulti-objective optimization

吕嘉杰

展开 >

南方科技大学环境学院,518055,深圳

城市轨道交通 车辆段 灰绿组合雨水系统方案 多目标优化

2025

城市轨道交通研究
同济大学

城市轨道交通研究

北大核心
影响因子:0.689
ISSN:1007-869X
年,卷(期):2025.28(1)