首页|基于GIS和SWMM的西安市北郊片区排涝模拟与排水系统优化

基于GIS和SWMM的西安市北郊片区排涝模拟与排水系统优化

扫码查看
为解决西安市北郊河道超载风险问题,通过 SWMM和 GIS 技术构建管网-泵站-河道耦合模型,在不同设计降雨重现期(1、2、5、10、20、50 年)下对该区域排水系统进行模拟,进而分析下游河道水位变化规律并提出雨水分流调配与调整泵站调度的协同优化措施.结果显示:在 5、10、20和 50 年降雨重现期下,随着降雨峰值的到达,整个系统 88%的排口都存在顶托现象,最长持续时间160 min.在重现期为 1、2、5 和 10 年降雨条件下,协同优化的措施使得河道峰值流量分别下降了17.6%、4.9%、3.7%和 2.6%,河道水位平均下降了 35 cm,排水系统的超载节点分别减少了16.7%、31.4%、34.2%和 27.5%,超载管段的数量分别减少了 25.0%、28.6%、30.8%和 25.3%.
Drainage simulation and drainage system optimization in the northern suburbs of Xi'an city based on GIS and SWMM
In order to solve the problem of river overload risk in the northern suburb of Xi'an,a coupling model of pipe network,pumping station and river course was constructed by SWMM and GIS technology,and the drainage system in this area was simulated under different design rain-fall return periods(1,2,5,10,20 and 50 year),and then the variation law of water level in the downstream river course was analyzed,and the cooperative optimization measures of rainwater di-version and deployment and adjusting pumping station scheduling were put forward.The results show that 88%of the drainage outlets in the whole system have jacking phenomenon with the arri-val of the peak rainfall in the rainfall return periods of 5,10,20 and 50 year,and the longest dura-tion is 160 min.Under the rainfall conditions with return periods of 1,2,5 and 10 year,the peak flow of the river decreased by 17.6%,4.9%,3.7%and 2.6%respectively,the average water level of the river decreased by 35 cm,the overloaded nodes of the drainage system decreased by 16.7%,31.4%,34.2%and 27.5%respectively,and the number of overloaded pipe sections decreased by 25.0%,28.6%,30.8%and 25.3%respectively.

SWMMUrban flood preventionGISRain and flood simulationDrainage system optimizationRainwater pumping station

杨利伟、刘家华、周煜欣、邢雯雯、陈宏伟、赵传靓、路鹏、韩诚

展开 >

长安大学建筑工程学院,西安 710064

中国建筑设计研究院有限公司,北京 100044

SWMM 城市防涝 GIS 雨洪模拟 排水系统优化 雨水泵站

国家重点研发计划项目

2018YFE0103800

2024

给水排水
亚太建设科技信息研究院,中国建筑设计研究院,中国土木工程学会

给水排水

CSTPCD北大核心
影响因子:0.8
ISSN:1002-8471
年,卷(期):2024.50(3)