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基于SWMM模型的雨水管网改造方案优化研究
引用本文:张士官,吕谋,焦春蛟,宋杰.基于SWMM模型的雨水管网改造方案优化研究[J].水电能源科学,2020,38(2):114-117.
作者姓名:张士官  吕谋  焦春蛟  宋杰
作者单位:青岛理工大学环境与市政工程学院,山东青岛266033;青岛理工大学环境与市政工程学院,山东青岛266033;青岛理工大学环境与市政工程学院,山东青岛266033;青岛理工大学环境与市政工程学院,山东青岛266033
基金项目:国家自然科学基金项目(51478230)
摘    要:基于雨洪模型SWMM模拟某老城区雨水管网现状,分析检查井节点溢流与管网荷载状况,分别提出传统改造方案(改变管径(方案1)、改变下垫面性质(方案2))及与海绵理念相结合方案(改变管径+LID即方案3)。在2年降雨重现期下,基于3种方案对管网节点溢流状态进行定量分析。结果表明,3种改造方案均能不同程度地改善区域内涝,其中海绵理念方案缓解节点溢流效果最优。进一步模拟高降雨重现期下(P=5、10年)管网优化效果,发现改变管径+LID方案(方案3)持续有效,较为理想。

关 键 词:SWMM模型  雨水管网优化  节点溢流  LID

Study on Optimization of Rainwater Pipe Networks Reconstruction Scheme Based on SWMM Model
ZHANG Shi-guan,LV Mou,JIAO Chun-jiao,SONG Jie.Study on Optimization of Rainwater Pipe Networks Reconstruction Scheme Based on SWMM Model[J].International Journal Hydroelectric Energy,2020,38(2):114-117.
Authors:ZHANG Shi-guan  LV Mou  JIAO Chun-jiao  SONG Jie
Affiliation:(School of Environmental and Municipal Engineering,Qingdao University of Technology.Qingdao 266033,China)
Abstract:The SWMM model was used to simulate the current situation of rainwater pipe networks in an old urban area. The overflow of inspection well nodes and the load of pipe networks were analyzed. The traditional transformation scheme (changing the pipe diameter (scheme 1), changing the nature of underlying surface (scheme 2)) and the combination scheme with sponge concept (changing the pipe diameter + LID, namely, scheme 3) were proposed respectively. Under the 2-year rainfall return period, the quantitative analysis of the overflow state of the nodes in the pipe networks was carried out based on the three schemes. The results show that the three schemes can improve the regional waterlogging in varying degrees, and the sponge concept scheme has the best effect in relieving the node overflow. Further simulation of pipe networks optimization effects under high rainfall return period (P=5 a, 10 a), it is found that the change of pipe diameter + LID scheme (scheme 3) is effective and more ideal.
Keywords:SWMM model  rainwater pipe networks optimization  node overflow  LID
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