首页|基于GWO-PSO算法的小尺度地区LID布设优化模型研究

基于GWO-PSO算法的小尺度地区LID布设优化模型研究

扫码查看
[目的]海绵城市通过低影响开发(LID)雨水系统来降低降雨相关灾害的影响,合理的LID布设方案是开发效果的决定性因素。[方法]通过耦合暴雨洪水管理模型(SWMM)和灰狼粒子群算法(GWO-PSO),建立了小尺度地区LID优化布设模型。GWO-PSO算法中粒子进行了基于社会等级制度的位置策略调整,以此得到更好地寻优性能。模型依据排放口流量,完成参数自动率定,并以洪峰流量为目标,经济成本为约束,求解雨水花园、生物网格、绿色屋顶和透水铺装四种包含相互独立与制约关系的LID设施的优化布设方案。[结果]将该模型应用于某试点小区,在预算182万元的情况下,得到5a、10 a、20 a和50 a重现期下的布设方案,洪峰削减率分别为61。5%、53。2%、42。4%和31。1%。[结论]结果表明:在小尺度地区进行LID建设时,需要考虑子汇水区面积的影响;对于道路汇水区,需要联系地理位置布设;在低重现期下,各LID设施调控效果均较好,而在高重现期下,绿色屋顶的承受能力最强,且需要更多预算进行削峰。
Research on the optimization model of LID deployment in small scale regions based on GWO-PSO algorithm
[Objective]Sponge city reduces the impact of rainfall related disasters through low impact development(LID)rainwa-ter system,and reasonable LID layout scheme is the decisive factor of development effect.[Methods]The rainstorm flood man-agement model(SWMM)and the gray wolf particle swarm optimization(GWO-PSO)algorithm were coupled to establish a small-scale regional LID optimal deployment model.In the GWO-PSO algorithm,the particles are adjusted based on the social Hierarchy position strategy to obtain better optimization performance.The model completes the automatic calibration of parameters according to the discharge outlet flow,and takes the peak flow as the goal,and the economic cost as the constraint to solve the optimal layout scheme of four LID facilities,namely,rain garden,biological grid,green roof and permeable pavement,which are independent and restrictive.[Results]The model was applied to a pilot community,and under the budget of 1.82 million yuan,the deployment plans under the Return period of 5 a,10 a,20 a and 50 a were obtained.The peak reduction rates were 61.5%,53.2%,42.4%and 31.1%,respectively.[Conclusion]The result indicate that when conducting LID construction in small-scale areas,it is necessary to consider the impact of sub catchment area area.For the road catchment area,it is recommended to connecat with the geographical location for layout.In the low Return period,the regulation effect of each LID facility is good,while in the high Return period,the green roof has the strongest affordability,and needs more budget for peak shaving.

sponge cityGWO-PSO algorithmSWMMparameter calibrationLID scheme optimizationrainfall

夏怡杰、杨侃、夏超、石莹洁、徐晗羽

展开 >

河海大学水文水资源学院,江苏南京 210098

无锡市锡山区水利局,江苏无锡 214000

海绵城市 GWO-PSO算法 SWMM 模型 参数率定 LID方案优化 降雨

国家自然科学基金中央高校基本科研业务费专项

521090342452021085

2024

水利水电技术(中英文)
水利部发展研究中心

水利水电技术(中英文)

CSTPCD北大核心
影响因子:0.456
ISSN:1000-0860
年,卷(期):2024.55(3)
  • 30