Multi-Objective Optimization and Decision Making for Spatial Layout of Sponge Facilities
The risk of urban flooding and non-point source pollution intensifies due to climate change and urbanization.Sponge city,a nature-based solution to adapt to climate change,is being promoted in China.How to plan and design sponge facilities to give full play to their diversified benefits becomes the...
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Editorial Office of Pearl River
2023-01-01
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| Series: | Renmin Zhujiang |
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| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.09.002 |
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| author | ZHANG Dongqing DING Xiangyi WANG Jia SONG Tianxu MA Mengyang |
| author_facet | ZHANG Dongqing DING Xiangyi WANG Jia SONG Tianxu MA Mengyang |
| author_sort | ZHANG Dongqing |
| collection | DOAJ |
| description | The risk of urban flooding and non-point source pollution intensifies due to climate change and urbanization.Sponge city,a nature-based solution to adapt to climate change,is being promoted in China.How to plan and design sponge facilities to give full play to their diversified benefits becomes the key to effectively constructing a sponge city.In this study,a multi-objective optimization coupling model was constructed based on the NSGA-Ⅲ algorithm and SWMM.TOPSIS method was used to screen out the optimization scheme,and the hydrological benefits,environmental benefits,and irrigation water demand of the optimization scheme under hydrological years with high,normal,and low flows were analyzed.The method was applied to Dongshan Campus of Shanxi University.The results indicate that the three optimal schemes show good hydrological and environmental benefits under typical hydrological years,with an average annual runoff reduction rate of 68.3% and an SS reduction rate of 83.7%.Scheme S1 is the closest to the ideal scheme and has the largest irrigation water demand, which is about 228 000 m<sup>3</sup> per year. Scheme S3 has a large proportion of vegetation sponge facilities and the highest utilization rate of rainwater, with an annual average of 141 000 m<sup>3</sup>. |
| format | Article |
| id | doaj-art-db9eb303a77244479f1c278c53e392bb |
| institution | Kabale University |
| issn | 1001-9235 |
| language | zho |
| publishDate | 2023-01-01 |
| publisher | Editorial Office of Pearl River |
| record_format | Article |
| series | Renmin Zhujiang |
| spelling | doaj-art-db9eb303a77244479f1c278c53e392bb2025-01-15T02:21:17ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352023-01-014447627858Multi-Objective Optimization and Decision Making for Spatial Layout of Sponge FacilitiesZHANG DongqingDING XiangyiWANG JiaSONG TianxuMA MengyangThe risk of urban flooding and non-point source pollution intensifies due to climate change and urbanization.Sponge city,a nature-based solution to adapt to climate change,is being promoted in China.How to plan and design sponge facilities to give full play to their diversified benefits becomes the key to effectively constructing a sponge city.In this study,a multi-objective optimization coupling model was constructed based on the NSGA-Ⅲ algorithm and SWMM.TOPSIS method was used to screen out the optimization scheme,and the hydrological benefits,environmental benefits,and irrigation water demand of the optimization scheme under hydrological years with high,normal,and low flows were analyzed.The method was applied to Dongshan Campus of Shanxi University.The results indicate that the three optimal schemes show good hydrological and environmental benefits under typical hydrological years,with an average annual runoff reduction rate of 68.3% and an SS reduction rate of 83.7%.Scheme S1 is the closest to the ideal scheme and has the largest irrigation water demand, which is about 228 000 m<sup>3</sup> per year. Scheme S3 has a large proportion of vegetation sponge facilities and the highest utilization rate of rainwater, with an annual average of 141 000 m<sup>3</sup>.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.09.002sponge citymulti-objective optimizationSWMMirrigation water demand |
| spellingShingle | ZHANG Dongqing DING Xiangyi WANG Jia SONG Tianxu MA Mengyang Multi-Objective Optimization and Decision Making for Spatial Layout of Sponge Facilities Renmin Zhujiang sponge city multi-objective optimization SWMM irrigation water demand |
| title | Multi-Objective Optimization and Decision Making for Spatial Layout of Sponge Facilities |
| title_full | Multi-Objective Optimization and Decision Making for Spatial Layout of Sponge Facilities |
| title_fullStr | Multi-Objective Optimization and Decision Making for Spatial Layout of Sponge Facilities |
| title_full_unstemmed | Multi-Objective Optimization and Decision Making for Spatial Layout of Sponge Facilities |
| title_short | Multi-Objective Optimization and Decision Making for Spatial Layout of Sponge Facilities |
| title_sort | multi objective optimization and decision making for spatial layout of sponge facilities |
| topic | sponge city multi-objective optimization SWMM irrigation water demand |
| url | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.09.002 |
| work_keys_str_mv | AT zhangdongqing multiobjectiveoptimizationanddecisionmakingforspatiallayoutofspongefacilities AT dingxiangyi multiobjectiveoptimizationanddecisionmakingforspatiallayoutofspongefacilities AT wangjia multiobjectiveoptimizationanddecisionmakingforspatiallayoutofspongefacilities AT songtianxu multiobjectiveoptimizationanddecisionmakingforspatiallayoutofspongefacilities AT mamengyang multiobjectiveoptimizationanddecisionmakingforspatiallayoutofspongefacilities |