An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Watershed, China
Study regions: This study focuses on the Upper Ting River Watershed (UTRW) in the Ting River Basin, China. Study focus: The study investigates the adverse impacts of urbanization and land-use change on hydrology, proposing the implementation of grey-green-blue infrastructure (GGBI) practices to miti...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581824005056 |
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| author | Jun Wu Jiangang Xu Muqiu Lu Haolin Ming |
| author_facet | Jun Wu Jiangang Xu Muqiu Lu Haolin Ming |
| author_sort | Jun Wu |
| collection | DOAJ |
| description | Study regions: This study focuses on the Upper Ting River Watershed (UTRW) in the Ting River Basin, China. Study focus: The study investigates the adverse impacts of urbanization and land-use change on hydrology, proposing the implementation of grey-green-blue infrastructure (GGBI) practices to mitigate these effects. An integrated modeling framework is developed to optimize the placement of GGBI, demonstrated through a case application in the UTRW. New hydrological insights for the region: （1）The proposed modeling framework is highly effective in identifying key nodes and corridors for stormwater processes and flood inundation at both the watershed and city levels. It guides the reconstruction of GGBI spatial patterns at the watershed level and optimizes GGBI placement at the city level.（2）In the central city, flooding covers an area of 8.44 km², or 18.53 % of the total area, with average flood depths of 0.99 m and maximum depths reaching 1.69 m. Areas most suitable for GGBI construction are located along the Ting River, showing clear continuity and concentration in the central city and Xinqiao Town.（3）The optimized placement of GGBI, based on the SWMM model and non-dominated sorting genetic algorithm (NSGA-III), effectively reduces flood damage. Multi-objective optimization solutions outperform alternatives in terms of runoff reduction, pipeline overload duration, and construction costs. |
| format | Article |
| id | doaj-art-3a17c2e5b7c641bbb6bb2c1d1db71862 |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-3a17c2e5b7c641bbb6bb2c1d1db718622025-01-22T05:42:15ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-02-0157102156An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Watershed, ChinaJun Wu0Jiangang Xu1Muqiu Lu2Haolin Ming3School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China; School of Arts, Anhui University of Finance and Economics, Bengbu 233030, ChinaSchool of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China; Correspondence to: 22 Hankou Road, Gulou District, Nanjing, Jiangsu Province 210093, China.School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, ChinaSchool of Architecture and Urban Planning, Nanjing University, Nanjing 210093, ChinaStudy regions: This study focuses on the Upper Ting River Watershed (UTRW) in the Ting River Basin, China. Study focus: The study investigates the adverse impacts of urbanization and land-use change on hydrology, proposing the implementation of grey-green-blue infrastructure (GGBI) practices to mitigate these effects. An integrated modeling framework is developed to optimize the placement of GGBI, demonstrated through a case application in the UTRW. New hydrological insights for the region: （1）The proposed modeling framework is highly effective in identifying key nodes and corridors for stormwater processes and flood inundation at both the watershed and city levels. It guides the reconstruction of GGBI spatial patterns at the watershed level and optimizes GGBI placement at the city level.（2）In the central city, flooding covers an area of 8.44 km², or 18.53 % of the total area, with average flood depths of 0.99 m and maximum depths reaching 1.69 m. Areas most suitable for GGBI construction are located along the Ting River, showing clear continuity and concentration in the central city and Xinqiao Town.（3）The optimized placement of GGBI, based on the SWMM model and non-dominated sorting genetic algorithm (NSGA-III), effectively reduces flood damage. Multi-objective optimization solutions outperform alternatives in terms of runoff reduction, pipeline overload duration, and construction costs.http://www.sciencedirect.com/science/article/pii/S2214581824005056OptimizationCoupled grey-green-blue infrastructureStormwater processSuitability of constructionAdaptive planning methods |
| spellingShingle | Jun Wu Jiangang Xu Muqiu Lu Haolin Ming An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Watershed, China Journal of Hydrology: Regional Studies Optimization Coupled grey-green-blue infrastructure Stormwater process Suitability of construction Adaptive planning methods |
| title | An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Watershed, China |
| title_full | An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Watershed, China |
| title_fullStr | An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Watershed, China |
| title_full_unstemmed | An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Watershed, China |
| title_short | An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Watershed, China |
| title_sort | integrated modelling framework for optimization of the placement of grey green blue infrastructure to mitigate and adapt flood risk an application to the upper ting river watershed china |
| topic | Optimization Coupled grey-green-blue infrastructure Stormwater process Suitability of construction Adaptive planning methods |
| url | http://www.sciencedirect.com/science/article/pii/S2214581824005056 |
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