Integrating Grey–Green Infrastructure in Urban Stormwater Management: A Multi–Objective Optimization Framework for Enhanced Resilience and Cost Efficiency
Urban stormwater management systems are increasingly strained by rapid urbanization and climate change, yet existing planning approaches often lack holistic optimization frameworks that account for both green and grey infrastructure (GREI) under uncertain future conditions. This study introduces a m...
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MDPI AG
2025-04-01
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| author | Lie Wang Jiayu Zhao Ziheng Xiong Ji’an Zhuang Mo Wang |
| author_facet | Lie Wang Jiayu Zhao Ziheng Xiong Ji’an Zhuang Mo Wang |
| author_sort | Lie Wang |
| collection | DOAJ |
| description | Urban stormwater management systems are increasingly strained by rapid urbanization and climate change, yet existing planning approaches often lack holistic optimization frameworks that account for both green and grey infrastructure (GREI) under uncertain future conditions. This study introduces a multi–objective optimization framework for Grey–Green Infrastructure (GGI), which integrates green infrastructure (GI) with GREI to enhance urban flood resilience, cost efficiency, and adaptability. The framework addresses life cycle cost (LCC), technological resilience (Tech-R), and operational resilience (Oper-R), offering a comprehensive approach to navigating the complexities of urban stormwater management. Key findings reveal that: (1) GGI systems optimized for resilience achieve a 33% improvement in Oper-R, with only a marginal increase in LCC of less than 9%, highlighting their robustness under GREI failure scenarios; (2) the integration of bioretention cells (BCs) and porous pavements (PPs) into GGI increases Tech-R by 7.1%, enhancing soil water retention and permeability, particularly in densely urbanized contexts; and (3) decentralized GGI systems exhibit superior adaptability to extreme weather events, with Design D reducing LCC to USD 53.9 M while maintaining no overflow under a 5–year rainfall event. The framework was validated in Zhujiang New Town, Guangzhou, where optimized GGI designs reduced average pipe diameters and manhole depths by 0.2–0.3 m compared to GREI–only systems, demonstrating both cost and resilience advantages. These findings provide decision–makers with a robust tool for evaluating trade–offs in stormwater infrastructure planning, advancing sustainable urban water management. |
| format | Article |
| id | doaj-art-53b6817e465d45a4b59b96bd56f48eda |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-53b6817e465d45a4b59b96bd56f48eda2025-08-20T02:09:18ZengMDPI AGApplied Sciences2076-34172025-04-01157385210.3390/app15073852Integrating Grey–Green Infrastructure in Urban Stormwater Management: A Multi–Objective Optimization Framework for Enhanced Resilience and Cost EfficiencyLie Wang0Jiayu Zhao1Ziheng Xiong2Ji’an Zhuang3Mo Wang4Art School, Hunan University of Information Technology, Changsha 410151, ChinaCollege of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, ChinaCollege of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, ChinaCollege of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, ChinaCollege of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, ChinaUrban stormwater management systems are increasingly strained by rapid urbanization and climate change, yet existing planning approaches often lack holistic optimization frameworks that account for both green and grey infrastructure (GREI) under uncertain future conditions. This study introduces a multi–objective optimization framework for Grey–Green Infrastructure (GGI), which integrates green infrastructure (GI) with GREI to enhance urban flood resilience, cost efficiency, and adaptability. The framework addresses life cycle cost (LCC), technological resilience (Tech-R), and operational resilience (Oper-R), offering a comprehensive approach to navigating the complexities of urban stormwater management. Key findings reveal that: (1) GGI systems optimized for resilience achieve a 33% improvement in Oper-R, with only a marginal increase in LCC of less than 9%, highlighting their robustness under GREI failure scenarios; (2) the integration of bioretention cells (BCs) and porous pavements (PPs) into GGI increases Tech-R by 7.1%, enhancing soil water retention and permeability, particularly in densely urbanized contexts; and (3) decentralized GGI systems exhibit superior adaptability to extreme weather events, with Design D reducing LCC to USD 53.9 M while maintaining no overflow under a 5–year rainfall event. The framework was validated in Zhujiang New Town, Guangzhou, where optimized GGI designs reduced average pipe diameters and manhole depths by 0.2–0.3 m compared to GREI–only systems, demonstrating both cost and resilience advantages. These findings provide decision–makers with a robust tool for evaluating trade–offs in stormwater infrastructure planning, advancing sustainable urban water management.https://www.mdpi.com/2076-3417/15/7/3852Grey–Green Infrastructuremulti–objective optimizationresilienceurban stormwater managementlife cycle cost |
| spellingShingle | Lie Wang Jiayu Zhao Ziheng Xiong Ji’an Zhuang Mo Wang Integrating Grey–Green Infrastructure in Urban Stormwater Management: A Multi–Objective Optimization Framework for Enhanced Resilience and Cost Efficiency Applied Sciences Grey–Green Infrastructure multi–objective optimization resilience urban stormwater management life cycle cost |
| title | Integrating Grey–Green Infrastructure in Urban Stormwater Management: A Multi–Objective Optimization Framework for Enhanced Resilience and Cost Efficiency |
| title_full | Integrating Grey–Green Infrastructure in Urban Stormwater Management: A Multi–Objective Optimization Framework for Enhanced Resilience and Cost Efficiency |
| title_fullStr | Integrating Grey–Green Infrastructure in Urban Stormwater Management: A Multi–Objective Optimization Framework for Enhanced Resilience and Cost Efficiency |
| title_full_unstemmed | Integrating Grey–Green Infrastructure in Urban Stormwater Management: A Multi–Objective Optimization Framework for Enhanced Resilience and Cost Efficiency |
| title_short | Integrating Grey–Green Infrastructure in Urban Stormwater Management: A Multi–Objective Optimization Framework for Enhanced Resilience and Cost Efficiency |
| title_sort | integrating grey green infrastructure in urban stormwater management a multi objective optimization framework for enhanced resilience and cost efficiency |
| topic | Grey–Green Infrastructure multi–objective optimization resilience urban stormwater management life cycle cost |
| url | https://www.mdpi.com/2076-3417/15/7/3852 |
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