中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Synergizing flood mitigation and water quality goals through green infrastructure in Dali City, China

文献类型:期刊论文

作者Feng, Wenhan1; Zhou, Bingyi9; Wang, Ziyao8; Wang, Yifei6,7; Jia, Haifeng5,9; Chen, Junxu8; Wang, Jingyu3; Deng, Xiangzheng4,6,7; Garschagen, Matthias1; Yang, Liang Emlyn1,2
刊名INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
出版日期2025-10-15
卷号129页码:105785
关键词Green infrastructure Urban floods Water quality Urban governance Resilience
ISSN号2212-4209
DOI10.1016/j.ijdrr.2025.105785
产权排序4
文献子类Article
英文摘要Many cities have implemented strict drainage regulations to preserve the water quality of rivers and lakes; however, these measures can inadvertently exacerbate urban flooding. Dali City, located in southwestern China, faces similar challenges and is exploring governance solutions through the implementation of green infrastructure. This study examines the behaviors of various actors within the water management system and models the effectiveness of green infrastructures interventions in Dali. Our flood simulation experiments based on Storm water management model (SWMM) and Personal Computer Storm Water Management Model (PCSWMM) confirmed the potential of green infrastructure in coordinating water quality preservation and flood management objectives. The combination of 71 % green infrastructure deployment rate with gray infrastructure helps to achieve a volume capture ratio exceeding 94 % and a pollutant reduction rate of over 60 %. However, scenario analyses at various scales indicate that excessively large-scale green infrastructure can reduce the synergistic efficiency of achieving both objectives. Specifically, after reaching an 85 % volume capture ratio under typical rainfall conditions, each additional 1 % increase in green infrastructure coverage would require an investment of at least 12 million RMB, which is no longer cost-effective. The optimal solution is to implement green infrastructure at 71 % coverage while prioritizing its integration with gray infrastructure. Our findings highlight the need to balance technical design with institutional coordination, and we propose a governance framework that integrates hydrological and social processes to enhance policy synergy. This study contributes a case-based perspective from China's planning system, offering transferable insights for other rapidly urbanizing regions.
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WOS关键词WASTE-WATER ; URBAN ; MANAGEMENT ; SIMULATION ; POLLUTION ; RISK
WOS研究方向Geology ; Meteorology & Atmospheric Sciences ; Water Resources
语种英语
WOS记录号WOS:001567634400001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/216069]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Jia, Haifeng; Yang, Liang Emlyn
作者单位1.Ludwig Maximilian Univ Munich LMU, Dept Geog, D-80333 Munich, Germany;
2.Harvard Univ, John A Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USA
3.Zhejiang A&F Univ, Coll Econ & Management, Hangzhou 311300, Peoples R China;
4.Beijing Technol & Business Univ, Beijing 100048, Peoples R China;
5.Suzhou Univ Sci & Technol, Jiangsu Collaborat Innovat Ctr Technol & Mat Water, Suzhou 215009, Peoples R China;
6.Univ Chinese Acad Sci, Beijing 100190, Peoples R China;
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
8.Yunnan Univ, Sch Earth Sci, Kunming 650500, Peoples R China;
9.Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China;
推荐引用方式
GB/T 7714
Feng, Wenhan,Zhou, Bingyi,Wang, Ziyao,et al. Synergizing flood mitigation and water quality goals through green infrastructure in Dali City, China[J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,2025,129:105785.
APA Feng, Wenhan.,Zhou, Bingyi.,Wang, Ziyao.,Wang, Yifei.,Jia, Haifeng.,...&Yang, Liang Emlyn.(2025).Synergizing flood mitigation and water quality goals through green infrastructure in Dali City, China.INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,129,105785.
MLA Feng, Wenhan,et al."Synergizing flood mitigation and water quality goals through green infrastructure in Dali City, China".INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 129(2025):105785.

入库方式: OAI收割

来源:地理科学与资源研究所

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