Where to go green and who benefits? Coordinated green infrastructure planning for cross-regional flood risk management

Journal Article (2025)
Author(s)

Qichen Hong (Zhejiang University)

Haoxun Zhang (Zhejiang University)

Bin Chen (Zhejiang University, Hanjia Design Group Co. Ltd)

S. Nijhuis (TU Delft - Landscape Architecture)

Yuting Xie (Zhejiang University)

Research Group
Landscape Architecture
DOI related publication
https://doi.org/10.1016/j.ijdrr.2025.105856
More Info
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Publication Year
2025
Language
English
Research Group
Landscape Architecture
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
130
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Abstract

Global climate change and rapid urbanization have intensified flood risks worldwide, especially in cross-regional watersheds where jurisdictions often implement mitigation strategies independently. Although grey infrastructure is widely used to address these heightened risks, its fragmented application frequently shifts hazards to adjacent regions and causes adverse ecological impacts. In contrast, green infrastructure (GI), an interconnected network of natural and semi-natural areas, offers a promising nature-based solution, yet variability in terrain, soils, land use, and hydrological connectivity complicates the development of universal GI planning guidelines. Thus, this study addresses two critical questions: (1) How do changes in flood risk management performance (FRMP) in one region affect neighboring regions? (2) How can GI planning be tailored to watershed heterogeneity? Focusing on three contiguous regions in China's Yangtze River Delta Ecological Green Integration Demonstration Zone, we simulated flood processes using the SCS-MIKE11 hydrological-hydrodynamic model, optimized GI spatial configurations via Simulated Annealing, and applied the TOPSIS to select configurations that balance FRMP across all regions. Results show: (1) significant interregional FRMP correlations, with midstream negatively correlated with upstream (p <0.001) and downstream (p <0.001); (2) dispersed GI spatial configurations better accommodate watershed heterogeneity; (3) prioritizing FRMP at regional boundaries when configuring GI effectively mitigates watershed-wide flood risks; (4) distributive justice, integrated land and water management are essential for cross‐regional flood challenges. This study reveals interregional FRMP coupling and pioneers a heterogeneity-responsive GI optimization, offering planners a novel decision-support tool for coordinated GI planning for cross-regional flood risk management.

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