A GI-based framework for designing stormwater response programs in priority urban areas

Wu, Ruixuan, Jiang, Changbo and Ahmadian, Reza ORCID: https://orcid.org/0000-0003-2665-4734 2026. A GI-based framework for designing stormwater response programs in priority urban areas. Journal of Hydrology: Regional Studies 68 , 104162. 10.1016/j.ejrh.2026.104162

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Abstract

Study region: Kaifu District, Changsha City, Hunan Province, China. Study focus: This paper proposes a framework for designing and optimizing flood control solutions for stakeholder-defined priority areas and applying it to a region to assess its application and validate its effectiveness. The area of green infrastructure within each sub-catchment serves as the decision variable, representing the type, size, and optimal placement location. Life cycle cost and runoff control rates are set as the optimization objectives for the NSGA-II algorithm, and the layout of green infrastructure is iteratively updated based on SWMM simulation results. Ultimately, an optimized strategy for flood mitigation in priority areas is derived. New hydrological insights for the region: The study found that the number and distribution of areas playing a critical role in flood mitigation within priority zones — referred to in the paper as “main impact zones” — are primarily influenced by node overflow volumes surrounding the priority areas and the runoff control characteristics of green infrastructure; variations in storm intensity may also cause changes to these areas. Given limited available land area, the selection of which sub-catchment area will yield better results is also influenced by these three factors.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Engineering
Publisher:	Elsevier
ISSN:	2214-5818
Date of First Compliant Deposit:	10 November 2026
Date of Acceptance:	28 October 2026
Last Modified:	10 Nov 2026 12:30
URI:	https://orca.cardiff.ac.uk/id/eprint/190813

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