Assessment of Green Infrastructure for sustainable urban water management

Suraj Sharma (), Shakti Kumar and Akashdeep Singh
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Suraj Sharma: PEC Chandigarh
Shakti Kumar: PEC Chandigarh
Akashdeep Singh: PEC Chandigarh

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2025, vol. 27, issue 9, No 16, 20735-20744

Abstract: Abstract Green Infrastructure (GI) offers a contemporary approach for mitigating flood risk, improving water quality and managing urban storm water for sustainable use. Green Infrastructure promotes landscape planning in urban resilience to enhance sustainable development. Moreover, the present literature is lacking in ensuring the comprehensive assessment of Green Infrastructure performance in terms of ecosystem function and considering serviceability for social, ecological and economical system resilience. In this study, robust indicator is proposed to set fuzzy comprehensive evaluation (FCE) for quantitative and qualitative analysis for sustainable water management to assess the capacity of urban resilience. Green Infrastructure urban resilience water management system (GIUR-WMS) helps in decision-making for Green Infrastructure planning by comparing scenario generation to ensure urban resilience capacity index. To demonstrate the GIUR-WMS, we develop five alternatives/scenarios in five sectors of Chandigarh (12, 26, 14, 17 and 34) to test common type of GI (rain barrel, rain gardens, detention basins, porous pavements and open spaces). Result shows that the open spaces achieve highest Green Infrastructure urban resilience index of 4.22/5. To implement the open space scenario in urban sites, suitable vacant can be converted to green spaces (for example forest, low impact recreation areas and detention basins); GIUR-WMS is easy to replicate, customize and apply to cities of different sizes to assess environmental, social and ecological dimensions.

Keywords: Green Infrastructure; Urban resilience; Water management system; Fuzzy comprehensive evaluation; Assessment (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10668-023-03411-w

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