A critical review on optimization and implementation of green-grey infrastructures for sustainable urban stormwater management

Author:

Tansar Husnain1,Li Fei1,Zheng Feifei2,Duan Huan-Feng1ORCID

Affiliation:

1. a Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, Kowloon 999077, China

2. b College of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Rd, Hangzhou, 310058, China

Abstract

ABSTRACT Green-grey infrastructures' implementation has progressed significantly in cities around the globe for sustainable stormwater management. This review study conducted on green-grey infrastructures' optimization represented recent research trends, existing research status, possible study gaps, and future research directions and recommendations needed for further improvements. The findings show that the research on green-grey infrastructures has got significant attention recently (after 2012) because of accessibility to computational resources and the development of hydrological-hydraulic models and optimization algorithms. Furthermore, research on green-grey infrastructures is mostly conducted in ten countries including China, USA and Iran ranked in the first three places, respectively, delivering their advantages to other countries with the essential awareness and knowledge. Most previous studies considered particular quantitative and qualitative optimization objectives and these studies were conducted at smaller retrofitting scales, therefore, future studies need to expand their scope towards socio-ecological objectives with consideration of larger study areas or multi-stage planning, designing, and implementation. Moreover, future research is recommended to consider stakeholders’ participation in preliminary planning and designing stages for the successful implementation of sustainable stormwater management approaches. Lastly, the surrogate-based optimization approaches instead of traditional optimization methods can overcome the burden of computational time and resources in future.

Funder

Research Grants Council, University Grants Committee

NSFC/RGC

Hong Kong Polytechnic University

Publisher

IWA Publishing

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