Literature DB >> 28772140

Enhancing future resilience in urban drainage system: Green versus grey infrastructure.

Xin Dong1, Hao Guo2, Siyu Zeng3.   

Abstract

In recent years, the concept transition from fail-safe to safe-to-fail makes the application of resilience analysis popular in urban drainage systems (UDSs) with various implications and quantifications. However, most existing definitions of UDSs resilience are confined to the severity of flooding, while uncertainties from climate change and urbanization are not considered. In this research, we take into account the functional variety, topological complexity, and disturbance randomness of UDSs and define a new formula of resilience based on three parts of system severity, i.e. social severity affected by urban flooding, environmental severity caused by sewer overflow, and technological severity considering the safe operation of downstream facilities. A case study in Kunming, China is designed to compare the effect of green and grey infrastructure strategies on the enhancement of system resilience together with their costs. Different system configurations with green roofs, permeable pavement and storage tanks are compared by scenario analysis with full consideration of future uncertainties induced by urbanization and climate change. The research contributes to the development of sustainability assessment of urban drainage system with consideration of the resilience of green and grey infrastructure under future change. Finding the response measures with high adaptation across a variety of future scenarios is crucial to establish sustainable urban drainage system in a long term.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Climate change; Green infrastructure; Grey infrastructure; Resilience; Urban drainage system

Mesh:

Year:  2017        PMID: 28772140     DOI: 10.1016/j.watres.2017.07.038

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

Review 1.  The application of resilience theory in urban development: a literature review.

Authors:  Li Kong; Xianzhong Mu; Guangwen Hu; Zheng Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2022-05-23       Impact factor: 5.190

Review 2.  Overcoming randomness does not rule out the importance of inherent randomness for functionality.

Authors:  Yaron Ilan
Journal:  J Biosci       Date:  2019-12       Impact factor: 1.826

3.  Sponge City Planning and Information System Development Based on Geographic Information Fuzzy Processing.

Authors:  Mingxin Gan; Tongfang Li
Journal:  Comput Intell Neurosci       Date:  2022-09-15

Review 4.  Review of Urban Flood Resilience: Insights from Scientometric and Systematic Analysis.

Authors:  Meiyan Gao; Zongmin Wang; Haibo Yang
Journal:  Int J Environ Res Public Health       Date:  2022-07-21       Impact factor: 4.614

5.  Measuring performance of low impact development practices for the surface runoff management.

Authors:  Wenyu Yang; Kurt Brüggemann; Kiwanuka David Seguya; Ehtesham Ahmed; Thomas Kaeseberg; Heng Dai; Pei Hua; Jin Zhang; Peter Krebs
Journal:  Environ Sci Ecotechnol       Date:  2020-01-13
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.