绿色基础设施
城市化
洪水(心理学)
排水系统(地貌)
排水
气候变化
持续性
环境资源管理
弹性(材料科学)
多样性(控制论)
环境规划
环境科学
土木工程
低影响开发
雨水
计算机科学
工程类
雨水管理
地表径流
生态学
物理
人工智能
热力学
生物
心理治疗师
心理学
作者
Dong Xiang,Hao Guo,Siyu Zeng
出处
期刊:Water Research
[Elsevier]
日期:2017-11-01
卷期号:124: 280-289
被引量:209
标识
DOI:10.1016/j.watres.2017.07.038
摘要
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.
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