DOI: 10.1016/j.watres.2020.115502
论文题名: A scalable flood-resilience-index for measuring climate change adaptation: Munich city
作者: Leandro J. ; Chen K.-F. ; Wood R.R. ; Ludwig R.
刊名: Water Research
ISSN: 431354
出版年: 2020
卷: 173 语种: 英语
英文关键词: Climate adaptation measures
; Climate change
; Flood resilience analysis
; Heavy rainfall
; Urban areas
Scopus关键词: Floods
; Rain
; Climate adaptation measures
; Climate change adaptation
; Emission scenario
; Global awareness
; Heavy rainfall
; Rainfall extremes
; Resilience index
; Urban areas
; Climate change
; rain
; climate change
; disaster management
; extreme event
; flood
; precipitation intensity
; pump
; submersible
; urban area
; Article
; climate change
; climate resilience
; controlled study
; evolutionary adaptation
; flood resilience index
; Germany
; household
; human
; priority journal
; Bavaria
; Germany
; Munich
英文摘要: Climate change is affecting the frequency and intensity of rainfall extreme events worldwide. Despite the growing global awareness, developing flood resilient cities has proven to be a major challenge. This paper investigates the application of an event-based scalable Flood Resilience Index (FRI) for assessing climate change adaptation. Flood resilience is represented by three dimensions: physical, social and economic. A household climate adaptation is adopted consisting of a combination of a flood-proof gate with an indoor tank and a submersible pump system implemented in all houses. The climate related impact under a high-emission scenario (RCP8.5) is analysed for Munich with the CRCM5 Large-Ensemble. Results show that for Munich extreme heavy rainfall events are increasing. The FRI can successfully identify households and districts which: a) are mostly affected by heavy rainfall, b) benefit the most from the climate adaptation, and c) are the most resilient. For the most severe future scenario investigated the climate adaptation measure was able to improve 57% of all affected buildings within Maxvorstadt to an FRI equal to 1.0 during the event and recovery phase. © 2020 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158375
Appears in Collections: 气候变化与战略
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作者单位: Chair of Hydrology and River Basin Management, Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Arcisstrasse 21, Munich, 80333, Germany; Department of Geography, Ludwig-Maximilians University, Munich, Germany
Recommended Citation:
Leandro J.,Chen K.-F.,Wood R.R.,et al. A scalable flood-resilience-index for measuring climate change adaptation: Munich city[J]. Water Research,2020-01-01,173