Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s10584-017-2090-1 |
Fail-safe and safe-to-fail adaptation: decision-making for urban flooding under climate change | |
Kim, Yeowon1; Eisenberg, Daniel A.2; Bondank, Emily N.2; Chester, Mikhail V.2; Mascaro, Giuseppe2; Underwood, B. Shane3 | |
2017-12-01 | |
发表期刊 | CLIMATIC CHANGE |
ISSN | 0165-0009 |
EISSN | 1573-1480 |
出版年 | 2017 |
卷号 | 145 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | As climate change affects precipitation patterns, urban infrastructure may become more vulnerable to flooding. Flooding mitigation strategies must be developed such that the failure of infrastructure does not compromise people, activities, or other infrastructure. "Safe-to-fail" is an emerging paradigm that broadly describes adaptation scenarios that allow infrastructure to fail but control or minimize the consequences of the failure. Traditionally, infrastructure is designed as "fail-safe" where they provide robust protection when the risks are accurately predicted within a designed safety factor. However, the risks and uncertainties faced by urban infrastructure are becoming so great due to climate change that the "fail-safe" paradigm should be questioned. We propose a framework to assess potential flooding solutions based on multiple infrastructure resilience characteristics using a multi-criteria decision analysis (MCDA) analytic hierarchy process algorithm to prioritize "safe-to-fail" and "fail-safe" strategies depending on stakeholder preferences. Using urban flooding in Phoenix, Arizona, as a case study, we first estimate flooding intensity and evaluate roadway vulnerability using the Storm Water Management Model for a series of downpours that occurred on September 8, 2014. Results show the roadway types and locations that are vulnerable. Next, we identify a suite of adaptation strategies and characteristics of these strategies and attempt to more explicitly categorize flooding solutions as "safe-to-fail" and "fail-safe" with these characteristics. Lastly, we use MCDA to show how adaptation strategy rankings change when stakeholders have different preferences for particular adaptation characteristics. |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000417060100010 |
WOS关键词 | CHANGE IMPACTS ; RISK ; RESILIENCE ; DRAINAGE ; DESIGN ; STRATEGIES ; MANAGEMENT ; EXTREMES ; CITIES |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/30007 |
专题 | 气候变化 |
作者单位 | 1.Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA; 2.Arizona State Univ, Civil Environm & Sustainable Engn, Tempe, AZ USA; 3.North Carolina State Univ, Civil Construct & Environm Engn, Raleigh, NC USA |
推荐引用方式 GB/T 7714 | Kim, Yeowon,Eisenberg, Daniel A.,Bondank, Emily N.,et al. Fail-safe and safe-to-fail adaptation: decision-making for urban flooding under climate change[J]. CLIMATIC CHANGE,2017,145. |
APA | Kim, Yeowon,Eisenberg, Daniel A.,Bondank, Emily N.,Chester, Mikhail V.,Mascaro, Giuseppe,&Underwood, B. Shane.(2017).Fail-safe and safe-to-fail adaptation: decision-making for urban flooding under climate change.CLIMATIC CHANGE,145. |
MLA | Kim, Yeowon,et al."Fail-safe and safe-to-fail adaptation: decision-making for urban flooding under climate change".CLIMATIC CHANGE 145(2017). |
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