Design Life Level: Quantifying risk in a changing climate

被引:153
作者
Rootzen, Holger [1 ]
Katz, Richard W. [2 ]
机构
[1] Chalmers & Gothenburg Univ, Dept Math Stat, SE-41296 Gothenburg, Sweden
[2] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
基金
美国国家科学基金会;
关键词
design criteria; climate change; nonstationary; extreme value statistics; return level; return period; exceedance risk; STATIONARITY; TEMPERATURES; EXTREMES;
D O I
10.1002/wrcr.20425
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the past, the concepts of return levels and return periods have been standard and important tools for engineering design. However, these concepts are based on the assumption of a stationary climate and do not apply to a changing climate, whether local or global. In this paper, we propose a refined concept, Design Life Level, which quantifies risk in a nonstationary climate and can serve as the basis for communication. In current practice, typical hydrologic risk management focuses on a standard (e.g., in terms of a high quantile corresponding to the specified probability of failure for a single year). Nevertheless, the basic information needed for engineering design should consist of (i) the design life period (e.g., the next 50 years, say 2015-2064); and (ii) the probability (e.g., 5% chance) of a hazardous event (typically, in the form of the hydrologic variable exceeding a high level) occurring during the design life period. Capturing both of these design characteristics, the Design Life Level is defined as an upper quantile (e.g., 5%) of the distribution of the maximum value of the hydrologic variable (e.g., water level) over the design life period. We relate this concept and variants of it to existing literature and illustrate how they, and some useful complementary plots, may be computed and used. One practically important consideration concerns quantifying the statistical uncertainty in estimating a high quantile under nonstationarity.
引用
收藏
页码:5964 / 5972
页数:9
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