The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Design Life Level: Quantifying risk in a changing climate
Open accessAbstract
[1] 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.
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Citations
Cites
An Introduction to Statistical Modeling of Extreme Values
Coles, S. (2001) · Springer Series in Statistics · doi:10.1007/978-1-4471-3675-0 · Cited by 7,352
Cited by
Non-stationary extreme value analysis in a changing climate
Cheng, L., AghaKouchak, A., Gilleland, E., & Katz, R. W. (2014) · Climatic Change · doi:10.1007/s10584-014-1254-5 · Cited by 537
Self-citationSlater, L. J., Anderson, B., Buechel, M., Dadson, S., Han, S., Harrigan, S., Kelder, T., Kowal, K., Lees, T., Matthews, T., et al. (2021) · Hydrology and Earth System Sciences · doi:10.5194/hess-25-3897-2021 · Cited by 357
Defining Extreme Events: A Cross‐Disciplinary Review
McPhillips, L. E., Chang, H., Chester, M. V., Depietri, Y., Friedman, E., Grimm, N. B., Kominoski, J. S., McPhearson, T., Méndez‐Lázaro, P., Rosi, E. J., et al. (2018) · Earth's Future · doi:10.1002/2017ef000686 · Cited by 317
Reliability, return periods, and risk under nonstationarity
Read, L. K., & Vogel, R. M. (2015) · Water Resources Research · doi:10.1002/2015wr017089 · Cited by 258
A practice-oriented framework for stationary and nonstationary flood frequency analysis
Vidrio-Sahagún, C. T., Ruschkowski, J., He, J., & Pietroniro, A. (2024) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2024.105940 · Cited by 20
Metadata
- Authors
- Rootzén, H., & Katz, R. W.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2013-09
- Volume
- 49
- Issue
- 9
- Pages
- 5964-5972
- ISSN
- 0043-1397 (ISSN-L)
- OpenAlex
- W1594830375
- Cited by
- 215
- References
- 1
- FWCI
- 8.31
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Rootzén, H., & Katz, R. W. (2013). Design Life Level: Quantifying risk in a changing climate. Water Resources Research. https://doi.org/10.1002/wrcr.20425
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