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Regional Frequency Analysis: An Approach Based on L-Moments
Abstract
Extreme environmental events, such as floods, droughts, rainstorms and high winds, have severe consequences for human society. Regional frequency analysis helps to solve the problem of estimating the frequency of these rare events at one site, by using data from several sites. This book is the first complete account of the L-moment approach to regional frequency analysis. Regional Frequency Analysis comprehensively describes the theoretical background to the subject, is rich in practical advice for users, and contains detailed examples that illustrate the approach. This book will be of great value to hydrologists, atmospheric scientists and civil engineers, concerned with environmental extremes.
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Cited by
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Guttman, N. B. (1999) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1999.tb03592.x · Cited by 1,450
Hourdin, F., Musat, I., Bony, S., Braconnot, P., Codron, F., Dufresne, J.-L., Fairhead, L., Filiberti, M.-A., Friedlingstein, P., Grandpeix, J.-Y., et al. (2006) · Climate Dynamics · doi:10.1007/s00382-006-0158-0 · Cited by 844
Social contagion and income heterogeneity in new product diffusion: A meta-analytic test
Van den Bulte, C., & Stremersch, S. (2004) · Marketing Science · doi:10.1287/mksc.1040.0054 · Cited by 434
A regional frequency analysis of United Kingdom extreme rainfall from 1961 to 2000
Fowler, H. J., & Kilsby, C. G. (2003) · International Journal of Climatology · doi:10.1002/joc.943 · Cited by 351
Salas, J. D., Govindaraju, R. S., Anderson, M., Arabi, M., Francés, F., Suarez, W., Lavado-Casimiro, W. S., & Green, T. R. (2014) · Modern Water Resources Engineering · doi:10.1007/978-1-62703-595-8_1 · Cited by 290
Metadata
- Authors
- Hosking, J. R. M., & Wallis, J. R.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1997-04-28
- OpenAlex
- W2056199992
- Cited by
- 2,622
- References
- 0
- FWCI
- 27.84
- Type
- book
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
