Can continuous streamflow data support flood frequency analysis? An alternative to the partial duration series approach
Author:
Affiliation:
1. Dipartimento di Idraulica Trasporti e Infrastrutture Civili; Politecnico di Torino; Torino Italy
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1029/2002WR001868/fullpdf
Reference36 articles.
1. Some remarks on the truncation used in partial flood series models;Ashkar;Water Resour. Res.,1983
2. Towards a systematic approach to comparing distribution used in flood frequency analysis;Bobée;J. Hydrol.,1993
3. Flood frequency estimation by continuous simulation (with likelihood based uncertainty estimation);Cameron;Hydrol. Earth Syst. Sci.,2000
4. Goodness-of-fit tests for the generalized Pareto distribution;Choulakian;Technometrics,2001
5. Claps , P. F. Laio P. Villani Assessment of extreme flood production mechanisms through POT analysis of daily data International Conference on Flood Estimation CHR Rep. II-17 75 85 Berne, Switzerland 2002
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