Articles | Volume 14, issue 12
https://doi.org/10.5194/hess-14-2617-2010
https://doi.org/10.5194/hess-14-2617-2010
Research article
 | 
20 Dec 2010
Research article |  | 20 Dec 2010

Estimation of high return period flood quantiles using additional non-systematic information with upper bounded statistical models

B. A. Botero and F. Francés

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Subject: Engineering Hydrology | Techniques and Approaches: Stochastic approaches
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Cited articles

American Society of Civil Engineers (ASCE): Evaluation procedures for hydrologic safety of dams, Spillway Design Flood Selection, Surface Water Hydrology Committee, Report 8726–26520, ASCE, New York, USA, 1988.
Benito, G., Lang, M., Barriendos, M., Llasat, M. C., Frances, F., Ouarda, T., Thorndycraft, V. R., Enzel, Y., Bardossy, A., Coeur, D., and Bobée, B.: Use of Systematic, Palaeoflood and Historical Data for the improvement of flood risk estimation, Review of scientific methods, Nat. Hazards, 31, 623–643, 2004.
Botero, B. A.: Estimación de Crecidas de alto período de retorno mediante funciones de distribución con límite superior e información No Sistemática, Ph.D. dissertation, Department of Hydraulic Engineering and Environment, Polytechnic University of Valencia, 223 pp., 2006.
Calenda, G., Mancini, C. P., and Volpi, E.: Distribution of the extreme peak floods of the Tiber River from the XV century, Adv. Water Resour., 28(5), 615–625, 2005.
Calenda, G., Mancini, C. P., and Volpi, E.: Selection of the probabilistic model of extreme floods: The case of the River Tiber in Rome, J. Hydrol., 371(1–4), 1–11, 2009.