Case Studies
Mar 10, 2014

Managing Hydrological Risks with Extreme Modeling: Application of Peaks over Threshold Model to the Loukkos Watershed, Morocco

Publication: Journal of Hydrologic Engineering
Volume 19, Issue 9

Abstract

The peaks over threshold (POT) is a widely used technique to describe the exceedances of hydrological data above a threshold. It is well known that, under some conditions, the exceedances distribution can be approximated by a generalized Pareto distribution (GPD). The lack of a generally accepted methodology for selecting the optimal threshold is a major issue of the POT technique. In this paper an integrated approach is proposed that combines some graphical approaches with some analytical approaches to identify the optimal threshold and estimate the shape parameter of the exceedances distribution. Such a combination intends to reduce the subjectivity in graphical methods, and to refine their finding by using rigorous mathematical tools of analytical methods. First, a statistical test is used to select the appropriate GPD fitting the exceedances. Then, three numerical approaches, namely the likelihood ratio test, square error method, and multiple threshold method, are applied to detect the optimal threshold above which exceedances can be approximated by a GPD. These techniques are illustrated in a case study of Loukkos basin, a water resource of great importance in Morocco.

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Acknowledgments

The authors are grateful to the editors and referees for their valuable suggestions that improved the original version of this paper. This work was partially supported through FACE 106372-013, a project sponsored by IRIACC/IDRC.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 19Issue 9September 2014

History

Received: Jan 16, 2013
Accepted: Mar 6, 2014
Published online: Mar 10, 2014
Published in print: Sep 1, 2014
Discussion open until: Nov 18, 2014

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Authors

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Professor, Laboratoire de Mathématiques Appliquées, Département de mathématiques, Faculté des sciences, Université Mohammed V-Agdal, Rabat, Morocco (corresponding author). E-mail: [email protected]
S. EL Adlouni
Professor, Département de Mathématiques et Statistique, Université de Moncton, Moncton, NB, Canada E1A 3E9.
F. Badaoui
Ph.D. Student, Laboratoire de Mathématiques Appliquées, Département de mathématiques, Faculté des sciences, Université Mohammed V-Agdal, Rabat, Morocco.
A. Amar
Ph.D. Student, Laboratoire de Mathématiques Appliquées, Département de mathématiques, Faculté des sciences, Université Mohammed V-Agdal, Rabat, Morocco.
C. G. Okou
Ph.D. Student, Laboratoire de Mathématiques Appliquées, Département de mathématiques, Faculté des sciences, Université Mohammed V-Agdal, Rabat, Morocco.

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