TECHNICAL PAPERS
Oct 22, 2009

Probability Analysis of Hydrological Loads for the Design of Flood Control Systems Using Copulas

Publication: Journal of Hydrologic Engineering
Volume 15, Issue 5

Abstract

The natural variability of floods cannot be represented appropriately by single design floods. Different hydrological scenarios are needed for sustainable design of flood protection structures such as flood control reservoirs and polders. In this paper a method to estimate the probability of generated hydrological scenarios for the risk analysis of a flood control system is presented. Bivariate probability analyses of different flood variables using copulas are applied to overcome the problem that univariate probability analysis may lead to an over- or underestimation of the hydrological risk. The mesoscale Unstrut river basin in Germany, which consists of two reservoirs located downstream of the main tributaries and flood polders, serves as test case. The spatial distribution of flood events within the river basin is analyzed by the joint probability of the inflow peaks at the two reservoirs. Furthermore, in a second application copulas are used for risk analysis of the individual flood detention structures. This study corroborated that consideration of the flood volume in addition to the flood peak is important for risk-based planning and design.

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Acknowledgments

Funding for this work was provided in part by the German Ministry for Education and Research (BMBF Grant No. UNSPECIFIED02 WH 0588). Access to data was granted by the Ministry of Agriculture, Nature Conservation and the Environment of Thuringia (TMLNU), and the Ministry of Agriculture and Environment of Saxony-Anhalt (MLU LSA). They are gratefully acknowledged.

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Published In

Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 15Issue 5May 2010
Pages: 360 - 369

History

Received: Jul 29, 2008
Accepted: Oct 15, 2009
Published online: Oct 22, 2009
Published in print: May 2010

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Authors

Affiliations

Bastian Klein [email protected]
Ph.D.
Institute of Hydrology, Water Resources Management and Environmental Engineering, Ruhr-Univ. Bochum, Universitätsstraße 150, 44801 Bochum, Germany (corresponding author). E-mail: [email protected]
Markus Pahlow
Ph.D.
Institute of Hydrology, Water Resources Management and Environmental Engineering, Ruhr-Univ. Bochum, Universitätsstraße 150, 44801 Bochum, Germany.
Yeshewatesfa Hundecha
Ph.D.
Institute of Hydrology, Water Resources Management and Environmental Engineering, Ruhr-Univ. Bochum, Universitätsstraße 150, 44801 Bochum, Germany.
Andreas Schumann
Professor, Institute of Hydrology, Water Resources Management and Environmental Engineering, Ruhr-Univ. Bochum, Universitätsstraße 150, 44801 Bochum, Germany.

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