Show simple item record

contributor authorBastian Klein
contributor authorMarkus Pahlow
contributor authorYeshewatesfa Hundecha
contributor authorAndreas Schumann
date accessioned2017-05-08T21:48:43Z
date available2017-05-08T21:48:43Z
date copyrightMay 2010
date issued2010
identifier other%28asce%29he%2E1943-5584%2E0000223.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63074
description abstractThe 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.
publisherAmerican Society of Civil Engineers
titleProbability Analysis of Hydrological Loads for the Design of Flood Control Systems Using Copulas
typeJournal Paper
journal volume15
journal issue5
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/(ASCE)HE.1943-5584.0000204
treeJournal of Hydrologic Engineering:;2010:;Volume ( 015 ):;issue: 005
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record