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contributor authorWilson Fernandes
contributor authorMauro Naghettini
date accessioned2017-05-08T21:24:18Z
date available2017-05-08T21:24:18Z
date copyrightMarch 2008
date issued2008
identifier other%28asce%291084-0699%282008%2913%3A3%28171%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/50160
description abstractIn its 1988 report, the U.S. National Research Council identified principles to be followed in order to improve estimation of extreme flood quantiles. In spite of the many advances attained by more recent research on extreme flood estimation, the NRC principles remain useful recommendations to be considered, which are used in the methodology to be described herein. According to the proposed method, flood peaks that have exceeded an arbitrary threshold and their associated flood volumes are modeled as a marked point process. The estimation method consists of separately estimating the marginal density function of flood volumes and the density function of flood peaks conditioned on volumes. The annual probability distribution of flood peaks can then be estimated by double integrating the product of both densities. Regionalized quantiles of rainfall depths have been used as auxiliary variables for guiding the estimation of the upper tail of the marginal density function of flood volumes by postulating simple assumptions regarding the rainfall-runoff transformation under extreme conditions. The inclusion of the regional frequency analysis of rainfall depths, for the same duration as that of flood volumes, is performed by fitting a regional two-component extreme value distribution to rainfall data observed at a number of gauging stations within a homogeneous region. This paper summarizes the basic ideas of the method and the details of its application to a
publisherAmerican Society of Civil Engineers
titleIntegrated Frequency Analysis of Extreme Flood Peaks and Flood Volumes Using the Regionalized Quantiles of Rainfall Depths as Auxiliary Variables
typeJournal Paper
journal volume13
journal issue3
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/(ASCE)1084-0699(2008)13:3(171)
treeJournal of Hydrologic Engineering:;2008:;Volume ( 013 ):;issue: 003
contenttypeFulltext


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