contributor author | Wilson Fernandes | |
contributor author | Mauro Naghettini | |
date accessioned | 2017-05-08T21:24:18Z | |
date available | 2017-05-08T21:24:18Z | |
date copyright | March 2008 | |
date issued | 2008 | |
identifier other | %28asce%291084-0699%282008%2913%3A3%28171%29.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/50160 | |
description abstract | In 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 | |
publisher | American Society of Civil Engineers | |
title | Integrated Frequency Analysis of Extreme Flood Peaks and Flood Volumes Using the Regionalized Quantiles of Rainfall Depths as Auxiliary Variables | |
type | Journal Paper | |
journal volume | 13 | |
journal issue | 3 | |
journal title | Journal of Hydrologic Engineering | |
identifier doi | 10.1061/(ASCE)1084-0699(2008)13:3(171) | |
tree | Journal of Hydrologic Engineering:;2008:;Volume ( 013 ):;issue: 003 | |
contenttype | Fulltext | |