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contributor authorEllen M. Douglas
contributor authorRichard M. Vogel
date accessioned2017-05-08T21:23:59Z
date available2017-05-08T21:23:59Z
date copyrightSeptember 2006
date issued2006
identifier other%28asce%291084-0699%282006%2911%3A5%28482%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/49978
description abstractLiterature on the probability distribution function (PDF) of annual maximum flood discharges is extensive, yet the literature on the PDF of the flood of record (FOR) is sparse. This is partially due to two facts: (1) the PDF for record events is more complex than the PDF for annual maxima; and (2) data sets for observed FORs are much smaller than for the annual maximum flood series from which they derive. We show that, if annual floods arise from a generalized extreme values (GEV) distribution, then the FOR also arises from another GEV distribution, which we term
publisherAmerican Society of Civil Engineers
titleProbabilistic Behavior of Floods of Record in the United States
typeJournal Paper
journal volume11
journal issue5
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/(ASCE)1084-0699(2006)11:5(482)
treeJournal of Hydrologic Engineering:;2006:;Volume ( 011 ):;issue: 005
contenttypeFulltext


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