Use of historical information in a maximum-likelihood framework

This paper discusses flood-quantile estimators which can employ historical and paleoflood information, both when the magnitudes of historical flood peaks are known, and when only threshold-exceedance information is available. Maximum likelihood, quasi-maximum likelihood and curve fitting methods for...

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Published inJournal of hydrology (Amsterdam) Vol. 96; no. 1; pp. 215 - 223
Main Authors Cohn, Timothy A., Stedinger, Jery R.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Amsterdam Elsevier B.V 15.12.1987
Elsevier Science
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Abstract This paper discusses flood-quantile estimators which can employ historical and paleoflood information, both when the magnitudes of historical flood peaks are known, and when only threshold-exceedance information is available. Maximum likelihood, quasi-maximum likelihood and curve fitting methods for simultaneous estimation of 1, 2 and 3 unknown parameters are examined. The information contained in a 100 yr record of historical observations, during which the flood perception threshold was near the 10 yr flood level (i.e., on average, one flood in ten is above the threshold and hence is recorded), is equivalent to roughly 43, 64 and 78 years of systematic record in terms of the improvement of the precision of 100 yr flood estimators when estimating 1, 2 and 3 parameters, respectively. With the perception threshold at the 100 yr flood level, the historical data was worth 13, 20 and 46 years of systematic data when estimating 1, 2 and 3 parameters, respectively.
AbstractList Flood-quantile estimators using historical and paleoflood information are discussed. Simultaneous estimation of 1, 2, and 3 unknown parameters was assessed using maximal likelihood, quasi-maximal likelihood and curve-fitting methods. The information contained in a 100 year record of historical observations where on average 1 flood in 10 was above the flood perception threshold and was recorded as equivalent to approximately 43, 64 and 78 years of systematic record in terms of the improvement of the precision of 100 year estimators when estimating 1, 2 and 3 parameters respectively. Setting the perception threshold at the 100 year flood level gave values of 13, 20 and 46 years of systematic data when estimating 1, 2 and 3 parameters.
This paper discusses flood-quantile estimators which can employ historical and paleoflood information, both when the magnitudes of historical flood peaks are known, and when only threshold-exceedance information is available. Maximum likelihood, quasi-maximum likelihood and curve fitting methods for simultaneous estimation of 1, 2 and 3 unknown parameters are examined. The information contained in a 100 yr record of historical observations, during which the flood perception threshold was near the 10 yr flood level (i.e., on average, one flood in ten is above the threshold and hence is recorded), is equivalent to roughly 43, 64 and 78 years of systematic record in terms of the improvement of the precision of 100 yr flood estimators when estimating 1, 2 and 3 parameters, respectively. With the perception threshold at the 100 yr flood level, the historical data was worth 13, 20 and 46 years of systematic data when estimating 1, 2 and 3 parameters, respectively.
Author Cohn, Timothy A.
Stedinger, Jery R.
Author_xml – sequence: 1
  givenname: Timothy A.
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  organization: U.S. Geological Survey, 410 National Center, Reston, VA 22092 U.S.A
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  givenname: Jery R.
  surname: Stedinger
  fullname: Stedinger, Jery R.
  organization: Department of Environmental Engineering, Cornell University, Ithaca, NY 14853 U.S.A
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Issue 1
Keywords Graphics
Monte Carlo method
Flood
Monte Carlo analysis
Floods
History
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Graphic methods
Language English
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Snippet This paper discusses flood-quantile estimators which can employ historical and paleoflood information, both when the magnitudes of historical flood peaks are...
Flood-quantile estimators using historical and paleoflood information are discussed. Simultaneous estimation of 1, 2, and 3 unknown parameters was assessed...
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elsevier
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StartPage 215
SubjectTerms Earth sciences
Earth, ocean, space
Exact sciences and technology
Hydrology. Hydrogeology
Title Use of historical information in a maximum-likelihood framework
URI https://dx.doi.org/10.1016/0022-1694(87)90154-5
https://search.proquest.com/docview/13779921
Volume 96
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