Chapter
Apr 26, 2012
Using Bivariate Distributions for Flood Frequency Analysis Based on Incomplete Data
Authors: Jose A. Raynal-Villasenor [email protected] and Jose D. Salas [email protected]Author Affiliations
Publication: World Environmental and Water Resources Congress 2008: Ahupua'A
Abstract
The logistic bivariate general extreme value (BGEV) distribution is utilized for flood frequency analysis where data is incomplete. Model properties and characteristics are described along with maximum likelihood estimation procedure for estimating the model parameters, where the length of record for one of the sites is shorter than for the other one. The goodness of fit of the bivariate model is compared with that obtained applying the univariate general extreme value (GEV) model. Two measures of goodness of fit are used to compare the results and two examples of application of the proposed methodology are included in the paper. The results show that for one of the examples a best fit is obtained when the BGEV distribution is applied while in the other example the GEV distribution produces the best fit.
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Published In
World Environmental and Water Resources Congress 2008: Ahupua'A
Pages: 1 - 9
Copyright
© 2008 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Analysis (by type)
- Data analysis
- Engineering fundamentals
- Flood frequency
- Floods
- Freight transportation
- Frequency analysis
- Frequency distribution
- Hydrologic data
- Hydrologic engineering
- Hydrology
- Infrastructure
- Logistics
- Mathematics
- Methodology (by type)
- Parameters (statistics)
- Research methods (by type)
- Statistics
- Transportation engineering
- Water and water resources
Authors
Affiliations
F.ASCE
Department of Civil and Environmental Engineering, Universidad de las Americas, Puebla, 72820 Cholula, Puebla, Mexico;. E-mail: [email protected]
M.ASCE
Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO 80523;. E-mail: [email protected]
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