Regional bivariate modeling of droughts using L-comoments and copulas

The regional bivariate modeling of drought characteristics using the copulas provides valuable information for water resources management and drought risk assessment. The regional frequency analysis (RFA) can specify the similar sites within a region using L-comoments approach. One of the important...

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Vydáno v:Stochastic environmental research and risk assessment Ročník 31; číslo 5; s. 1199 - 1210
Hlavní autoři: Abdi, Amin, Hassanzadeh, Yousef, Talatahari, Siamak, Fakheri-Fard, Ahmad, Mirabbasi, Rasoul
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2017
Springer Nature B.V
Témata:
Aquatic Pollution
Bivariate analysis
Chemistry and Earth Sciences
Coefficients
Computational Intelligence
Computer Science
Drought
Earth and Environmental Science
Earth Sciences
Environment
Environmental risk
Estimation
Frequency analysis
Information dissemination
Information management
Math. Appl. in Environmental Science
Method of moments
Modelling
Optimization
Original Paper
Parameter estimation
Physics
Probability Theory and Stochastic Processes
Regional analysis
Risk assessment
Searching
Statistics for Engineering
Test procedures
Waste Water Technology
Water Management
Water Pollution Control
Water resources
Water resources management
Adjusted charged system search
Bivariate analysis
L-comoments approach
Drought
Copula function
Optimization-based method
ISSN:1436-3240, 1436-3259
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Shrnutí:The regional bivariate modeling of drought characteristics using the copulas provides valuable information for water resources management and drought risk assessment. The regional frequency analysis (RFA) can specify the similar sites within a region using L-comoments approach. One of the important steps in the RFA is estimating regional parameters of the copula function. In the present study, an optimization-based method along with the adjusted charged system search are introduced and applied to estimate the regional parameters of the copula models. The capability of the proposed methodology is illustrated by copula functions on drought events. Three commonly used copulas containing Clayton, Frank and Gumbel are employed to derive the joint distribution of drought severity and duration. The result of the new method are compared to the method of moments and after applying several goodness-of-fit tests, the results indicate that the new method provides higher accuracy than the classic one. Furthermore, the results of the upper tail dependence coefficient indicate that the Gumbel copula is the best-fitted copula among the other ones for modeling drought characteristics.
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ISSN:1436-3240
1436-3259
DOI:10.1007/s00477-016-1222-x