Simulation of the occurrence of drought events via copulas

ABSTRACT This study presents a method based on Archimedean and Gaussian copulas to simulate the occurrence of hydrological droughts. The droughts were characterized by theory of runs for four threshold levels and six univariate probability distributions were evaluated to represent the probabilistic...

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Main Authors: Rogério de Almeida, Paulo Sérgio Franco Barbosa
Format: Article
Language:English
Published: Associação Brasileira de Recursos Hídricos 2020-01-01
Series:Revista Brasileira de Recursos Hídricos
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100206&tlng=en
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author Rogério de Almeida
Paulo Sérgio Franco Barbosa
author_facet Rogério de Almeida
Paulo Sérgio Franco Barbosa
author_sort Rogério de Almeida
collection DOAJ
description ABSTRACT This study presents a method based on Archimedean and Gaussian copulas to simulate the occurrence of hydrological droughts. The droughts were characterized by theory of runs for four threshold levels and six univariate probability distributions were evaluated to represent the probabilistic behavior of their severities and durations. The Akaike Information Criterion was used to select the better univariate probabilistic models, while their hypotheses of goodness-of-fit to the historical data were evaluated by Kolmogorov-Smirnov test. Based on the univariate probability distributions of severities and durations, Archimedean and Gaussian copulas were used in the bivariate analysis of the drought events. The proposed method proves to be a useful tool to simulate the occurrence of drought events, preserving the laws of probability of the severities and durations and the dependency between both.
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spelling doaj.art-1a407f25206e4c7eaa193f6e2ae3775d2022-12-21T17:21:33ZengAssociação Brasileira de Recursos HídricosRevista Brasileira de Recursos Hídricos2318-03312020-01-012510.1590/2318-0331.252020180182Simulation of the occurrence of drought events via copulasRogério de Almeidahttps://orcid.org/0000-0002-0469-3233Paulo Sérgio Franco BarbosaABSTRACT This study presents a method based on Archimedean and Gaussian copulas to simulate the occurrence of hydrological droughts. The droughts were characterized by theory of runs for four threshold levels and six univariate probability distributions were evaluated to represent the probabilistic behavior of their severities and durations. The Akaike Information Criterion was used to select the better univariate probabilistic models, while their hypotheses of goodness-of-fit to the historical data were evaluated by Kolmogorov-Smirnov test. Based on the univariate probability distributions of severities and durations, Archimedean and Gaussian copulas were used in the bivariate analysis of the drought events. The proposed method proves to be a useful tool to simulate the occurrence of drought events, preserving the laws of probability of the severities and durations and the dependency between both.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100206&tlng=enDroughtsHydrological droughtsArchimedean copulasGaussian copulaTheory of runsFrequency analysis
spellingShingle Rogério de Almeida
Paulo Sérgio Franco Barbosa
Simulation of the occurrence of drought events via copulas
Revista Brasileira de Recursos Hídricos
Droughts
Hydrological droughts
Archimedean copulas
Gaussian copula
Theory of runs
Frequency analysis
title Simulation of the occurrence of drought events via copulas
title_full Simulation of the occurrence of drought events via copulas
title_fullStr Simulation of the occurrence of drought events via copulas
title_full_unstemmed Simulation of the occurrence of drought events via copulas
title_short Simulation of the occurrence of drought events via copulas
title_sort simulation of the occurrence of drought events via copulas
topic Droughts
Hydrological droughts
Archimedean copulas
Gaussian copula
Theory of runs
Frequency analysis
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100206&tlng=en
work_keys_str_mv AT rogeriodealmeida simulationoftheoccurrenceofdroughteventsviacopulas
AT paulosergiofrancobarbosa simulationoftheoccurrenceofdroughteventsviacopulas