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Joint probabilistic assessments of four-dimensional flood characteristics using the vine copula-based methodology.

Jafry, N. A.; Suhaila, Jamaludin; Yusof, F.; Nor, S. R. M.; Alias, N. E. et Shahid, Latif (2024). Joint probabilistic assessments of four-dimensional flood characteristics using the vine copula-based methodology. Environmental Earth Sciences , vol. 83 , nº 16. p. 470. DOI: 10.1007/s12665-024-11743-7.

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Résumé

Copula is a highly flexible joint distribution tool that models its univariate margins and joint dependence separately compared to conventional parametric distribution. The flood can be characterized by multiple interconnected variables, such as peak flow, flood volume, duration, and peak time. This makes a univariate or bivariate joint approach ineffective for risk assessments. Current researchers have worked on trivariate copula modeling, but there are a couple of drawbacks that make this approach unfavourable such as only small number of copula families are applicable for higher dimensional copula modeling. Due to this, only a small number of studies have attempted to predict the flood characteristics using copulas with more than three variables involved. For this reason, the use of vine copula was introduced for the purpose of improving the functionality of higher dimensional copulas, making them a useful and adaptable tool for determining the dependence between complicated paired dependent variables. This study provides an alternative approach to compute the flood characteristics using L-moment method. The results show that the proposed approach is reliable when compared with simulated data. This paper reveals that Gumbel copula successfully employed the vine copula modeling of four-dimensional flood characteristics in Johor River Basin, Malaysia. This study investigates return periods for the first time, taking four important flood variables into account. Based on all scenarios, including bivariate, trivariate, and four-dimensional, the results show that the “OR” joint return period is lower and more likely to occur than the “AND” joint return period.

Type de document: Article
Mots-clés libres: vine copula; flood; peak time; L-moment; return period
Centre: Centre Eau Terre Environnement
Date de dépôt: 08 nov. 2024 21:47
Dernière modification: 08 nov. 2024 21:47
URI: https://espace.inrs.ca/id/eprint/15990

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