On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization

In previous studies, beta-k distribution and distribution functions strongly related to that, have played important roles in representing extreme events. Among these distributions, the Beta-Singh-Maddala turned out to be adequate for modelling hydrological extreme events. Starting from this distribu...

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Autores principales: Domma, Filippo, Condino, Francesca, Franceschi, Sara, De Luca, Davide Luciano, Biondi, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477834/
https://www.ncbi.nlm.nih.gov/pubmed/36109545
http://dx.doi.org/10.1038/s41598-022-19802-4
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author Domma, Filippo
Condino, Francesca
Franceschi, Sara
De Luca, Davide Luciano
Biondi, Daniela
author_facet Domma, Filippo
Condino, Francesca
Franceschi, Sara
De Luca, Davide Luciano
Biondi, Daniela
author_sort Domma, Filippo
collection PubMed
description In previous studies, beta-k distribution and distribution functions strongly related to that, have played important roles in representing extreme events. Among these distributions, the Beta-Singh-Maddala turned out to be adequate for modelling hydrological extreme events. Starting from this distribution, the aim of the paper is to express the model as a function of indexes of hydrological interest and simultaneously investigate on their dependence with a set of explanatory variables in such a way to explore on possible determinants of extreme hydrologic events. Finally, an application to a real hydrologic dataset is considered in order to show the potentiality of the proposed model in describing data and in understanding effects of covariates on frequently adopted hydrological indicators.
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spelling pubmed-94778342022-09-17 On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization Domma, Filippo Condino, Francesca Franceschi, Sara De Luca, Davide Luciano Biondi, Daniela Sci Rep Article In previous studies, beta-k distribution and distribution functions strongly related to that, have played important roles in representing extreme events. Among these distributions, the Beta-Singh-Maddala turned out to be adequate for modelling hydrological extreme events. Starting from this distribution, the aim of the paper is to express the model as a function of indexes of hydrological interest and simultaneously investigate on their dependence with a set of explanatory variables in such a way to explore on possible determinants of extreme hydrologic events. Finally, an application to a real hydrologic dataset is considered in order to show the potentiality of the proposed model in describing data and in understanding effects of covariates on frequently adopted hydrological indicators. Nature Publishing Group UK 2022-09-15 /pmc/articles/PMC9477834/ /pubmed/36109545 http://dx.doi.org/10.1038/s41598-022-19802-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Domma, Filippo
Condino, Francesca
Franceschi, Sara
De Luca, Davide Luciano
Biondi, Daniela
On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization
title On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization
title_full On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization
title_fullStr On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization
title_full_unstemmed On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization
title_short On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization
title_sort on the extreme hydrologic events determinants by means of beta-singh-maddala reparameterization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477834/
https://www.ncbi.nlm.nih.gov/pubmed/36109545
http://dx.doi.org/10.1038/s41598-022-19802-4
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