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.
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. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 12:1(2022). [10.1038/S41598-022-19802-4]
On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization
De Luca, Davide LucianoPenultimo
;
2022
Abstract
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.| File | Dimensione | Formato | |
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Domma_On-the-extreme-hydrologic_2022.pdf
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