Origin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events

Abstract Floods are among the most common and impactful natural events. The hazard of a flood event depends on its peak (Q), volume (V) and duration (D), which are interconnected to each other. Here, we used a worldwide dataset of daily discharge, two statistics (Kendall’s tau and Spearman’s rho) an...

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Autores principales:	L. Rahimi, C. Deidda, C. De Michele
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9f98347c97504d379220f283d9ab9e64
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spelling	oai:doaj.org-article:9f98347c97504d379220f283d9ab9e642021-12-02T11:37:18ZOrigin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events10.1038/s41598-021-84664-12045-2322https://doaj.org/article/9f98347c97504d379220f283d9ab9e642021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84664-1https://doaj.org/toc/2045-2322Abstract Floods are among the most common and impactful natural events. The hazard of a flood event depends on its peak (Q), volume (V) and duration (D), which are interconnected to each other. Here, we used a worldwide dataset of daily discharge, two statistics (Kendall’s tau and Spearman’s rho) and a conceptual hydrological rainfall-runoff model as model-dependent realism, to investigate the factors controlling and the origin of the dependence between each couple of flood characteristics, with the focus to rainfall-driven events. From the statistical analysis of worldwide dataset, we found that the catchment area is ineffective in controlling the dependence between Q and V, while the dependencies between Q and D, and V and D show an increasing behavior with the catchment area. From the modeling activity, on the U.S. subdataset, we obtained that the conceptual hydrological model is able to represent the observed dependencies between each couple of variables for rainfall-driven flood events, and for such events, the pairwise dependence of each couple is not causal, is of spurious kind, coming from the “Principle of Common Cause”.L. RahimiC. DeiddaC. De MicheleNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q L. Rahimi C. Deidda C. De Michele Origin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events
description	Abstract Floods are among the most common and impactful natural events. The hazard of a flood event depends on its peak (Q), volume (V) and duration (D), which are interconnected to each other. Here, we used a worldwide dataset of daily discharge, two statistics (Kendall’s tau and Spearman’s rho) and a conceptual hydrological rainfall-runoff model as model-dependent realism, to investigate the factors controlling and the origin of the dependence between each couple of flood characteristics, with the focus to rainfall-driven events. From the statistical analysis of worldwide dataset, we found that the catchment area is ineffective in controlling the dependence between Q and V, while the dependencies between Q and D, and V and D show an increasing behavior with the catchment area. From the modeling activity, on the U.S. subdataset, we obtained that the conceptual hydrological model is able to represent the observed dependencies between each couple of variables for rainfall-driven flood events, and for such events, the pairwise dependence of each couple is not causal, is of spurious kind, coming from the “Principle of Common Cause”.
format	article
author	L. Rahimi C. Deidda C. De Michele
author_facet	L. Rahimi C. Deidda C. De Michele
author_sort	L. Rahimi
title	Origin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events
title_short	Origin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events
title_full	Origin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events
title_fullStr	Origin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events
title_full_unstemmed	Origin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events
title_sort	origin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9f98347c97504d379220f283d9ab9e64
work_keys_str_mv	AT lrahimi originandvariabilityofstatisticaldependenciesbetweenpeakvolumeanddurationofrainfalldrivenfloodevents AT cdeidda originandvariabilityofstatisticaldependenciesbetweenpeakvolumeanddurationofrainfalldrivenfloodevents AT cdemichele originandvariabilityofstatisticaldependenciesbetweenpeakvolumeanddurationofrainfalldrivenfloodevents
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Origin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events

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