Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends

<p>Modeling of extremes dry spells in Northern Tunisia, in order to detect the severity of the phenomenon, is carried out. Dry events are considered as a sequence of dry days (below a threshold) separated by rainfall events from each other. The maximum dry event duration follows the Generalize...

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Autores principales:	M. Mathlouthi, F. Lebdi
Formato:	article
Lenguaje:	EN
Publicado:	Copernicus Publications 2021
Materias:	Environmental sciences GE1-350 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/fd0fbf6b31df443fa223ebdab1165344
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spelling	oai:doaj.org-article:fd0fbf6b31df443fa223ebdab11653442021-11-16T07:09:05ZEstimation of dry events duration in Northern Tunisia – Analysis of extremes trends10.5194/piahs-384-195-20212199-89812199-899Xhttps://doaj.org/article/fd0fbf6b31df443fa223ebdab11653442021-11-01T00:00:00Zhttps://piahs.copernicus.org/articles/384/195/2021/piahs-384-195-2021.pdfhttps://doaj.org/toc/2199-8981https://doaj.org/toc/2199-899X<p>Modeling of extremes dry spells in Northern Tunisia, in order to detect the severity of the phenomenon, is carried out. Dry events are considered as a sequence of dry days (below a threshold) separated by rainfall events from each other. The maximum dry event duration follows the Generalized Extreme Value distribution. The data series adherence to the probability distribution was verified by the Anderson-Darling test. The positive trend and non-stationarity of dry spells was verified respectively by the Mann–Kendall test and Dickey–Fuller and augmented Dickey–Fuller tests. The irregular distribution of rainfall in the growing season for Sidi Abdelbasset station has increased the number of dry spells. The increase of rainy days in Ghézala dam and Sidi Salem gauge stations resulted in a decrease of dry spells in this area. Regarding the return period of one year (wet season), dry events occurred from 14 to 27 d in this region constitute an agricultural potential risk. The Southern region was the most vulnerable.</p>M. MathlouthiF. LebdiCopernicus PublicationsarticleEnvironmental sciencesGE1-350GeologyQE1-996.5ENProceedings of the International Association of Hydrological Sciences, Vol 384, Pp 195-201 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Environmental sciences GE1-350 Geology QE1-996.5
spellingShingle	Environmental sciences GE1-350 Geology QE1-996.5 M. Mathlouthi F. Lebdi Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends
description	<p>Modeling of extremes dry spells in Northern Tunisia, in order to detect the severity of the phenomenon, is carried out. Dry events are considered as a sequence of dry days (below a threshold) separated by rainfall events from each other. The maximum dry event duration follows the Generalized Extreme Value distribution. The data series adherence to the probability distribution was verified by the Anderson-Darling test. The positive trend and non-stationarity of dry spells was verified respectively by the Mann–Kendall test and Dickey–Fuller and augmented Dickey–Fuller tests. The irregular distribution of rainfall in the growing season for Sidi Abdelbasset station has increased the number of dry spells. The increase of rainy days in Ghézala dam and Sidi Salem gauge stations resulted in a decrease of dry spells in this area. Regarding the return period of one year (wet season), dry events occurred from 14 to 27 d in this region constitute an agricultural potential risk. The Southern region was the most vulnerable.</p>
format	article
author	M. Mathlouthi F. Lebdi
author_facet	M. Mathlouthi F. Lebdi
author_sort	M. Mathlouthi
title	Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends
title_short	Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends
title_full	Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends
title_fullStr	Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends
title_full_unstemmed	Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends
title_sort	estimation of dry events duration in northern tunisia – analysis of extremes trends
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/fd0fbf6b31df443fa223ebdab1165344
work_keys_str_mv	AT mmathlouthi estimationofdryeventsdurationinnortherntunisiaanalysisofextremestrends AT flebdi estimationofdryeventsdurationinnortherntunisiaanalysisofextremestrends
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Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends

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