Statistical detection and no-detection of rainfall change trends and breaks in semiarid Tunisia50+years over the Merguellil agro-hydro-climatic reference basin

Autor: Asma Jaberi, Rogez Calvez, Christophe Cudennec, Mohamed Slimani, Fethi Lachaal, Sameh Chargui
Přispěvatelé: Water Research and Technology Centre, Partenaires INRAE, Université de Gabès, Sol Agro et hydrosystème Spatialisation (SAS), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), Gestion de l'Eau, Acteurs, Usages (UMR G-EAU), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut de Recherche pour le Développement (IRD [France-Sud])-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech, Institut National Agronomique de Tunisie (INAT), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), Laboratoire STE, Institut National de la Recherche Agronomique de Tunisie (INRAT), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Arabian Journal of Geosciences
Arabian Journal of Geosciences, Springer, 2018, 11 (21), ⟨10.1007/s12517-018-4001-9⟩
Arabian Journal of Geosciences, 2018, 11
ISSN: 1866-7511
Popis: International audience; Rainfall variability is an important feature of semiarid climates with major effects on hydrology, and beyond on key water-dependent societal aspects. Eventual changes in rainfall variability are a strong driver of change of hydrological processes, resources, and hazards, up to catchment signatures and spatial arrangements. We deal with observed precipitations and subsequent statistical coefficients available from a network of 15 rainfall gauges over and around the Merguellil catchment (1175km(2)), with series ranging up to the 1961-2013 period. We look for eventual annual trends and breakpoints with a set of methods: Mann Kendall test, Pettitt test, Hubert segmentation procedure, Buishand U statistic, and Lee Heghinian Bayesian procedure. The results underline oscillation of dry and wet periods; several studied rain gauges (Tella, Oueslatia foret, Majbar, Kesra foret, Henchir Bhima, and Haffouz DGRE) denote significant trends in annual precipitation. Some breaks are detected but they are not synchronous. These methods reveal the variability of rainfall regimes in the semiarid region and provide a synoptic view of detection and no-detection of symptoms of change. This work gives opportunities to water stakeholders and climate experts in understanding the relationships between climate variability and water availability.
Databáze: OpenAIRE