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Spatialisation et modélisation de l'état hydrique des sols pour l'étude des processus de formation des écoulements en contexte torrentiel : application au bassin versant marneux du Laval (ORE Draix-Bléone, Alpes-De-Haute-Provence, France)

Abstract : Hydrologists need to know soil moisture antecedent conditions before rainfall events to improve floodforecasting in torrential catchments. Soil moisture mapping, whose variations are mainly influenced bytopography, vegetation cover, and heterogeneity of soil properties, is therefore a valuable tool to studyhydrological processes. This work adresses the issue of the spatio-temporal variations of soil water statusspatialization using geostatistical and hydrological modeling applied to the Laval marly experimental catchment(0.86 km², ORE Draix-Bléone, France). In situ monitoring of rainfall events from May 2015 to November 2016revealed a significant relationship between soil water content, topography and land cover in the badlands. Italso led to better assess soil water content spatio-temporal dynamics at the hillslope scale and the seasonaland event time scales. It confirmed the major contribution of bare areas to stream flows. Eventually, thehydrological modeling associated to the chemical and isotopic water tracing made it possible to better understand the spatial organization of the catchment hydrological response at the event scale.
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Florian Mallet. Spatialisation et modélisation de l'état hydrique des sols pour l'étude des processus de formation des écoulements en contexte torrentiel : application au bassin versant marneux du Laval (ORE Draix-Bléone, Alpes-De-Haute-Provence, France). Autre [q-bio.OT]. Université d'Avignon, 2018. Français. ⟨NNT : 2018AVIG0055⟩. ⟨tel-01914950⟩

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