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Master Thesis

Comprendre et prédire l'effet des modes de conduite des vignes sur la genèse du ruissellement

Abstract : In the process to combat runoff in Alsace (France), the ARAA/CRAGE has developed an indicator of dynamic of runoff (IDR) to predict, depending on soil type, soil surface characteristics (SSC) and climate, the runoff production of arable crop systems. The aim of this study was to adapt this indicator to wine-growing systems. Monitoring data (2015-2019) from the SSC, infiltrometry (Beerkan) and runoff from 6 vine management methods were used to identify hydrologically homogeneous surfaces, factors of runoff variation and their influences according to soil practice (grassing, mulching and tillage). These surfaces and factors are then used to configure the IDR-Vine and to simulate runoff. The results show the practice effect on hydrological properties. Covering 20% of the surface with wood residue or 40% with vegetation can significantly reduce runoff. Significant correlations were observed between (i) hydraulic saturation conductivity and bulk density (-0.7); (ii) sorptivity and residue coverage (0.5), initial soil water content (0.45). The general linear model selected cover (vegetation and tailings), crust and rainfall intensity as factors of runoff variation. The first simulations of the IDR-Vine are encouraging. Runoff periods are well simulated, but the indicator still lacks sensitivity.
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Master Thesis
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Submitted on : Friday, November 15, 2019 - 10:55:18 AM
Last modification on : Wednesday, April 6, 2022 - 4:08:08 PM
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  • HAL Id : dumas-02364890, version 1



Adama Diedhiou. Comprendre et prédire l'effet des modes de conduite des vignes sur la genèse du ruissellement. Sciences du Vivant [q-bio]. 2019. ⟨dumas-02364890⟩



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