1. Improvement of surface flow network prediction for the modeling of erosion processes in agricultural landscapes
- Author
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A. Couturier, Yves Le Bissonnais, Joël Daroussin, Veronique Souchere, Olivier Cerdan, Frédéric Darboux, Dominique King, Unité de recherche Science du Sol (USS), Institut National de la Recherche Agronomique (INRA), Unité de Science du Sol, Sciences pour l'Action et le Développement : Activités, Produits, Territoires (SADAPT), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), INRA - Mathématiques et Informatique Appliquées (Unité MIAJ), GESSOL research grant from the French Ministry of Environment, ANR VMC program, ANR-06-VULN-0012,MESOEROS21,MEditerranean SOils EROSion and vulnerability to global change during the 21st century(2006), ANR-08-VULN-0006,LANDSOIL,Landscape design for soil conservation under land use and climate change(2008), Laboratoire d'étude des interactions entre sols, agrosystèmes et hydrosystèmes (LISAH), Unité de Science du Sol (Orléans) (URSols), and Couturier, Alain
- Subjects
Geographic information system ,010504 meteorology & atmospheric sciences ,Flood forecasting ,Tillage direction ,01 natural sciences ,Civil engineering ,sig ,Hydrology (agriculture) ,Overland flow ,Modeling ,DEM ,Surface flow pattern ,GIS ,ruissellement pluvial en nappe ,écoulement de surface ,réseau d'écoulement ,[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology ,érosion en nappe ,modèle numérique d'élévation ,0105 earth and related environmental sciences ,Earth-Surface Processes ,modélisation ,ruissellement de surface ,Hydrology ,modélisation des écoulements ,business.industry ,érosion hydrique ,04 agricultural and veterinary sciences ,15. Life on land ,érosion du sol ,Flow network ,travail du sol ,6. Clean water ,système d'information géographique ,modèle prédictif ,Watershed management ,réseau de drainage ,Flow (mathematics) ,040103 agronomy & agriculture ,Erosion ,0401 agriculture, forestry, and fisheries ,Surface runoff ,business ,Geology - Abstract
International audience; Themodeling of soil erosion by water supposes an accurate and thorough understanding of the hydrology. Thus, it is critical to have a good delineation of the surface flow path. The flow network data are critical for important uses such as flood forecasting and watershed management. Geographic Information System (GIS) functions are able to compute a flow network directly from the digital elevation models. Because the flow directions are only based on the topography, the other factors controlling the flow directions are overlooked. In the agricultural areas, work such as tillage can have a large impact on the flow direction. We propose a 5-step procedure to account for such man-made features. The use of this procedure clearly improves the quality of the computed flow network. This procedure has been successfully implemented in a GIS and improves the prediction of surface flow and therefore improves water erosion modeling at the watershed scale.
- Published
- 2013
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