Improvement of surface flow network prediction for the modeling of erosion processes in agricultural landscapes - BRGM - Bureau de recherches géologiques et minières
Article Dans Une Revue Geomorphology Année : 2013

Improvement of surface flow network prediction for the modeling of erosion processes in agricultural landscapes

Résumé

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.

Domaines

Géomorphologie
Fichier principal
Vignette du fichier
2013_Couturier_Geomorphology_postprint_2.pdf (2.91 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00780330 , version 1 (29-05-2020)

Identifiants

Citer

Alain Couturier, Joël Daroussin, Frédéric Darboux, Véronique Souchère, Yves Le Bissonnais, et al.. Improvement of surface flow network prediction for the modeling of erosion processes in agricultural landscapes. Geomorphology, 2013, 183, pp.120-129. ⟨10.1016/j.geomorph.2012.07.025⟩. ⟨hal-00780330⟩
256 Consultations
202 Téléchargements

Altmetric

Partager

More