Improvement of surface flow network prediction for the modeling of erosion processes in agricultural landscapes - BRGM - Bureau de recherches géologiques et minières Access content directly
Journal Articles Geomorphology Year : 2013

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

Abstract

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.

Domains

Geomorphology
Fichier principal
Vignette du fichier
2013_Couturier_Geomorphology_postprint_2.pdf (2.91 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

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

Identifiers

Cite

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⟩
212 View
134 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More