Utilisation de SHETRAN pour la modélisation de l'impact du reboisement des badlands sur le ruissellement et l'érosion à Draix

Autor: Bathurst, J., Lukey, B., Sheffield, J., Mathys, N.
Přispěvatelé: Irstea Publications, Migration, WRSRL UNIVERITY OF NEWCASTLE GBR, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Érosion torrentielle, neige et avalanches (UR ETGR (ETNA)), Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF)
Jazyk: angličtina
Rok vydání: 1998
Předmět:
Zdroj: IAHS-AISH publication = International Association of Hydrological Sciences-Association Internationale des Sciences Hydrologiques publication
IAHS-AISH publication = International Association of Hydrological Sciences-Association Internationale des Sciences Hydrologiques publication, International Association of Hydrological Sciences, 1998, pp.129-136
ISSN: 0144-7815
Popis: International audience; The physically-based, distributed flow and sediment transport modelling system SHETRAN was applied to the Draix basins to test its ability to represent badlands flow and erosion response, to quantify characteristic parameter values and to investigate spatial scale effects in badlands modelling. A unit gully, area 0.133 ha, was simulated using a 5-m grid resolution model and a single cell model, with comparable results. Application of the modes to a badlands basin, area 86 ha, suggests that transfer of parameter sets from the gully scale to a larger scale may be feasible but, given uncertainty in parameter evaluation, a separate calibration still yields improved results. Considering the flashy basin responses, satisfactory flow simulations were achieved using physically realistic parameter values, and sediment yields were well simulated within the bounds of uncertainty. Any scale effects which may distinguish the gully and basin simulations are masked by the uncertainty in parameter evaluation.
Databáze: OpenAIRE