Title of article :
Wind erosion modelling in a Sahelian environment
Author/Authors :
S.M. Visser)، نويسنده , , G. Sterk، نويسنده , , D. Karssenberg، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2005
Abstract :
In the Sahel field observations of wind-blown mass transport often show considerable spatial variation related to the spatial
variation of the wind erosion controlling parameters, e.g. soil crust and vegetation cover. A model, used to predict spatial variation
in wind erosion and deposition is a useful tool in the implementation of wind erosion control measures in the Sahel. The aim of this
paper was to test two existing wind erosion models on spatial predictions of aeolian mass transport for Sahelian conditions. Field
data from Burkina Faso were used to test an empirical (RWEQ) and a deterministic (WEPS) model.
The revised wind erosion equation (RWEQ) poorly predicted maximum mass transport and so spatial predictions of mass
transport were underestimated. Major constraints of RWEQ for application in the Sahel were the required non-eroding boundary
and the fact that RWEQ assumes a more or less homogeneous field. It was concluded that RWEQ in its current state was not
suitable for application in a Sahelian environment.
With the correct roughness length (Z0), wind erosion prediction system (WEPS) correctly predicted friction velocity and
initiation and cessation of mass transport. Furthermore, the model gave a reasonable prediction of the spatial distribution of mass
transport at the research sites. It was concluded that WEPS in PCRaster is suitable for prediction of wind erosion in a Sahelian
environment. A constraint of WEPS in PCRaster is that WEPS’ predictions of spatial variation in sediment transport are closely
linked to the spatial variation in the input parameters. A good estimation of the spatial variation of the input parameters was
required. Obtaining these might be an expensive exercise and could make its use in the Sahel difficult.
Journal title :
Environmental Modelling and Software
Journal title :
Environmental Modelling and Software