Belgique ; Erosion des sols ; Modèle ; Modèle numérique de terrain ; Pratique culturale ; Ruissellement ; Utilisation agricole du sol ; Versant
Agricultural land use ; Agricultural practice ; Belgium ; Digital elevation model ; Model ; Rill wash ; Slope ; Soil erosion
A model, the Tillage-Controlled Runoff Pattern model (TCRP model) was developed to create a runoff pattern with flow in the direction of the plough-lines for all tilled fields within a catchment. The model needs a digital elevation model (DEM
), a landuse map and the major tillage orientation per tilled field as input. Runoff patterns created with the model could be used in any raster-based erosion model. The effect of the runoff pattern on simulated erosion patterns is shown for one field using
This study presents a sensitivity analysis of the soil erosion model LISEM, whereby not only the sensitivity to parameter values is considered, but attention is focused on the effects of process descriptions and the routing of overland flow
. As erosion models include a wide range of processes (i.e. rainfall, interception, surface storage, overland flow, soil erosion and deposition), this implies that only a relatively small fraction of all possible variations is explored here.
Spatially distributed data for erosion model calibration and validation : the Ganspoel and Kinderveld datasets
Bassin-versant ; Belgique ; Distribution spatiale ; Ecoulement ; Erosion des sols ; Loess ; Modèle ; Précipitation ; Ravinement ; Utilisation agricole du sol
Agricultural land use ; Belgium ; Gully erosion ; Loess ; Model ; Precipitation ; Runoff ; Soil erosion ; Spatial distribution ; Watershed
The AA. describe a dataset that offers possibilities for improved evaluation and parameterisation of spatially distributed soil erosion models. The dataset combines rainfall, runoff and sediment discharge data collected at the outlet and field
surveys within the catchments that describe soil surface charcteristics and soil erosion features. The paper dicusses and illustrates the use of the dataset to narrow uncertainties associated with model predictions.