Belgium ; Digital elevation model ; Holocene ; Loess ; Model ; Palaeogeography ; Palaeogeomorphology ; Soil erosion ; Topography ; Watershed
The AA. present a topography based hillslope erosion and deposition model that is based on the WATEM/SEDEM model structure and works on a millennial time scale. Soil erosion, transport and deposition are calculated using slope and unit contributing
area. The topography is iteratively rejuvenated by taking into account modelled erosion and deposition rates, thereby simulating topographic development backwards in time. The model is spatially evaluated, using detailed estimates for historical soil
erosion and show that the model can simulate realistic soil redistribution patterns.
Ecoulement superficiel ; Erosion des sols ; Expérimentation ; Modèle ; Probabilité ; Transport solide ; Turbulence
Experimentation ; Model ; Overland flow ; Probability ; Sediment transport ; Soil erosion ; Turbulence
Threshold conditions for entrainment of gravel by concentrated overland flow are here discussed. The measured data indicate that cohesive forces may arise and must be taken into account by the models describing grain entrainment. Some models
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.
Specific sediment yield in Tigray-Northern Ethiopia : assessment and semi-quantitative modelling
Bassin-versant ; Bilan sédimentaire ; Erosion des sols ; Ethiopie ; Gestion de l'eau ; Lac artificiel ; Modèle ; Sédimentation
Ethiopia ; Model ; Reservoir ; Sediment budget ; Sedimentation ; Soil erosion ; Water management ; Watershed
Sediment deposition in reservoirs is a serious off-site consequence of soil erosion in Tigray. Field rating of catchment characteristics and the sediment yield data from the reservoir survey were used for calibration and validation of the models
Bassin-versant ; Bilan sédimentaire ; Domaine méditerranéen ; Erosion des sols ; Glissement de terrain ; Italie ; Modèle ; Prévision
Forecast ; Italy ; Landslide ; Mediterranean area ; Model ; Sediment budget ; Soil erosion ; Watershed
sediment delivery rates with increasing catchment area. Furthermore, this positive relation suggests that processes other than upland erosion are responsible for catchment sediment yield. Here, the AA. explore the potential of the Factoring Scoring Model
(FSM) and the Pacific Southwest Interagency Committee (PSIAC) model to predict sediment yield and indicate the most important sediment sources.
Action anthropique ; Années 1952-1996 ; Ardenne ; Belgique ; Couvert végétal ; Distribution spatiale ; Dynamique de versant ; Glissement de terrain ; Modèle numérique de terrain ; Mouvement de masse ; Photogrammétrie ; Précipitation ; Versant
Ardenne ; Belgium ; Digital elevation model ; Human impact ; Landslide ; Mass movement ; Photogrammetry ; Plant canopy ; Precipitation ; Slope ; Slope dynamics ; Spatial distribution
The aim of this study is to better understand the current activity of the landslides in the Flemish Ardennes. Based on accurate multi-temporal digital terrain models (DTMs), the AA. map first the areas of ground movement, then they analyse
will have the same causal factors as the landslides initiated in the past. Significant model results were obtained, with pre-landslide hillslope gradient and 3 different clayey lithologies being important predictor variables. Receiver Operating
Characteristics (ROC) curves and the Kappa index were used to validate the model. The results allow to conclude that the model is capable of predicting hillslope sections prone to landsliding.