Journal ArticleDOI
Spatial modeling of soil erosion potential in a tropical watershed of the Colombian Andes
TLDR
In this paper, the authors used the Revised Universal Soil Loss Equation (RUSLE) in a GIS environment to assess the erosion potential of a 58 km2 watershed in the coffee growing region of the Colombian Andes.Abstract:
Soil erosion potential of a 58 km2 watershed in the coffee growing region of the Colombian Andes was assessed using the Revised Universal Soil Loss Equation (RUSLE) in a GIS environment. The RUSLE factors were developed from local rainfall, topographic, soil and land use data. Seasonal erosivity factors (R) were calculated for six pluviographic stations (1987–1997) located within 22 km of the basin. Two regression models, one for the wet and one for the dry seasons, were created and used to estimate seasonal erosivity for 10 additional stations with pluviometric data. Erosivity was on average higher in the wet seasons (4686 MJ mm ha− 1 h− 1 season− 1) than the dry ones (2599 MJ mm ha− 1 h− 1 season− 1). Seasonal erosivity surfaces were generated using the local polynomial interpolation method, and showed increases from west to east in accordance with regional elevation. Soil erodibility was calculated from field measurements of water stable aggregates (> 2 mm) and infiltration, which were influenced by land use. Three erodibility scenarios were considered (high, average and low) to represent the variability in infiltration measurements within each land use. The topographic and land cover factors were developed from existing contour and land use data. Model results indicated that in the dry seasons, and under the average erodibility scenario, 534 ha (11%) of the basin's rural area were within the extreme erosion potential category (above 3.5 t ha− 1 season− 1). During the wet seasons, this area increased to 1348 ha (28%). In general, areas under forest and shrub had low erosion potential values, while those under coffee and pasture varied according to topography. Modeling of probable land use change scenarios indicated that the erosion potential of the basin would decrease as a result of coffee conversion to pasture.read more
Citations
More filters
Journal ArticleDOI
Effects of biochar on soil properties and erosion potential in a highly weathered soil
Shih-Hao Jien,Chien Sheng Wang +1 more
TL;DR: In this article, the authors evaluated the influence of biochar made from the waste wood of white lead trees ( Leucaena leucocephala (Lam.) de Wit) on the physicochemical and biological properties of long-term cultivated, acidic Ultisol.
Journal ArticleDOI
Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology
TL;DR: In this article, a comprehensive methodology that integrates Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) techniques was adopted to determine the soil erosion vulnerability of a forested mountainous subwatershed in Kerala, India.
Journal ArticleDOI
Impacts of climate change on water erosion: A review
Zhiying Li,Haiyan Fang +1 more
TL;DR: In this article, the authors reviewed the achievements regarding the impacts of climate change such as changed rainfall, vegetation cover, and land management on water erosion and pointed out the critical research needs to better understand and predict the responses of soil erosion to a changing climate in the future.
Journal ArticleDOI
The water footprint of coffee and tea consumption in the Netherlands
TL;DR: In this article, the authors assess the global water footprint of the Dutch society in relation to its coffee and tea consumption and find that Dutch people account for 2.4% of the world coffee consumption.
Journal ArticleDOI
Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: An application model for Calabria (southern Italy)
TL;DR: In this article, the authors compared the scenarios obtained by assuming control and preventive measures and actions, as well as actual conditions generated by forest fires, also in the presence of conditions of maximum rainfall erosion.
References
More filters
Book
Predicting rainfall erosion losses : a guide to conservation planning
W. H. Wischmeier,Dwight D. Smith +1 more
TL;DR: The Universal Soil Loss Equation (USLE) as discussed by the authors is a model designed to predict the average rate of soil erosion for each feasible alternative combination of crop system and management practices in association with a specified soil type, rainfall pattern and topography.
Book
Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE)
TL;DR: Renard, K.G., G.R.Weesies, D.K. McCool, and D.C. Yoder as mentioned in this paper have developed an erosion model predicting the average annual soil loss.
Journal ArticleDOI
Geomorphic/Tectonic Control of Sediment Discharge to the Ocean: The Importance of Small Mountainous Rivers
TL;DR: In this paper, data from 280 rivers discharging to the ocean indicates that sediment loads/yields are a log-linear function of basin area and maximum elevation of the river basin.
Book
Soil Erosion and Conservation
TL;DR: In this article, a review of worldwide land degradation problems is presented, focusing on delineating and estimating the magnitude of soil erosion, quantifying erosion and sedimentation impacts on land productivity, establishing quantitative values for erosion-causing parameters, and implementing global and regional soil and water conservation programs.
Journal ArticleDOI
The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models
TL;DR: In this paper, the authors examined some of the problems of deriving flow pathways from raster digital terrain data in the context of hydrological predictions using TOPMODEL and proposed a strategy for the case where downslope subsurface flow pathways may deviate from those indicated by the surface topography.
Related Papers (5)
Predicting rainfall erosion losses : a guide to conservation planning
W. H. Wischmeier,Dwight D. Smith +1 more