Assessment of soil erosion rate and hotspot areas using RUSLE and multi-criteria evaluation technique at Jedeb watershed, Upper Blue Nile, Amhara Region, Ethiopia
Tseganeh Getnet,Arega Mulu +1 more
- Vol. 4, pp 100174
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TLDR
In this paper, the authors evaluated soil erosion rate and identified soil erosion hotspot areas as well as to identify gulley locations using Revised Universal Soil Loss Equation (RUSLE), Multi-criteria Evaluation Analysis Techniques, and Geographic Information System (GIS).Abstract:
Soil erosion is a difficult forceful practice by which useful surface soil is removed, conveyed, and stored at a detached place causing the exposure of subsurface soil and siltation in reservoirs and natural streams. It also degraded different agricultural areas at different rates and different locations as well as created gulleys, but these degraded areas, degradation rates, and gulley locations were not well identified and quantified. Therefore; the core objective of this study is to evaluate soil erosion rate and to identify soil erosion hotspot areas as well as to identify gulley locations using Revised Universal Soil Loss Equation (RUSLE), Multi-criteria Evaluation Analysis Techniques, and Geographic Information System (GIS). Land Use/Land Cover (LU/LC) map, slope map, rainfall map, and Digital Elevation Model (DEM) were the necessary inputs used for this study. The results of this study indicated that the potential annual soil loss of the watershed ranged from 0.0 to 706.7 tons per hectare per year with an average annual soil loss rate of 27.7 tons per hectare per year. From the total area of the watershed (859.2 km2), the potential area for gully expansion is 63km2. The overall analysis indicated that 4.8% of the total watershed is highly sensitive; 54.24% is moderately sensitive; 17.69% is marginally sensitive while, 23.28% is currently not sensitive and the remaining 0.06% is a /constraint to erosion. Hence, the Areas which were categorized under highly and moderately sensitive classes needed direct mediation for better conservation planning. It is concluded that Gulley, LU/LC, Topographical wetness index, and soil types are factors that enable soil erosion from high to low, respectively. It is recommended that the concerned bodies should have to take care of the area from further soil erosion through creating awareness among the society about the sustainable use of natural resources and conservation methods.read more
Citations
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Journal ArticleDOI
Global-scale application of the RUSLE model: a comprehensive review
Mithlesh Kumar,Ambika Prasad Sahu,Narayan Sahoo,Sonam Sandeep Dash,S. K. Raul,Balram Panigrahi +5 more
TL;DR: In this paper , a global-scale review of the RUSLE model application was carried out to identify the best possible conditions for its reliable application and the conditions where it yielded poor performance.
Journal ArticleDOI
Potential soil loss estimation for conservation planning, upper Blue Nile Basin, Ethiopia
Nega Tamene Endalamaw,Mamaru A. Moges,Yadeta Saketa Kebede,Bekalu M. Alehegn,Berhanu G. Sinshaw +4 more
TL;DR: In this article, the authors used the Revised Universal Soil Loss Equation (RUSLE) model with ArcGIS and Multi Criteria Evaluation (MCE) technique to estimate the annual soil loss rate and to identify high erosion risk areas in Gilegel beles watershed with a size of 770 km2, to prioritize area for conservation planning.
Journal ArticleDOI
Analysis of Spatial Variability and Influencing Factors of Soil Nutrients in Western China: A Case Study of the Daliuta Mining Area
TL;DR: In this paper , the authors analyzed the spatial variability of soil nutrients using traditional statistics and geostatistics, and the effects of topography, mining history, and soil erosion were discussed.
Journal ArticleDOI
Soil loss estimation and severity mapping using the RUSLE model and GIS in the Megech watershed, Ethiopia
TL;DR: In this article , the authors focused on quantifying soil erosion rate and severity mapping of the Megech watershed for effective planning and decision-making processes to implement protection measures using the RUSLE model integrated with ArcGIS software.
References
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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
Gully erosion and environmental change: importance and research needs
TL;DR: In this article, the authors highlight the need for monitoring, experimental and modelling studies of gully erosion as a basis for predicting the effects of environmental change (climatic and land use changes) on gully degradation rates.
Journal ArticleDOI
Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin
B.P. Ganasri,H. Ramesh +1 more
TL;DR: In this paper, the authors used the Revised Universal Soil Loss Equation (RUSLE) integrated with GIS to estimate soil loss in the Nethravathi Basin located in the southwestern part of India.
Journal Article
Length-slope factors for the Revised Universal Soil Loss Equation: simplified method of estimation
Ian D. Moore,John Wilson +1 more
TL;DR: In this paper, a dimensionless sediment transport capacity index that is a non-linear function of specific discharge and slope was derived by considering the transport capacity limiting sediment flux in the Hairsine-Rose, WPP, and catchment evolution erosion theories.