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ESTIMATION OF SOIL LOSSES BY THE IMPROVED TILLAGE HOMOGENIZATION MODEL AND RUSLE MODEL [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Soil erosion by water is a major environmental problem in the Mediterranean areas. It results in land degradation and soil losses, decreases soil structural stability, and increases soil erodibility.
S. Bouhlassa, N. Bouhsane
doaj   +3 more sources

Improving the global applicability of the RUSLE model – adjustment of the topographical and rainfall erosivity factors [PDF]

Geoscientific Model Development, 2015
Large uncertainties exist in estimated rates and the extent of soil erosion by surface runoff on a global scale. This limits our understanding of the global impact that soil erosion might have on agriculture and climate.
V. Naipal, C. Reick, J. Pongratz, K. Van Oost   +3 more
doaj   +7 more sources

Adaptability analysis and model development of various LS-factor formulas in RUSLE model: A case study of Fengyu River Watershed, China

Geoderma, 2023
The slope length and slope steepness factor (LS-factor) formula in the Revised Universal Soil Loss Equation (RUSLE) has a considerable level of uncertainty due to the existence of multiple methods. In this study, four commonly used formulas for the slope
Tianpeng Zhang, Qiuliang Lei, Xinzhong Du, Jiafa Luo, Miaoying An, Bingqian Fan, Ying Zhao, Shuxia Wu, Yonggang Ma, Hongbin Liu   +9 more
doaj   +3 more sources

A new approach to estimate cover-management factor of RUSLE and validation of RUSLE model in the watershed of Kartalkaya Dam

Journal of Hydrology, 2015
RUSLE is one of the most widely used soil erosion model worldwide. However, some of the input parameters of RUSLE may require extensive field and laboratory studies, and therefore in most of the cases these parameters are estimated according to some alternative approaches. In this context, cover-management factor (C) has significant importance since it
Håkan Tanyas, M Lutfi Suzen
exaly   +3 more sources

Development of an erosion model for Langat River Basin, Malaysia, adapting GIS and RS in RUSLE

Applied Water Science, 2020
This study is aimed to predict potential soil erosion in the Langat River Basin, Malaysia by integrating Remote Sensing (RS) and Geographical Information System (GIS) with the Revised Universal Soil Loss Equation (RUSLE) model. In RUSLE model, parameters
Md. Rabiul Islam, Wan Zurina Wan Jaafar, Lai Sai Hin, Normaniza Osman, Md. Razaul Karim   +4 more
doaj   +3 more sources

A modified RUSLE model to simulate soil erosion under different ecological restoration types in the loess hilly area

International Soil and Water Conservation Research
Soil erosion is mainly affected by the rainfall characteristics and land cover conditions, and soil erosion modelling is important for evaluating land degradation status.
Guangyao Gao, Yue Liang, Jianbo Liu, David Dunkerley, Bojie Fu   +4 more
doaj   +3 more sources

Soil loss estimation in Ethiopia: a comprehensive review of the RUSLE model integrated with geospatial technologies

Discover Sustainability
Soil erosion in Ethiopia harms agricultural production, water quality, and overall ecosystem health. Effective soil loss estimation can help minimize these outcomes.
Baye Terefe, Tadele Melese, Aderaw Tsegaye, Amene Afework, Titnaw Yibeltal, Abebe Anagaw, Fekadu Temesgen, Tatek Belay, Gizachew Assefa, Birhanu Bekele Mencho   +9 more
doaj   +2 more sources

Assessment of Erosion in River Basins: A Distributed Model to Estimate the Sediment Production over Watersheds by a 3-Dimensional LS Factor in RUSLE Model

Hydrology, 2020
Erosive processes influence on several phenomena. In particular, they could influence on land depletion, on vegetation weakening, on aggradation phenomena of intermediate, and plain reaches of rivers, on waterways interruption due to overaggradation ...
Carmine Covelli, Luigi Cimorelli, Danila Nicole Pagliuca, Bruno Molino, Domenico Pianese   +4 more
doaj   +3 more sources

Estimation of Cadmium Contamination in Different Restoration Scenarios by RUSLE Model

Environment and Natural Resources Journal, 2020
The Mae Tao watershed of Thailand faced cadmium (Cd) contamination problems from zinc mining for a long time until the mining area was closed to decrease the level of Cd concentration.
Arisara Charoenpanyanet, Panlop Huttagosol   +1 more
doaj   +3 more sources

Effects of Season and Phenology-based Changes on Soil Erodibility and Other Dynamic RUSLE Factors for Semi-arid Winter Wheat Fields

Journal of Agricultural Sciences, 2021
Time-dependent and phenology-based erodibility assessments in agricultural areas are extremely important for a more accurate evaluation of erosion. This paper aims to investigate soil erodibility factor (RUSLE-K) of the “Revised Universal Soil Loss ...
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doaj   +1 more source