SWAT-based soil erosion and sediment yield modeling in the upper Gilgel Abay catchment, Blue Nile Basin, Ethiopia. [PDF]
Alebachew ED +5 more
europepmc +1 more source
Study on the driving force of seasonal changes of soil erosion in Lulang-Tongmai section of Sichuan-Tibet Highway. [PDF]
Tong X +6 more
europepmc +1 more source
Modeling future sediment retention service in the Bagh-e-Shadi Forest protected area using InVEST and the ACCESS-ESM1-5 climate model. [PDF]
Joorabian Shooshtari S +2 more
europepmc +1 more source
Revealing various change characteristics and drivers of ecological vulnerability in the Luan river basin based on the SRP model. [PDF]
Li Y, Xie W, Sui K, Zhang D, Wan Q.
europepmc +1 more source
Modeling water erosion using the RUSLE equation at the land use scale
A.S. Kuznetsova +6 more
openaire +1 more source
From Local to Global Scale Soil Erosion Modelling – A Sensitivity Analysis of the RUSLE Model
Naipal, Victoria +2 more
openaire +1 more source
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In this paper, we attempted to review the soil erosion studies conducted throughout the globe using Revised Universal Soil Loss Equation (RUSLE). We searched the SCI, Scopus, Web of Science, Google Scholar database and various theses for this study. Though RUSLE is the most widely used model for estimation of soil erosion, the factors, namely rainfall ...
Santasmita Das Bhattacharya +1 more
exaly +2 more sources
Harmonizing models and measurements: Assessing soil erosion through RUSLE model [PDF]
Soil erosion poses significant ecological and socioeconomic challenges, driven by factors such as inappropriate land use, extreme rainfall events, deforestation, farming methods, and climate change. This study focuses on the Kozhikode district in Kerala, South India, which has seen increased vulnerability to soil erosion due to its unique geographical ...
Jasin, Sidharthan +4 more
openaire +3 more sources
Global-scale application of the RUSLE model: a comprehensive review
Hydrological Sciences Journal, 2022Sanjay K Raúl, Sonam Sandeep Dash
exaly +2 more sources
Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed
Catena, 1999Abstract This research integrates the Revised Universal Soil Loss Equation (RUSLE) with a Geographic Information System (GIS) to model erosion potential for soil conservation planning within the Sierra de Manantlan Biosphere Reserve (SMBR), Mexico. Mountainous topography and a tropical uni-modal precipitation regime characterize this region.
Andrew A Millward
exaly +2 more sources

