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A Review of RUSLE Model

Journal of the Indian Society of Remote Sensing, 2020
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 ...
Kaushik Ghosal   +1 more
exaly   +2 more sources

Harmonizing models and measurements: Assessing soil erosion through RUSLE model [PDF]

open access: yesEnvironmental Science and Pollution Research
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, 2022
Sonam Sandeep Dash, S K Raúl
exaly   +2 more sources

Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed

Catena, 1999
Abstract 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

Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone

open access: yesInternational Journal of Digital Earth, 2023
In this research, we used the Revised Universal Soil Loss Equation (RUSLE) and Geographical Information System (GIS) to predict the annual rate of soil loss in the District Chakwal of Pakistan.
Aqil Tariq   +2 more
exaly   +2 more sources

RUSLE Model Description and Database Sensitivity

Journal of Environmental Quality, 1993
AbstractWater quality modeling generally requires estimates of the amount of eroded material entering water courses. This information is necessary because sediment often transports adsorbed chemicals. Numerous models have been developed to assist with assessment of this problem.
K. G. Renard, V. A. Ferreira
openaire   +1 more source

An overview of soil erosion modelling compatible with RUSLE approach

Rendiconti Lincei, 2012
Different approaches were used to model soil losses in the Sele River basin (southern Italy) characterized by data scarcity. The suitability of models interpolating different sources of data was evaluated with the aim to suggest similar methodologies in other regions where data availability is not sufficient to use the more complex and detailed models.
FAGNANO, MASSIMO   +3 more
openaire   +3 more sources

The Influence of Elevation Data Generalization on the Accuracy of the RUSLE Model

2017 Baltic Geodetic Congress (BGC Geomatics), 2017
Precision and reliability of water erosion intensity measurements depend on a number of factors, such as the accuracy of input data, used erosion model, and tools applied to computations. The article shows an assessment of the influence of elevation data accuracy on the components' values in the RUSLE model.
Piotr Bozek, Jaroslaw Janus
openaire   +1 more source

An improved RUSLE/SDR model for the evaluation of soil erosion

Environmental Earth Sciences, 2018
The accurate assessment of soil erosion is key to assess environmental parameters, such as the reduction in soil fertility, the increase in flood risk, the loss of nutrients, and degradation of water quality. In this study, we developed a methodology using the Revised Universal Soil Loss Equation (RUSLE) with the sediment delivery ratio (SDR) to ...
Ebrahimzadeh, S.   +3 more
openaire   +3 more sources

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