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Modeling future sediment retention service in the Bagh-e-Shadi Forest protected area using InVEST and the ACCESS-ESM1-5 climate model. [PDF]

Sci Rep
Joorabian Shooshtari S, Ardakani T, Beik Khormizi H.   +2 more
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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, Santasmita Das Bhattacharya   +1 more
exaly   +2 more sources

Adaptation of RUSLE in the Eastern Part of the Mediterranean Region

Environmental Management, 2004
Empirically based models are used worldwide to estimate soil erosion. The Revised Universal Soil Loss Equation (RUSLE) is one such model that has been intensively tested and validated under conditions in the United States. RUSLE estimates average soil loss as a function of five main factors: rainfall erosivity (R), soil erodibility (K), crop management
A Abu, Hammad, H, Lundekvam, T, Børresen   +2 more
exaly   +3 more sources

Extension of a GIS procedure for calculating the RUSLE equation LS factor

Computers and Geosciences, 2013
The Universal Soil Loss Equation (USLE) and revised USLE (RUSLE) are often used to estimate soil erosion at regional landscape scales, however a major limitation is the difficulty in extracting the LS factor. The geographic information system-based (GIS-based) methods which have been developed for estimating the LS factor for USLE and RUSLE also have ...
Hongming Zhang, Qinke Yang, Demie Moore   +2 more
exaly   +2 more sources

Geographic Variation of USLE/RUSLE Erosivity and Erodibility Factors

Journal of Hydrologic Engineering, 2015
AbstractThere is a great reliance on the Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) to predict long-term rainfall erosion in relation to land management in both the United States and the rest of the world.
Kinnell, Peter; id_orcid
openaire   +2 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

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, Diodato N., ALBERICO, INES, FIORENTINO, NUNZIO   +3 more
openaire   +3 more sources

An integrated method for calculating DEM-based RUSLE LS

Earth Science Informatics, 2018
The improvement of resolution of digital elevation models (DEMs) and the increasing application of the Revised Universal Soil Loss Equation (RUSLE) over large areas have created problems for the efficiency of calculating the LS factor for large data sets.
Wang, Meng, Baartman, Jantiene E.M., Zhang, Hongming, Yang, Qinke, Li, Shuqin, Yang, Jiangtao, Cai, Cheng, Wang, Meili, Ritsema, Coen J., Geissen, Violette   +9 more
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EVALUATION OF WEPP AND ITS COMPARISON WITH USLE AND RUSLE

Transactions of the ASAE, 2000
The USDA-Water Erosion Prediction Project (WEPP) demonstrates a new generation of water erosion prediction technology for use in soil and water conservation planning and assessment. The WEPP computer model is based on various interacting natural processes in hydrology, plant sciences, soil physics, and erosion mechanics.
null A. K. Tiwari, null L. M. Risse, null M. A. Nearing   +2 more
openaire   +1 more source