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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 Bożek, Jarosław Janus
openaire   +2 more sources

An improved vegetation cover and management factor for RUSLE model in prediction of soil erosion

Environmental Science and Pollution Research, 2021
Soil erosion and runoff of cultivated land will cause farmland to be degraded and the downstream to be contaminated, which has aroused extensive attention worldwide. The conventional soil loss prediction model revised universal soil loss equation (RUSLE) is capable of more significantly simulating and predicting the amount of soil loss, but this model ...
Yu, Bai, Haifeng, Cui
openaire   +2 more sources

Adding a temporal dimension to the RUSLE model: Application to the Portuguese west coast

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Soil erosion by water is one of the main sources of sediment supply to the coastal zone and its quantification is a major issue in coastal management. The intensity of sediment delivery to the coast can be assessed by the RUSLE model, which is able to account the time-variability of the primary variables.
Cristina Lira 0001   +3 more
openaire   +2 more sources

Application of a RUSLE-based soil erosion modelling on Mauritius Island

Soil Research, 2013
Soil erosion by water is one of the most important natural resources management problems in the world. The damages it causes on-site are soil loss, breakdown of soil structure, and decline in organic matter content, nutrient content, fertility, and infiltration rate.
Rody Nigel, Soonil D. D. V. Rughooputh
openaire   +1 more source

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

Variance based sensitivity analysis of the RUSLE model in the E.U. parameter space

2020
<p>Soil degradation through erosion is a major issue on a global scale, especially as the pressure on soils increases with increasing population, changing diets, and increase in land use changes. Measurements are plot specific and expensive, so most of the erosion assessment are done through modelling.
Enrico Balugani   +2 more
openaire   +1 more source

Application of experimental soil erosion models (USLE, RUSLE) in Jordan: A review

AIP Conference Proceedings, 2017
In most of the existing models designed for the soil erosion experiment are moderately simplistic, which consistently, have been extensively practiced in many parts of the world. In reality, within the content of this study, the practical occurrences of the Universal Soil Loss Equation (USLE) and that of the Revised Universal Soil Loss Equation (RUSLE)
A. A. Ramzi   +4 more
openaire   +1 more source

RUSLE Model in the Northwest Part of the Zagros Mountain Belt

2022
Arsalan Ahmed Othman   +4 more
openaire   +1 more source

Soil Erosion Estimation of Palasbari in Northeast India by RUSLE Model

Bulletin of Pure & Applied Sciences- Geology, 2021
Karishma Sarma, Parag Jyoti Dutta
openaire   +1 more source

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