2022
DOI: 10.3390/w14091450
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Improving the Modified Universal Soil Loss Equation by Physical Interpretation of Its Factors

Abstract: A primary objective of this paper is to change the input data requirement of the Modified Universal Soil Loss Equation (MUSLE) for the calculation of its runoff factor for possible application in data-scarce areas. Basically, the MUSLE was developed for a small agricultural watershed, where the extent of erosion is from sheet to rill erosion, but we cannot exactly tell whether it considers gully erosion or not. The underlying physical assumption to improve the MUSLE is that the amount of potential energy of ru… Show more

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Cited by 7 publications
(2 citation statements)
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“…For instance, applied the classic USLE method to analyze the long-term intensity of reservoir siltation in relationship to environmental changes, while Barteni et al (2021) used a modified form of the equation (MUSLE) to predict future response of a small alpine catchment to single heavy rainfall. Other authors attempt to improve the method by introducing new parameters or their new interpretations (Tsige et al 2022, Shi et al 2022.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, applied the classic USLE method to analyze the long-term intensity of reservoir siltation in relationship to environmental changes, while Barteni et al (2021) used a modified form of the equation (MUSLE) to predict future response of a small alpine catchment to single heavy rainfall. Other authors attempt to improve the method by introducing new parameters or their new interpretations (Tsige et al 2022, Shi et al 2022.…”
Section: Introductionmentioning
confidence: 99%
“…A commonly applied method for soil erosion and sediment yield estimation from non‐build‐up areas is USLE equation or its further modifications (McCool et al, 1987; Tsige et al, 2022; Wischmeier & Smith, 1978). This method requires inputs on rainfall and runoff erosivity, soil types, land cover, topography and support practices.…”
Section: Introductionmentioning
confidence: 99%