PreprintArticleVersion 2Preserved in Portico This version is not peer-reviewed
Estimating the Best Exponent of the Modified Universal Soil Loss Equation and Regionalizing the Modified Universal Soil Loss Equation Under Hydro-Climatic Condition of Ethiopia
Version 1
: Received: 10 February 2022 / Approved: 11 February 2022 / Online: 11 February 2022 (12:56:20 CET)
Version 2
: Received: 23 March 2022 / Approved: 24 March 2022 / Online: 24 March 2022 (14:30:25 CET)
How to cite:
Tsige, M.G.; Malcherek, A.; Seleshi, Y. Estimating the Best Exponent of the Modified Universal Soil Loss Equation and Regionalizing the Modified Universal Soil Loss Equation Under Hydro-Climatic Condition of Ethiopia. Preprints2022, 2022020163. https://doi.org/10.20944/preprints202202.0163.v2
Tsige, M.G.; Malcherek, A.; Seleshi, Y. Estimating the Best Exponent of the Modified Universal Soil Loss Equation and Regionalizing the Modified Universal Soil Loss Equation Under Hydro-Climatic Condition of Ethiopia. Preprints 2022, 2022020163. https://doi.org/10.20944/preprints202202.0163.v2
Tsige, M.G.; Malcherek, A.; Seleshi, Y. Estimating the Best Exponent of the Modified Universal Soil Loss Equation and Regionalizing the Modified Universal Soil Loss Equation Under Hydro-Climatic Condition of Ethiopia. Preprints2022, 2022020163. https://doi.org/10.20944/preprints202202.0163.v2
APA Style
Tsige, M.G., Malcherek, A., & Seleshi, Y. (2022). Estimating the Best Exponent of the Modified Universal Soil Loss Equation and Regionalizing the Modified Universal Soil Loss Equation Under Hydro-Climatic Condition of Ethiopia. Preprints. https://doi.org/10.20944/preprints202202.0163.v2
Chicago/Turabian Style
Tsige, M.G., Andreas Malcherek and Yilma Seleshi. 2022 "Estimating the Best Exponent of the Modified Universal Soil Loss Equation and Regionalizing the Modified Universal Soil Loss Equation Under Hydro-Climatic Condition of Ethiopia" Preprints. https://doi.org/10.20944/preprints202202.0163.v2
Abstract
Soil erosion and sediment transport are quite complex processes as they depend on physical, biological, mechanical, and chemical processes within a particular catchment. Therefore, it is highly essential to better explain engaged physical processes and means of accounting for site-specific conditions, for soil loss and sediment yield estimation. This paper mainly focuses on physical explanations behind soil erosion and common soil erosion models like Universal or Revised Universal Soil Loss Equation(USLE/RUSLE) and Modified Universal Soil Loss Equation(MUSLE). Based on the physical explanations and overall limitations, the MUSLE is selected for the application of sediment yield estimation. The main objective of this paper is to estimate the best exponent of the MUSLE, and to estimate the best combination of the exponent and topographic factor of the MUSLE under hydro-climatic conditions of Ethiopia. For the sake of calibration procedure, the main parameters of the MUSLE which directly affect soil erosion process such as cover, conservation practice, soil erodibility, and topographic factors are estimated based on the past experiences from literature and comparative approaches, whereas the other parameters which do not directly affect the erosion process or which have no any physical meaning (i.e coefficient a and exponent b) are estimated through calibration. It is verified that the best exponent of the MUSLE is 1 irrespective of the topographic factor, which results in the maximum performance of the MUSLE (i.e approximately 100\%). For the best combination of the exponent and topographic factor, the performance of the MUSLE is greater than or equal to 80\% for all four watersheds under our consideration, we expect the same for other watersheds of Ethiopia.
Keywords
USLE; RUSLE, MUSLE; Ethiopia
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
