PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed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.v1
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.v1
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.v1
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.v1
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.v1
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 erosion and common 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. To regionalize the MUSLE, the main parameters of the MUSLE which directly affect the 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 do not have physical meaning (i.e coefficient a and exponent b ) are estimated through calibration. The best exponent (b) of the Modified Universal Soil Loss Equation is 1, which results in Nash-Sutcliffe efficiency of approximately 1. The regionalized MUSLE shows good performance for all four watersheds under our consideration and 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.
