Key points are not available for this paper at this time.
The study utilized the Modified Universal Soil Loss Equation (MUSLE) to predict sediment loss and evaluate the model's performance in the Agewmariam experimental watershed in order to support the planning, management, and appropriate use of the soil and water resources in the watershed. The natural resources conservation service (NRCS) curve number method was used to model runoff energy factor. By overlaying maps of runoff energy, soil erodibility, slope length and steepness, cover management, and support practice factors with assigned values, the cumulative effect of these parameters for the suspended sediment yield was calculated using the ArcGIS raster calculator. The runoff energy factor was the most sensitive parameter, followed by slope length and steepness factor. To improve the model's fit to the local conditions, the initial abstraction to storage ratio (λ) of the runoff energy factor was reduced to 0.023, and the MUSLE model coefficient and exponent were adjusted to 1 and 0.59, respectively. During calibration, the mean observed and estimated suspended sediment yields were 0.2 and 0.23 ton/ha, respectively, while during validation, they were 0.7 and 0.53 ton/ha, respectively. The model evaluation showed that the MUSLE model, without calibration, was not appropriate for estimating runoff and sediment yield. However, with appropriate calibration, the model showed good performance with a coefficient of determination (R
Building similarity graph...
Analyzing shared references across papers
Loading...
Yonas Reda
Awdenegest Moges
Hailu Kendie
Heliyon
Hawassa University
Amhara Agricultural Research Institute
Building similarity graph...
Analyzing shared references across papers
Loading...
Reda et al. (Fri,) studied this question.
www.synapsesocial.com/papers/68e5ee87b6db6435875830f0 — DOI: https://doi.org/10.1016/j.heliyon.2024.e35052