SWAT-based soil erosion and sediment yield modeling in the upper Gilgel Abay catchment, Blue Nile Basin, Ethiopia.

Endalamaw Dessie Alebachew, Kebede Wolka, Mikias Biazen Molla, Nega Chalie Emiru, Orhan Dengiz, David Tavi Agbor

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Endalamaw Dessie AlebachewHawassa University, Wondo Genet College of Forestry and Natural Resources, Hawassa, Ethiopia. endex2345@gmail.com.ORCID http://orcid.org/0000-0002-1970-7271

Kebede WolkaHawassa University, Wondo Genet College of Forestry and Natural Resources, Hawassa, Ethiopia.

Mikias Biazen MollaHawassa University, Wondo Genet College of Forestry and Natural Resources, Hawassa, Ethiopia.

Nega Chalie EmiruHawassa University, Wondo Genet College of Forestry and Natural Resources, Hawassa, Ethiopia.

Orhan DengizFaculity of Agriculture, Department of Soil Science and Plant Nutrition, Ondokuz Mayıs University, Samsun, Turkey.

David Tavi AgborFaculity of Agriculture, Department of Soil Science and Plant Nutrition, Ondokuz Mayıs University, Samsun, Turkey.

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6 · The paper itself

Abstract

Soil erosion is a critical global issue, threatening the sustainability of natural resources and agricultural productivity. Accurate information on sediment yield and soil erosion risk within watersheds is essential for developing effective management strategies. This study aimed to estimate soil loss in the Upper Gilgel Abay catchment using the Soil and Water Assessment Tool (SWAT). The observed daily sediment data were utilized for the calibration and validation of the model outputs. Calibration and validation were performed for the periods 2002-2015 and 2016-2021, respectively. Sensitivity analysis identified the most influential parameters affecting soil loss estimates. The model performance was quite satisfactory. The coefficient of determination (R

Indexed as

CatchmentSedimentSoil Erosion modellingSWAT

Identifiers

PMID40770207

DOI10.1038/s41598-025-09367-3

PMCPMC12328791

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