Combining geospatial information and SCS-CN for surface runoff estimation in Rib watershed, upper Blue Nile Basin, Ethiopia
Surface runoff is the most significant environmental concern in the Rib Watershed. Hence, this study estimates runoff by combining geospatial information and the Soil Conservation Service Curve Number (SCS-CN) model in the watershed. Rainfall, land use, land cover, hydrologic soil group, maximum soi...
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Taylor & Francis Group
2024-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2024.2338533 |
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| author | Solomon Eniyew Derege Tsegaye Meshesha Gebeyehu Abebe Zeleke Simachew Bantigegn Wassie |
| author_facet | Solomon Eniyew Derege Tsegaye Meshesha Gebeyehu Abebe Zeleke Simachew Bantigegn Wassie |
| author_sort | Solomon Eniyew |
| collection | DOAJ |
| description | Surface runoff is the most significant environmental concern in the Rib Watershed. Hence, this study estimates runoff by combining geospatial information and the Soil Conservation Service Curve Number (SCS-CN) model in the watershed. Rainfall, land use, land cover, hydrologic soil group, maximum soil water retention, and CN values were processed using Arc GIS and ERDAS Imagine software accordingly. The model was validated using the coefficient of determination (R2) and Nash-Sutcliffe efficiency (NSE). The R2 (0.9861, 0.9508, and 0.9136) and NSE (0.7, 0.68, and 0.6) values for the periods (2018, 2020, and 2022), respectively, confirmed the good performance of the model. The result also showed runoff ranges from 497 mm/year to 1,258 mm/year. Therefore, the highest runoff is observed in most areas of Farta and Debre Tabor and in some parts of Lay Gayint, Fogera, and Kemkem districts. Consequently, this may result in a loss of soil moisture, a decline of surface and ground water, low crop yield and animal fodder, and unproductivity of the land. This, in turn, affects food security and the livelihoods of the community at large in the region. Therefore, well-planned watershed management practices should be put into practice by prioritizing runoff hotspot sites in the catchment. |
| format | Article |
| id | doaj-art-fe7a4de595e24bc2adbbcd49a499d73f |
| institution | Kabale University |
| issn | 1947-5705 1947-5713 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj-art-fe7a4de595e24bc2adbbcd49a499d73f2024-12-12T18:11:18ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132024-12-0115110.1080/19475705.2024.2338533Combining geospatial information and SCS-CN for surface runoff estimation in Rib watershed, upper Blue Nile Basin, EthiopiaSolomon Eniyew0Derege Tsegaye Meshesha1Gebeyehu Abebe Zeleke2Simachew Bantigegn Wassie3Department of Geography and Environmental Studies, Debre Tabor University, Debre Tabor, EthiopiaDepartment of Natural Resource Management, College of Agriculture and Environmental Science, Bahir Dar University, Bahir Dar, EthiopiaDepartment of Natural Resources Management, Debre Berhan University, Debre Berhan, EthiopiaDepartment of Geography and Environmental Studies, Bahir Dar University, Bahir Dar, EthiopiaSurface runoff is the most significant environmental concern in the Rib Watershed. Hence, this study estimates runoff by combining geospatial information and the Soil Conservation Service Curve Number (SCS-CN) model in the watershed. Rainfall, land use, land cover, hydrologic soil group, maximum soil water retention, and CN values were processed using Arc GIS and ERDAS Imagine software accordingly. The model was validated using the coefficient of determination (R2) and Nash-Sutcliffe efficiency (NSE). The R2 (0.9861, 0.9508, and 0.9136) and NSE (0.7, 0.68, and 0.6) values for the periods (2018, 2020, and 2022), respectively, confirmed the good performance of the model. The result also showed runoff ranges from 497 mm/year to 1,258 mm/year. Therefore, the highest runoff is observed in most areas of Farta and Debre Tabor and in some parts of Lay Gayint, Fogera, and Kemkem districts. Consequently, this may result in a loss of soil moisture, a decline of surface and ground water, low crop yield and animal fodder, and unproductivity of the land. This, in turn, affects food security and the livelihoods of the community at large in the region. Therefore, well-planned watershed management practices should be put into practice by prioritizing runoff hotspot sites in the catchment.https://www.tandfonline.com/doi/10.1080/19475705.2024.2338533Surface-runoffSCS-CNgeospatial informationRib watershedEthiopia |
| spellingShingle | Solomon Eniyew Derege Tsegaye Meshesha Gebeyehu Abebe Zeleke Simachew Bantigegn Wassie Combining geospatial information and SCS-CN for surface runoff estimation in Rib watershed, upper Blue Nile Basin, Ethiopia Geomatics, Natural Hazards & Risk Surface-runoff SCS-CN geospatial information Rib watershed Ethiopia |
| title | Combining geospatial information and SCS-CN for surface runoff estimation in Rib watershed, upper Blue Nile Basin, Ethiopia |
| title_full | Combining geospatial information and SCS-CN for surface runoff estimation in Rib watershed, upper Blue Nile Basin, Ethiopia |
| title_fullStr | Combining geospatial information and SCS-CN for surface runoff estimation in Rib watershed, upper Blue Nile Basin, Ethiopia |
| title_full_unstemmed | Combining geospatial information and SCS-CN for surface runoff estimation in Rib watershed, upper Blue Nile Basin, Ethiopia |
| title_short | Combining geospatial information and SCS-CN for surface runoff estimation in Rib watershed, upper Blue Nile Basin, Ethiopia |
| title_sort | combining geospatial information and scs cn for surface runoff estimation in rib watershed upper blue nile basin ethiopia |
| topic | Surface-runoff SCS-CN geospatial information Rib watershed Ethiopia |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2024.2338533 |
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