GIS based annual soil loss estimation with revised universal soil loss equation (RUSLE) in the upper Meki sub-catchment, rift valley sub-basin, Ethiopia
AbstractSoil erosion is the most challenging and major environmental problems in the Upper Meki Sub catchment. Therefore, this work aims to determine the relative influences of erosion governing factors and to estimate the annual soil loss in the sub catchment area using RUSLE model. The model varia...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Cogent Food & Agriculture |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/23311932.2024.2311802 |
| _version_ | 1797303284118061056 |
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| author | Degfie Teku Nega Kesete Abebaw Abebe |
| author_facet | Degfie Teku Nega Kesete Abebaw Abebe |
| author_sort | Degfie Teku |
| collection | DOAJ |
| description | AbstractSoil erosion is the most challenging and major environmental problems in the Upper Meki Sub catchment. Therefore, this work aims to determine the relative influences of erosion governing factors and to estimate the annual soil loss in the sub catchment area using RUSLE model. The model variables including rainfall erosivity (R), soil erodibility (K), topography (LS), cover and management (C), and support practices (P) were implemented into the GIS environment and a layer of each of these factors was prepared. The estimated value of R, K, LS, C, and P for the sub catchment area ranges from 512 to 604 MJ mm ha-1 h-1 yr-1, 0.137 to 0.169 tons/ha, 0 to 59, 0.001 to 0.4 and 0.10 – 1.00 respectively. The raster values of all these factors were multiplied by using GIS calculator. Based on the results from GIS raster calculation and RUSLE model, the total annual potential soil loss from the sub catchment area is about 2,756,540 tons per year with a mean estimated soil loss rate of 28.12 + 34.77 t/ha/yr and the total actual annual soil loss is 492929 tons with an estimated erosion rate of 37.05 + 46.7 t/ha/yr. Rainfall is identified as the most sensitive factor of soil erosion in the sub catchment area. Our estimation of soil erosion provides notional basses that the area needs immediate action to sustain the soil. Nevertheless, further research on severity analysis and area prioritization, and sediment loss estimation in this watershed is highly recommended to develop practical way of conserving practices. |
| first_indexed | 2024-03-07T23:50:40Z |
| format | Article |
| id | doaj.art-00b8a7538d034845bb12841b39cfa935 |
| institution | Directory Open Access Journal |
| issn | 2331-1932 |
| language | English |
| last_indexed | 2024-03-07T23:50:40Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Food & Agriculture |
| spelling | doaj.art-00b8a7538d034845bb12841b39cfa9352024-02-19T05:55:32ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322024-12-0110110.1080/23311932.2024.2311802GIS based annual soil loss estimation with revised universal soil loss equation (RUSLE) in the upper Meki sub-catchment, rift valley sub-basin, EthiopiaDegfie Teku0Nega Kesete1Abebaw Abebe2Department of Geology, College of Natural and Computational Sciences, Mekdela Amba University, Wollo, EthiopiaDepartment of Hydraulic and Water Resource Engineering Institute of technology (BIT), Bahir Dar, EthiopiaDepartment of Rural Development, Mekdela Amba University, Wollo, EthiopiaAbstractSoil erosion is the most challenging and major environmental problems in the Upper Meki Sub catchment. Therefore, this work aims to determine the relative influences of erosion governing factors and to estimate the annual soil loss in the sub catchment area using RUSLE model. The model variables including rainfall erosivity (R), soil erodibility (K), topography (LS), cover and management (C), and support practices (P) were implemented into the GIS environment and a layer of each of these factors was prepared. The estimated value of R, K, LS, C, and P for the sub catchment area ranges from 512 to 604 MJ mm ha-1 h-1 yr-1, 0.137 to 0.169 tons/ha, 0 to 59, 0.001 to 0.4 and 0.10 – 1.00 respectively. The raster values of all these factors were multiplied by using GIS calculator. Based on the results from GIS raster calculation and RUSLE model, the total annual potential soil loss from the sub catchment area is about 2,756,540 tons per year with a mean estimated soil loss rate of 28.12 + 34.77 t/ha/yr and the total actual annual soil loss is 492929 tons with an estimated erosion rate of 37.05 + 46.7 t/ha/yr. Rainfall is identified as the most sensitive factor of soil erosion in the sub catchment area. Our estimation of soil erosion provides notional basses that the area needs immediate action to sustain the soil. Nevertheless, further research on severity analysis and area prioritization, and sediment loss estimation in this watershed is highly recommended to develop practical way of conserving practices.https://www.tandfonline.com/doi/10.1080/23311932.2024.2311802Soil lossrevised universal soil loss equationGIS and remote sensingMeki catchmentManuel Tejada, University of Seville, SpainSoil Sciences |
| spellingShingle | Degfie Teku Nega Kesete Abebaw Abebe GIS based annual soil loss estimation with revised universal soil loss equation (RUSLE) in the upper Meki sub-catchment, rift valley sub-basin, Ethiopia Cogent Food & Agriculture Soil loss revised universal soil loss equation GIS and remote sensing Meki catchment Manuel Tejada, University of Seville, Spain Soil Sciences |
| title | GIS based annual soil loss estimation with revised universal soil loss equation (RUSLE) in the upper Meki sub-catchment, rift valley sub-basin, Ethiopia |
| title_full | GIS based annual soil loss estimation with revised universal soil loss equation (RUSLE) in the upper Meki sub-catchment, rift valley sub-basin, Ethiopia |
| title_fullStr | GIS based annual soil loss estimation with revised universal soil loss equation (RUSLE) in the upper Meki sub-catchment, rift valley sub-basin, Ethiopia |
| title_full_unstemmed | GIS based annual soil loss estimation with revised universal soil loss equation (RUSLE) in the upper Meki sub-catchment, rift valley sub-basin, Ethiopia |
| title_short | GIS based annual soil loss estimation with revised universal soil loss equation (RUSLE) in the upper Meki sub-catchment, rift valley sub-basin, Ethiopia |
| title_sort | gis based annual soil loss estimation with revised universal soil loss equation rusle in the upper meki sub catchment rift valley sub basin ethiopia |
| topic | Soil loss revised universal soil loss equation GIS and remote sensing Meki catchment Manuel Tejada, University of Seville, Spain Soil Sciences |
| url | https://www.tandfonline.com/doi/10.1080/23311932.2024.2311802 |
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