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Assessing soil erosion risk in a peri-urban catchment of the Lake Victoria basin
Soil erosion and sedimentation contribute to deteriorating water quality, adverse alterations in basin hydrology and overall ecosystem biogeochemistry. Thus, understanding soil erosion patterns in catchments is critical for conservation planning. This study was conducted in a peri-urban Inner Murchi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616704/ https://www.ncbi.nlm.nih.gov/pubmed/36341043 http://dx.doi.org/10.1007/s40808-022-01565-6 |
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author | Ssewankambo, Gyaviira Kabenge, Isa Nakawuka, Prossie Wanyama, Joshua Zziwa, Ahamada Bamutaze, Yazidhi Gwapedza, David Palmer, Carolyn Tally Tanner, Jane Mantel, Sukhmani Tessema, Bezaye |
author_facet | Ssewankambo, Gyaviira Kabenge, Isa Nakawuka, Prossie Wanyama, Joshua Zziwa, Ahamada Bamutaze, Yazidhi Gwapedza, David Palmer, Carolyn Tally Tanner, Jane Mantel, Sukhmani Tessema, Bezaye |
author_sort | Ssewankambo, Gyaviira |
collection | PubMed |
description | Soil erosion and sedimentation contribute to deteriorating water quality, adverse alterations in basin hydrology and overall ecosystem biogeochemistry. Thus, understanding soil erosion patterns in catchments is critical for conservation planning. This study was conducted in a peri-urban Inner Murchison Bay (IMB) catchment on the northern shores of Lake Victoria since most soil erosion studies in Sub-Saharan Africa have been focused on rural landscapes. The study sought to identify sediment sources by mapping erosion hotspots using the revised universal soil loss equation (RUSLE) model in appendage with field walks. RUSLE model was built in ArcGIS 10.5 software with factors including: rainfall erosivity, soil erodibility, slope length and steepness, land cover and support practices. The model was run, producing an erosion risk map and field assessments conducted to ground-truth findings and identify other hotspots. The percentage areas for RUSLE modelled erosion rates were: 66.8% for 0–2 t ha(−1) year(−1); 10.8% for 2–5 t ha(−1) year(−1); 10.1% for 5–10 t ha(−1) year(−1); 9% for 10–50 t ha(−1) year(−1) and 3.3% for 50–100 t ha(−1) year(−1). Average erosion risk was 7 t ha(−1) year(−1) and the total watershed erosion risk was 197,400 t year(−1), with croplands and steep areas (slope factor > 20) as the major hotspots (> 5 t ha(−1) year(−1)). Field walks revealed exposed soils, marrum (gravel) roads and unlined drainage channels as other sediment sources. This study provided the first assessment of erosion risk in this peri-urban catchment, to serve as a basis for identifying mitigation priorities. It is recommended that tailored soil and water conservation measures be integrated into physical planning, focusing on identified non-conventional hotspots to ameliorate sediment pollution in Lake Victoria. |
format | Online Article Text |
id | pubmed-9616704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-96167042022-10-31 Assessing soil erosion risk in a peri-urban catchment of the Lake Victoria basin Ssewankambo, Gyaviira Kabenge, Isa Nakawuka, Prossie Wanyama, Joshua Zziwa, Ahamada Bamutaze, Yazidhi Gwapedza, David Palmer, Carolyn Tally Tanner, Jane Mantel, Sukhmani Tessema, Bezaye Model Earth Syst Environ Original Article Soil erosion and sedimentation contribute to deteriorating water quality, adverse alterations in basin hydrology and overall ecosystem biogeochemistry. Thus, understanding soil erosion patterns in catchments is critical for conservation planning. This study was conducted in a peri-urban Inner Murchison Bay (IMB) catchment on the northern shores of Lake Victoria since most soil erosion studies in Sub-Saharan Africa have been focused on rural landscapes. The study sought to identify sediment sources by mapping erosion hotspots using the revised universal soil loss equation (RUSLE) model in appendage with field walks. RUSLE model was built in ArcGIS 10.5 software with factors including: rainfall erosivity, soil erodibility, slope length and steepness, land cover and support practices. The model was run, producing an erosion risk map and field assessments conducted to ground-truth findings and identify other hotspots. The percentage areas for RUSLE modelled erosion rates were: 66.8% for 0–2 t ha(−1) year(−1); 10.8% for 2–5 t ha(−1) year(−1); 10.1% for 5–10 t ha(−1) year(−1); 9% for 10–50 t ha(−1) year(−1) and 3.3% for 50–100 t ha(−1) year(−1). Average erosion risk was 7 t ha(−1) year(−1) and the total watershed erosion risk was 197,400 t year(−1), with croplands and steep areas (slope factor > 20) as the major hotspots (> 5 t ha(−1) year(−1)). Field walks revealed exposed soils, marrum (gravel) roads and unlined drainage channels as other sediment sources. This study provided the first assessment of erosion risk in this peri-urban catchment, to serve as a basis for identifying mitigation priorities. It is recommended that tailored soil and water conservation measures be integrated into physical planning, focusing on identified non-conventional hotspots to ameliorate sediment pollution in Lake Victoria. Springer International Publishing 2022-10-29 2023 /pmc/articles/PMC9616704/ /pubmed/36341043 http://dx.doi.org/10.1007/s40808-022-01565-6 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Ssewankambo, Gyaviira Kabenge, Isa Nakawuka, Prossie Wanyama, Joshua Zziwa, Ahamada Bamutaze, Yazidhi Gwapedza, David Palmer, Carolyn Tally Tanner, Jane Mantel, Sukhmani Tessema, Bezaye Assessing soil erosion risk in a peri-urban catchment of the Lake Victoria basin |
title | Assessing soil erosion risk in a peri-urban catchment of the Lake Victoria basin |
title_full | Assessing soil erosion risk in a peri-urban catchment of the Lake Victoria basin |
title_fullStr | Assessing soil erosion risk in a peri-urban catchment of the Lake Victoria basin |
title_full_unstemmed | Assessing soil erosion risk in a peri-urban catchment of the Lake Victoria basin |
title_short | Assessing soil erosion risk in a peri-urban catchment of the Lake Victoria basin |
title_sort | assessing soil erosion risk in a peri-urban catchment of the lake victoria basin |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616704/ https://www.ncbi.nlm.nih.gov/pubmed/36341043 http://dx.doi.org/10.1007/s40808-022-01565-6 |
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