Your browser doesn't support javascript.
loading
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.
Afiliación
  • Ssewankambo G; P.O Box 7062, Kampala, Uganda Department of Agricultural and Biosystems Engineering, Makerere University.
  • Kabenge I; P.O Box 7062, Kampala, Uganda Department of Agricultural and Biosystems Engineering, Makerere University.
  • Nakawuka P; P.O Box 7062, Kampala, Uganda Department of Agricultural and Biosystems Engineering, Makerere University.
  • Wanyama J; P.O Box 7062, Kampala, Uganda Department of Agricultural and Biosystems Engineering, Makerere University.
  • Zziwa A; P.O Box 7062, Kampala, Uganda Department of Agricultural and Biosystems Engineering, Makerere University.
  • Bamutaze Y; P.O Box 7062, Kampala, Uganda Department of Geography, Geo-Informatics and Climate Sciences, Makerere University.
  • Gwapedza D; P.O. Box 94, Makhanda, Eastern Cape South Africa Institute for Water Research, Rhodes University.
  • Palmer CT; P.O. Box 94, Makhanda, Eastern Cape South Africa Institute for Water Research, Rhodes University.
  • Tanner J; P.O. Box 94, Makhanda, Eastern Cape South Africa Institute for Water Research, Rhodes University.
  • Mantel S; P.O. Box 94, Makhanda, Eastern Cape South Africa Institute for Water Research, Rhodes University.
  • Tessema B; P.O. Box 1176, Addis Ababa, Ethiopia Water and Land Resource Centre, Addis Ababa University.
Model Earth Syst Environ ; 9(2): 1633-1649, 2023.
Article en En | MEDLINE | ID: mdl-36341043
ABSTRACT
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.
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Model Earth Syst Environ Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Model Earth Syst Environ Año: 2023 Tipo del documento: Article