Soil loss estimation using Rusle model and geo-spatial technology in the basement complex of Akure, southwestern Nigeria
Abstract
Soil loss estimation has been carried out using the revised universal soil loss equation (RUSLE) model and geo-spatial technology in the basement complex of Akure, Southwestern Nigeria. The objectives are to predict average annual rate of soil erosion and address the menace of erosion in the area. Geologically, the area is underlain by the basement complex rocks of Southwestern Nigeria. Meteorological data, soil information, remote sensing data and digital elevation model (DEM) formed the data base. Three Landsat images of the study area covering 1987, 1997 and 2017, with 30 m spatial resolution were deployed using ArcGIS spatial analyst tool. The RUSLE parameters; Rainfall Erosivity Factor, Slope Length and Steepness Factor, Soil Erodibility Factor, Cover and Management Factor and Support Practice Factor were assessed in a GIS (Geographic Information System) environment. The soil loss was classified into low, moderate, high and very high level of severity. The results showed that soil erosion has moderately increased due to anthropogenic effects over the years.
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References
Parveen, R., Kumar, U. “Integrated Approach of Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) for Soil Loss Risk Assessment in Upper South Koel Basin, Jharkhand”. Journal of Geographic Information System, 4, 588-596 http://dx.doi.org/10.4236/jgis.2012.46061, 2012.
Duguma, T.A. “Soil erosion risk assessment and treatment priority classification: a case study on guder watersheds, Abay river basin, Oromia, Ethiopia”. Heliyon 8 (8) e10183, https://doi.org/10.1016/j.heliyon.2022.e10183. 2022.
Olika, G., Fikadu, G., Gedefa, B. “GIS based soil loss assessment using RUSLE model: A case of Horo district, western Ethiopia”. Heliyon 9 e13313, 2023.
Kadam, A. K., Umrikar, B. N. Sankhua, R. N. “Assessment of Soil Loss using Revised Universal Soil Loss Equation (RUSLE): A Remote Sensing and GIS Approach”. Remote Sensing of Land, 2(1), 65-75, 2018.
Luvai, A. Obiero A., Omuto, C. “Soil Loss Assessment Using the Revised Universal Soil Loss Equation (RUSLE) Model”. Applied and Environmental Soil Science, https://doi.org/10.1155/2022/2122554, 2022.
Amsalu, T., Mengaw, A. “GIS based soil loss estimation using RUSLE model: the case of Jabi tehinan woreda, ANRS, Ethiopia”. Natural resources, 5 (11) 616–626, https://doi.org/10.4236/nr.2014.511054, 2014.
El Mazi, M., Mostafa H., Er-riyahi S., Soumaya B., Abdelghani H. “Deforestation effects on soil properties and erosion: a case study in the central Rif, Morocco”. Eurasian Journal of Soil Science, vol 11, Issue 4, pp. 275-283, DOI: 10.18393/ejss.1098600, 2022.
Moisa, M. B. “Soil loss estimation and prioritization using geographic information systems and the RUSLEmodel: a case study of the Anger River sub-basin, Western Ethiopia”.13 (3) 1170–1184, https://doi.org/10.2166/wcc.2022.433, 2022.
Adediji, A., Tukur, A. M., Adepoju, K. “Assessment of Revised Universal Soil Loss Equation (RUSLE) in Katsina State of Nigeria using Remote sensing and GIS”. Iranica Journal of Energy and Environment, 2010.
Arrebei, N., Sabir, M., Naimi, M., Chikhaoui, M., Raclot, D., “Assessment of Soil Erosion with RUSLE 3D and USPED in the Nekor Watershed (Northern Morocco)”. Open Journal of Soil Science 10(12): 631–642, 2020.
Ugese, A.A., Ajiboye, J.O., Ibrahim, E.S., Gajere, E.N., Itse, A., Shaba, H.A. “Soil Loss Estimation Using Remote Sensing and RUSLE Model in Koromi-Federe Catchment Area of Jos-East LGA, Plateau State, Nigeria”. Geomatics, 2, 499–517. https://doi.org/10.3390/ geomatics2040027, 2022.
Adeyemo, V. “The geological report of; Akure/Owo road, Igarra area, Igarra-Auchi road and Auchi-Fugal-Agenebode area”. doi:10.13140/rg.2.1.4935.4327, 2015.
Ogunrayi, O.A., Akinseye, F. M., Goldberg, V., Bernhofer, C. “Descriptive analysis of rainfall and temperature trends over Akure”. Journal of Geography and Regional planning, 9(11). doi:10.5897/JGRP2016.0583, 2016.
Renard, K. G., Yoder, D. C., Lightle, D. T., Dabney, S. M. “Universal Soil Loss Equation and Revised Soil Loss Equation”. In Wiley-Blackwell, Handbook of erosion modelling, pp. 137-167, 2011.
Prasannakumar, V., Shiny, R., Geetha, N., Vijith, H. “Spatial prediction of soil erosion risk by remote sensing, GIS and RUSLE approach: A case study of Siruvani River watershed in Attapady valley”. Environmental Earth science. doi:64.965-972.10.1007/s12665-0110913-3, 2011.
Schwab, G. O. Frevert, R. K., Edminster, T. W., Barnes, K. K. “Soil Water Conservation Engineering,” 3rd Edition, Wiley, New York, 1981.
Wubie, A. “GIS and remote sensing based forest change detection for sustainable forest management in bench maji zzone”. International Journal of Remote Sensing & Geoscience (IJRSG), 4, 1-6, 2015.
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