GIS Based Predictive Analysis of Gully Erosion Sites in Part of Delta State, Nigeria Using Soil Loss Model

• Authors: F. U. Okoli , Abayomi W. Lawal , Omeiza David Idris , Segun Muyiwa Oludiji
• Languages of publication: EN

Abstracts

EN

ABSTRACT Gully erosion presents a significant challenge in developing countries, adversely impacting soil integrity, infrastructure, and community well-being. This study focuses on Delta State, Nigeria, located between Latitudes 6°29'38.563’ N and 5°0'33.342’N and Longitude 4°59'10.59’E and 6°46'6.569’E, with specific attention to the Obomkpa and Jesse Erosion sites. This study centred on the predictive analysis mapping of gully erosion in some parts of Delta State using soil loss model (RUSLE). RUSLE model predicts long term rates of inter-rill erosion from field to different management practices which consists of five (5) parameters. The primary data include coordinates obtained from field survey, AsterDEM, satellite imageries were used to prepare the topographic factors and landuse/landcover factor while the secondary data of annual rainfall, Soil map and land management data were used to prepare rainfall erosivity, soil erodibility and conservation practices layer respectively. The thematic layers prepared were integrated into RUSLE model in ArcGIS to predict the erosion risk map. The results were categorized in their various levels of erosion risks as in low, moderate, high and very high. This comprehensive approach offers insights crucial for effective erosion management and sustainable environmental practices in the region.

Keywords

EN

ArcGIS; DEM; Erosion; RUSLE model; Satellite imagery; erosivity

Discipline

• GEOPHYSICS: GEOPHYSICS

• Publisher: Scientific Publishing House „DARWIN”
• Journal: World News of Natural Sciences
• Year: 2024
• Volume: 55
• Pages: 271-284

Contributors

author

F. U. Okoli

• Department of Surveying & Geoinformatics, Federal School of Surveying, Oyo, Nigeria

author

Abayomi W. Lawal

• Department of Surveying and Geoinformatics, Gateway (ICT) Polytechnic, Saapade, Nigeria

author

Omeiza David Idris

• Department of Urban and Regional Planning, Abubakar Tafawa Balewa University, Bauchi, Nigeria

author

Segun Muyiwa Oludiji

• Department of Surveying & Geoinformatics, Federal School of Surveying, Oyo, Nigeria

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• Document Type: article