Geospatial assessment of the efficiency of waste disposal facilities in Lugbe, FCT
National Space Research and Development Agency (NASRDA), Nigeria.
Research Article
World Journal of Advanced Research and Reviews, 2024, 22(03), 885–901
Publication history:
Received on 04 May 2024; revised on 13 June 2024; accepted on 15 June 2024
Abstract:
Solid waste consists of substances or objects that are disposed of and are mostly found where there are human activities, these substances are accumulations of waste materials generated from domestic, commercial, and industrial operations that are deemed unworthy or rejected and required to be disposed of. The study aims to assess the efficiency of waste disposal facilities in Lugbe FCT, with specific objectives to; evaluate the spatial distribution of waste collection sites (dumpsites) in the area, evaluate the proximity of dumpsites (waste collection sites) to the residential areas, and evaluate the level of appropriate use of waste bins in the study area. Both primary and secondary data were used for this study. The primary data used are the X and Y coordinates of dumpsite locations and questionnaire administration while the secondary data includes; the Google Earth image. Nearest neighbour analysis was performed on the dumpsite's coordinate locations to affirm its spatial distribution pattern in the study area. Buffering analysis was performed on the dumpsite locations with 300m standard to identify the proximity of dumpsites to buildings while the descriptive statistical method was used to analyze the retrieved administered questionnaires to assess the level of the appropriate use of waste bins in the study area. The result of the dispersed spatial distribution of the dumpsites and the result of the proximity analysis performed on dumpsites to the residential area revealed that buildings were found around almost all the dumpsites except the Park Estate dumpsite where no building is found around the dumpsite. At the level of waste bin appropriateness, all the waste bin types were adopted but 72% of waste bin types are appropriate.
Keywords:
Geospatial; Dumpsites; Waste-bin; Google Earth; Average Nearest Neighbour; Proximity
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0