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Delineation of Landfill Sites for Municipal Solid Waste Management using GIS
The use of landfills has been applauded in municipal solid waste management as a critical solution to open dumping and burning. Selection of suitable landfill sites presents a challenge as it involves integration of numerous criteria in waste management and sustainability template without prejudice to the environment. The aim of this paper is to delineate appropriate sites for landfills in the basement complex of Ado-Ekiti, South-western Nigeria. The need for landfill sites that meet scientific and environmental requirements is compelling. Landsat-8 OLI & TIRS images of 2016 and ASTER imagery (30m resolution) were acquired to generate land use/land cover maps and site selection criteria. The composite image was subjected to supervised classification using the maximum likelihood algorithm in ArcGIS 10.2.2. The classification permitted the extraction of the land use of urban areas (settlements), agricultural areas, and bare land. Geoelectrical characterization was deployed to produce in situdata. Integration of data using a weighted overlay yielded a landfill suitability index map that classified the area into four categories of unsuitable, partly suitable, moderately suitable, and very suitable locations of landfill sites. Sanitary landfills are desirable to mitigate the adverse effects of widespread open dumping. Doi:10.28991/HEF-2022-03-03-05 Full Text: PDF
Delineation of Landfill Sites for Municipal Solid Waste Management using GIS
The use of landfills has been applauded in municipal solid waste management as a critical solution to open dumping and burning. Selection of suitable landfill sites presents a challenge as it involves integration of numerous criteria in waste management and sustainability template without prejudice to the environment. The aim of this paper is to delineate appropriate sites for landfills in the basement complex of Ado-Ekiti, South-western Nigeria. The need for landfill sites that meet scientific and environmental requirements is compelling. Landsat-8 OLI & TIRS images of 2016 and ASTER imagery (30m resolution) were acquired to generate land use/land cover maps and site selection criteria. The composite image was subjected to supervised classification using the maximum likelihood algorithm in ArcGIS 10.2.2. The classification permitted the extraction of the land use of urban areas (settlements), agricultural areas, and bare land. Geoelectrical characterization was deployed to produce in situdata. Integration of data using a weighted overlay yielded a landfill suitability index map that classified the area into four categories of unsuitable, partly suitable, moderately suitable, and very suitable locations of landfill sites. Sanitary landfills are desirable to mitigate the adverse effects of widespread open dumping. Doi:10.28991/HEF-2022-03-03-05 Full Text: PDF
Delineation of Landfill Sites for Municipal Solid Waste Management using GIS
Oyedele, Akintunde A. (Autor:in) / Omosekeji, Ayobami E. (Autor:in) / Ayeni, Olusola O. (Autor:in) / Ewumi, Taofeek O. (Autor:in) / Ogunlana, Funmilola O. (Autor:in)
01.09.2022
doi:10.28991/HEF-2022-03-03-05
Journal of Human, Earth, and Future; Vol 3, No 3 (2022): September; 321-332 ; 2785-2997
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
710
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