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Research Article Open access CC BY 4.0

Identification of Potential Zones for Solid Waste Disposal in Jos South Local Government Area of Plateau State, Nigeria

Kulokom Stephen, Balogun Bolarinwa Olutayo, Fagbeja Mofoluso

Journal of Geography, Environment and Earth Science International · pp. 21–32 · Published 24 Mar 2021

10.9734/jgeesi/2021/v25i130264

Abstract

Disposal is a critical phase in the management of municipal solid waste, due to unavailability of suitable facilities to treat and dispose of the large amount of municipal solid waste generated daily in metropolitan cities. Improper municipal solid waste disposal locally, cause environmental impacts such as contamination of soil, water pollution, and increase methane emissions. In this study, an attempt has been made to use GIS and remote sensing to identify high potential zones for solid waste disposal in Jos South Local Government Area of Plateau State between 2019 and 2020. Primary data and secondary data were used for this study. The position data of the existing dumpsites in the study area were acquired in-situ with a handheld Global Positioning System (GPS) receiver. The secondary data consists of NigeriaSAT-X, geological, administrative maps, Google map, hydro-geophysical data and Shuttle Radar Topographic Mission (SRTM) images. Thematic layers considered in this study include drainage, road and land use/land cover, lithology and geology. The dumpsite point (X, Y) was imported as shapefile and superimposed on the study area boundary to show the existing location. Digital image segmentation of NigeriaSAT-X and geology dataset was carried out to derive the land use/ land cover and geology classifications of the study area. Lithological analysis was carried out using Kriging Method to interpolate the hydro-geophysical data. The slope, land/use, geology, drainage, road, waterbody, built-up and lithology were reclassified and overlaid using Weighted Sum Overlay Method a Spatial Analyst tool in ArcGIS 10.4 to generate the potential zones for solid waste disposal. The result shows the potential zones for solid waste disposal and characterized into unsuitable, less suitable, moderately suitable, suitable and highly suitable.

Municipal solid waste geographic information system global positioning system shuttle radar topographic mission green house gases land use land cover

References (10)

  1. 1 MUNICIPAL SOLID WASTE CHARACTERISTICS AND MANAGEMENT IN NIGERIA
  2. 2 The Geology and Geography of Northern Nigeria [DOI]
  3. 3 Landfill site selection using geographic information system and analytical hierarchy process: A case study Al-Hillah Qadhaa, Babylon, Iraq [DOI]
  4. 4 Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis [DOI]
  5. 5 Municipal Solid Waste Characteristics and Management in Kolkata, India [DOI]
  6. 6 An Optimal Planning for the Reuse of Municipal Solid Waste Considering Economic, Environmental and Safety Objectives [DOI]
  7. 7 The application and development of country-specific parameters for accurate estimations of methane emissions from solid-waste disposal sites [DOI]
  8. 8 Landfill Sites Identification Using GIS and Multi-Criteria Method: A Case Study of Intermediate City of Punjab, Pakistan [DOI]
  9. 9 The Geology of the Plateau Tinfields [DOI]
  10. 10 Development and Application of Expert Geographic Information System [DOI]

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Challenges of Waste Disposal and Management in Peri-Urban Location around Ilorin Metropolis North Central Nigeria

K. Adebayo, Modupe Lateefat, M. Abimbola · American Journal of Environment Studies · 2024

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