PAPER TITLE :A GIS-BASED MULTI-CRITERIA DECISION ANALYSIS FOR LANDFILL SUITABILITY ASSESSMENT IN IBADAN METROPOLIS, SOUTHWEST, NIGERIA

JOURNAL Of SUSTAINABLE TECHNOLOGY | VOLUME 10 NUMBER 1 2019

Paper Details

  • Author(s) : Akinluyi, F.O.
  • Abstract:

Environmental implications of indiscriminate dumping of solid wastes on the society
are enormous. In order to ensure a sustainable and clean environment, establishment of sanitary
landfill for effective disposal of solid waste is very essential. To achieve this, Landsat-8 imagery, soil
map, srtm imagery, geological and road network maps were subjected to image processing algorithms
to generate following GIS layers: land use/land cover, lineament density, soil, drainage network,
slope, geology, geomorphology, and road network. The multi criteria decision analysis (MCDA)
technique was employed as a decision tool to decipher the eight thematic factors that would enhance
the siting of landfill in the highly populated Ibadan Metropolis, southwest Nigeria. These layers were
prepared as raster format in GIS and masked to the study area and serves as input layers into MCDA
using weighted overlay approach. Weights were computed from analytical hierarchical process (AHP)
extension for ArcGIS for spatial decision making based on the relative importance of each criterion
selected and most suitable sites were determined using the numerical evaluation provided by MCDA
in weighted overlay function. The suitability of the area was classified into unsuitable, low suitability,
moderately suitable and high suitability. The results show that 3.4% area is unsuitable, 45.3% area
is low suitable, 47.1% area is moderately suitable and 4.2% area is highly suitable for dumping of
waste. The study concluded that areas categorised as high suitability are the most preferred locations
for siting of landfills. The spatial information on the suitability of landfill sites is very useful for
efficient and effective practice of waste management.
Keywords: Remote Sensing, Geographical Information System (GIS), Multi-Criteria Decision Analysis
(MCDA), Analytical Hierarchy Process (AHP), Landfill