Abstract
One of the main issues with solid waste management is finding appropriate sites for landfill. Non-scientific and inappropriate disposal practices have a negative impact on the environment which affects the quality of life. The study provides an integrated framework with a focus on structuring the decision-making process for the landfill suitability site map. This could be determined by the use of proper data collection, criterion weighting and normalization. In order to understand the procedures that affect the suitability of landfill sites, the integrated GIS-based fuzzy-AHP-MCDA method was implemented to appropriate landfill site for Abha-Khamis-Mushyet located in Aseer region Following the extensive literature review and expert opinion, 10 themes were selected for this study such as drainage density, land use/land cover (LULC), slope, elevation, lineament density, normalized difference vegetation index (NDVI), rainfall, distance from the airport, distance from road, and geology. These themes have been developed through RS (remote sensing) and conventional data. Subsequently, potential landfill sites were identified and divided into five classes: very low suitable (fuzzy value 0.20–0.45), low suitable (0.46–0.55), moderately suitable (0.56–0.65), high suitable (0.66–0.75), and very high suitable (0.76–0.92). According to the statistical analysis, 23.91% and 3.67% of the total area were within a very good and good landfill area, while 38.14% and 22.84% accounted for the moderate and poor suitable zone, respectively. As a quality-based site, the existing two landfill sites were located over a very low suitable and low suitable potential area while one landfill site was located over the high suitable∙ The spatial variance of high and very high potential landfill site zones found in the north-eastern, east-central and south-eastern parts of the watershed. The sensitivity analysis was performed to determine the efficacy of each parameter and reveals that the effective weights for each theme differ slightly from the theoretical weight assigned to the landfill site suitability zone. This technique and its findings can provide an appropriate guideline to assist hydrogeologists, engineers, regional planners, and decision-makers in selecting an optimal landfill site in the future.
Highlights
Municipal solid waste (MSW) is generally used to describe as all solid waste produced by domestic, industrial, commercial, institutional, or constructional waste and its substances, i.e., metals, food, plastics, glass, and paper [1,2,3,4]
Random and non-scientific selection of landfill sites may have a negative impact on the climate, people and surrounding aquatic resources, including groundwater [32]
According to the statistical analysis, 23.91% and 3.67% of the total area were under good and very good Landfill Site Potential Zone (LSPZ), while 22.84% and 38.14% accounted to the poor and moderate potential zone, respectively∙ As a quality-based zoning, the existing two landfill sites were located over a very low suitable and low suitable potential area whereas 1 landfill site was located over the high suitable∙ The spatial variance of high and very high potential landfill site zones found in the north-eastern, east-central, and south-eastern parts of the waterFigure shed
Summary
Municipal solid waste (MSW) is generally used to describe as all solid waste produced by domestic, industrial, commercial, institutional, or constructional waste and its substances, i.e., metals, food, plastics, glass, and paper [1,2,3,4]. Problems are becoming more serious where the non-scientific method of solid waste management is practiced due to population growth, urbanization, and low human awareness [6,7]. It has become one of the main challenges in urban planning, in developing countries due to increased waste generation and high handling costs [8,9]. The rapid increase in MSW from urban sprawl causes severe water, air, and environmental pollution, in urban areas [10].
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