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Municipal Solid Waste Landfill Site Selection Based on Fuzzy-AHP and Geoinformation Techniques in Asir Region Saudi Arabia

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  • Javed Mallick

    (Department of Civil Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha 61411, Saudi Arabia)

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.

Suggested Citation

  • Javed Mallick, 2021. "Municipal Solid Waste Landfill Site Selection Based on Fuzzy-AHP and Geoinformation Techniques in Asir Region Saudi Arabia," Sustainability, MDPI, vol. 13(3), pages 1-29, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1538-:d:491290
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    6. Islam Abou El-Magd & Mohamed Attwa & Mohammed El Bastawesy & Ahmed Gad & Ahmed Henaish & Sara Zamzam, 2022. "Qualitative and Quantitative Characterization of Municipal Waste in Uncontrolled Dumpsites and Landfills Using Integrated Remote Sensing, Geological and Geophysical Data: A Case Study," Sustainability, MDPI, vol. 14(8), pages 1-26, April.
    7. Torkayesh, Ali Ebadi & Rajaeifar, Mohammad Ali & Rostom, Madona & Malmir, Behnam & Yazdani, Morteza & Suh, Sangwon & Heidrich, Oliver, 2022. "Integrating life cycle assessment and multi criteria decision making for sustainable waste management: Key issues and recommendations for future studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    8. Jianghong Feng, 2022. "An integrated multi-criteria decision-making method for hazardous waste disposal site selection," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8039-8070, June.
    9. Ali Utku Akar & Sukran Yalpir & Suleyman Sisman & Gamze Goktepeli & Esra Yel, 2023. "A deterministic approach in waste management: delineation of potential territories in Turkey for industrial symbiosis of olive pomace, marble wastes and plastics by integrating Fuzzy AHP to GIS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5635-5662, June.
    10. Hamid Rezaei & Elżbieta Macioszek & Parisa Derakhshesh & Hassan Houshyar & Elias Ghabouli & Amir Reza Bakhshi Lomer & Ronak Ghanbari & Abdulsalam Esmailzadeh, 2023. "A Spatial Decision Support System for Modeling Urban Resilience to Natural Hazards," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
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