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Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq

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Listed:
  • Arsalan Ahmed Othman

    (Iraq Geological Survey, Al-Andalus Square, Baghdad 10068, Iraq
    College of Engineering, Department of Petroleum, Komar University of Science and Technology, Sulaimaniyah 460013, Iraq)

  • Ahmed K. Obaid

    (Department of Geology, University of Baghdad, Baghdad 10068, Iraq
    Department of Earth Sciences, University of Durham, Durham DH1 3LE, UK)

  • Diary Ali Mohammed Al-Manmi

    (College of Science, Department of Geology, University of Sulaimani, Sulaymaniyah 46001, Iraq)

  • Mohammad Pirouei

    (Department of Petroleum Geosciences, Faculty of Science, Soran University, Erbil 44008, Iraq)

  • Sarkawt Ghazi Salar

    (Department of Geography, College of Education, University of Garmian, Sulaymaniyah 46021, Iraq)

  • Veraldo Liesenberg

    (Department of Forest Engineering, Santa Catarina State University (UDESC), Lages 88520-000, SC, Brazil)

  • Ahmed F. Al-Maamar

    (Iraq Geological Survey, Al-Andalus Square, Baghdad 10068, Iraq)

  • Ahmed T. Shihab

    (Iraq Geological Survey, Al-Andalus Square, Baghdad 10068, Iraq)

  • Younus I. Al-Saady

    (Iraq Geological Survey, Al-Andalus Square, Baghdad 10068, Iraq)

  • Zaid T. Al-Attar

    (Department of Geology, University of Baghdad, Baghdad 10068, Iraq)

Abstract

The increasing world population and the growing quantity of solid waste have become a challenging problem facing governments and policy makers because of the scarcity of suitable sites for new landfills and the negative perception of these sites by the people. This study aims to evaluate the performance of different Multi-Criteria Decision-Analysis (MCDA) approaches using remote sensing and Geographic Information System (GIS) data for identifying suitable landfill sites (LFSs). We evaluated the methodologies used by various investigators and selected appropriate ones as suitable sites for Municipal Solid Waste (MSW) landfill in the Tanjero River Basin (TRB) in the Iraqi Kurdistan region. We applied Boolean Overlay (BO), Weighted Sum Method (WSM), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP), and Technique for Order Performance by Similarity to an Ideal Solution (TOPSIS) to allow combined use of 15 thematic layers as predictive factors (PFs). In this study, we applied the Topographic Position Index (TPI) for the first time to select MSW LFSs. Almost all methods showed reliable results and we identified eight suitable sites situated in the western part of the TRB having total area of ~18.35 km 2 . The best accuracy was achieved using the AHP approach. This paper emphasizes that the approach of the used method is useful for selecting LFSs in other areas, which are located in similar environments.

Suggested Citation

  • Arsalan Ahmed Othman & Ahmed K. Obaid & Diary Ali Mohammed Al-Manmi & Mohammad Pirouei & Sarkawt Ghazi Salar & Veraldo Liesenberg & Ahmed F. Al-Maamar & Ahmed T. Shihab & Younus I. Al-Saady & Zaid T. , 2021. "Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq," Sustainability, MDPI, vol. 13(22), pages 1-29, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12602-:d:679435
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    References listed on IDEAS

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    1. Grzegorz Ostasz & Dominika Siwiec & Andrzej Pacana, 2022. "Universal Model to Predict Expected Direction of Products Quality Improvement," Energies, MDPI, vol. 15(5), pages 1-18, February.

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    Keywords

    GIS; landfill; MSW; WSM; WPM; AHP; TOPSIS; MCDA;
    All these keywords.

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