Identifying and Ranking Landfill Sites for Municipal Solid Waste Management: An Integrated Remote Sensing and GIS Approach

Aslam, Bilal and Maqsoom, Ahsen and Tahir, Muhammad Dawar and Ullah, Fahim ORCID: https://orcid.org/0000-0002-6221-1175 and Rehman, Muhammad Sami Ur and Albattah, Mohammed (2022) Identifying and Ranking Landfill Sites for Municipal Solid Waste Management: An Integrated Remote Sensing and GIS Approach. Buildings, 12 (5):605. pp. 1-20.

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Abstract

Disposal of municipal solid waste (MSW) is one of the significant global issues that is more evident in developing nations. One of the key methods for disposing of the MSW is locating, assessing, and planning for landfill sites. Faisalabad is one of the largest industrial cities in Pakistan. It has many sustainability challenges and planning problems, including MSW management. This study uses Faisalabad as a case study area and humbly attempts to provide a framework for identifying and ranking landfill sites and addressing MSW concerns in Faisalabad. This method can be extended and applied to similar industrial cities. The landfill sites were identified using remote sensing (RS) and geographic information system (GIS). Multiple datasets, including normalized difference vegetation, water, and built-up areas indices (NDVI, NDWI, and NDBI) and physical factors including water bodies, roads, and the population that influence the landfill site selection were used to identify, rank, and select the most suitable site. The target area was distributed into 9 Thiessen polygons and ranked based on their favorability for the development and expansion of landfill sites. 70% of the area was favorable for developing and expanding landfill sites, whereas 30% was deemed unsuitable. Polygon 6, having more vegetation, a smaller population, and built-up areas was declared the best region for developing landfill sites and expansion as per rank mean indices and standard deviation (SD) of RS and vector data. The current study provides a reliable integrated mechanism based on GIS and RS that can be implemented in similar study areas and expanded to other developing countries. Accordingly, urban planning and city management can be improved, and MSW can be managed with dexterity.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Surveying and Built Environment (1 Jan 2022 -)
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Surveying and Built Environment (1 Jan 2022 -)
Date Deposited: 10 May 2022 22:57
Last Modified: 10 May 2022 22:57
Uncontrolled Keywords: geographic information systems; landfill site selection; landfill site ranking; remote sensing; solid waste; solid waste management
Fields of Research (2020): 33 BUILT ENVIRONMENT AND DESIGN > 3301 Architecture > 330199 Architecture not elsewhere classified
33 BUILT ENVIRONMENT AND DESIGN > 3302 Building > 330202 Building construction management and project planning
33 BUILT ENVIRONMENT AND DESIGN > 3399 Other built environment and design > 339999 Other built environment and design not elsewhere classified
40 ENGINEERING > 4005 Civil engineering > 400501 Architectural engineering
33 BUILT ENVIRONMENT AND DESIGN > 3302 Building > 330201 Automation and technology in building and construction
40 ENGINEERING > 4005 Civil engineering > 400504 Construction engineering
40 ENGINEERING > 4013 Geomatic engineering > 401302 Geospatial information systems and geospatial data modelling
46 INFORMATION AND COMPUTING SCIENCES > 4699 Other information and computing sciences > 469999 Other information and computing sciences not elsewhere classified
40 ENGINEERING > 4005 Civil engineering > 400599 Civil engineering not elsewhere classified
33 BUILT ENVIRONMENT AND DESIGN > 3301 Architecture > 330107 Architecture management
Socio-Economic Objectives (2020): 12 CONSTRUCTION > 1206 Environmentally sustainable construction activities > 120603 Management of solid waste from construction activities
Identification Number or DOI: https://doi.org/10.3390/buildings12050605
URI: http://eprints.usq.edu.au/id/eprint/48390

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