Literature DB >> 32278923

An integrated approach to the selection of municipal solid waste landfills through GIS, K-Means and multi-criteria decision analysis.

Mahmood Eghtesadifard1, Payam Afkhami2, Arash Bazyar3.   

Abstract

Selecting the proper site for disposing of solid waste is one of the serious environmental and public health concerns in metropolises. This multifaceted issue encompasses environmental, economic, social, geographical, technical, and legal criteria. Some of these criteria, however, are less influenced by experts' subjective judgments because they display scientific specifications. This study drew on a novel, integrated method for the selection of municipal solid waste (MSW) landfills in the Iranian metropolis, Shiraz; the study relied on the GIS and multi-criteria decision-making methods, which helped to reduce the number of comparisons in collecting experts' opinions, simplified the selection process, and enhanced the assessment method. The method proposed was regulated by DEMATEL and ANP. Primarily 13 criteria were identified in five groups through the Delphi method. Next, using the integrated method, the weight of each criterion was determined and was assigned to the corresponding layer in ArcGIS 10.5. By combining these layers through a fuzzy logic, the sites satisfying the disposal conditions were identified. The sites were then divided into six areas through the k-means clustering algorithm, while MOORA, WASPAS and COPRAS methods were used to discover the best sites based on their priorities. Finally, to confirm the reliability of the results, compare and verify them, and conduct sensitivity analysis on them, 13 scenarios were used.
Copyright © 2020 Elsevier Inc. All rights reserved.

Keywords:  Geographic information system (GIS); K-means clustering algorithm; Landfill siting; Multi criteria decision analysis; Sustainable municipal solid waste management

Year:  2020        PMID: 32278923     DOI: 10.1016/j.envres.2020.109348

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  3 in total

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Review 2.  Integrating Human Waste with Microbial Fuel Cells to Elevate the Production of Bioelectricity.

Authors:  Chetan Pandit; Bhim Sen Thapa; Bhagyashree Srivastava; Abhilasha Singh Mathuriya; Umair-Ali Toor; Manu Pant; Soumya Pandit; Deepak-A Jadhav
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Review 3.  A review of clustering techniques for waste management.

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  3 in total

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