Literature DB >> 25903176

Raster-based outranking method: a new approach for municipal solid waste landfill (MSW) siting.

Mohamad Hamzeh1, Rahim Ali Abbaspour, Romina Davalou.   

Abstract

MSW landfill siting is a complicated process because it requires integration of several factors. In this paper, geographic information system (GIS) and multiple criteria decision analysis (MCDA) were combined to handle the municipal solid waste (MSW) landfill siting. For this purpose, first, 16 input data layers were prepared in GIS environment. Then, the exclusionary lands were eliminated and potentially suitable areas for the MSW disposal were identified. These potentially suitable areas, in an innovative approach, were further examined by deploying Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) II and analytic network process (ANP), which are two of the most recent MCDA methods, in order to determine land suitability for landfilling. PROMETHEE II was used to determine a complete ranking of the alternatives, while ANP was employed to quantify the subjective judgments of evaluators as criteria weights. The resulting land suitability was reported on a grading scale of 1-5 from 1 to 5, which is the least to the most suitable area, respectively. Finally, three optimal sites were selected by taking into consideration the local conditions of 15 sites, which were candidates for MSW landfilling. Research findings show that the raster-based method yields effective results.

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Year:  2015        PMID: 25903176     DOI: 10.1007/s11356-015-4485-8

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  17 in total

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3.  Solid waste facilities location using of analytical network process and data envelopment analysis approaches.

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4.  An analytic network process model for municipal solid waste disposal options.

Authors:  Sheeba Khan; Mohd Nishat Faisal
Journal:  Waste Manag       Date:  2007-09-11       Impact factor: 7.145

5.  Landfill site selection using spatial information technologies and AHP: a case study in Beijing, China.

Authors:  Guiqin Wang; Li Qin; Guoxue Li; Lijun Chen
Journal:  J Environ Manage       Date:  2009-04-18       Impact factor: 6.789

6.  Site selection of sanitary landfills on the small island of Mauritius using the analytical hierarchy process multi-criteria method.

Authors:  T Ramjeawon; B Beerachee
Journal:  Waste Manag Res       Date:  2008-10

7.  An Analytic Network Process approach for siting a municipal solid waste plant in the Metropolitan Area of Valencia (Spain).

Authors:  Pablo Aragonés-Beltrán; Juan Pascual Pastor-Ferrando; Fernando García-García; Amadeo Pascual-Agulló
Journal:  J Environ Manage       Date:  2010-01-18       Impact factor: 6.789

8.  Analysis of land suitability for the siting of inter-municipal landfills in the Cuitzeo Lake Basin, Mexico.

Authors:  Otoniel Buenrostro Delgado; Manuel Mendoza; Erna López Granados; Davide Geneletti
Journal:  Waste Manag       Date:  2007-09-14       Impact factor: 7.145

9.  Multi-criteria GIS-based siting of an incineration plant for municipal solid waste.

Authors:  Gilberto Tavares; Zdena Zsigraiová; Viriato Semiao
Journal:  Waste Manag       Date:  2011-05-19       Impact factor: 7.145

10.  Elemental content of Vietnamese rice. Part 2. Multivariate data analysis.

Authors:  S Kokot; T D Phuong
Journal:  Analyst       Date:  1999-04       Impact factor: 4.616

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  3 in total

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2.  Prevention of landfill pollution by multicriteria spatial decision support systems (MC-SDSS): development, implementation, and case study.

Authors:  Afshin Khoshand; Ali Hasani Bafrani; Mohammad Zahedipour; Seyed Ahmad Mirbagheri; Majid Ehtehsami
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-06       Impact factor: 4.223

3.  Environmental risk mapping of potential abandoned uranium mine contamination on the Navajo Nation, USA, using a GIS-based multi-criteria decision analysis approach.

Authors:  Yan Lin; Joseph Hoover; Daniel Beene; Esther Erdei; Zhuoming Liu
Journal:  Environ Sci Pollut Res Int       Date:  2020-05-28       Impact factor: 4.223

  3 in total

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