Siting MSW landfills on Lesvos island with a GIS-based methodology

Department of Environmental Studies, University of the Aegean, Mytilene, Lesvos, Greece.
Waste Management & Research (Impact Factor: 1.3). 07/2003; 21(3):262-77. DOI: 10.1177/0734242X0302100310
Source: PubMed


The siting of Municipal Solid Waste (MSW) landfills in Greece is a difficult process due to land resource limitations, the country's mountainous, insular and primarily water permeable terrain as well as an exacerbated public opposition (NIMBY syndrome). A GIS-based methodology is presented here with the goal to identify and rank the candidate landfill sites for the entire island of Lesvos. The initial step of the methodology comprises a GIS-based spatial analysis that uses 10 criteria, by excluding all areas unsuitable for any waste disposal activity. The pre-selected areas are then further assessed by fieldwork and candidate landfill sites are determined. The candidate sites are ranked using 19 criteria with predefined weight coefficients on a 0 to 10 grading scale. The weight coefficients are estimated for each criterion using the Analytic Hierarchy Process (AHP), while the grading scheme is based on pre-defined guidelines. An overall suitability index is produced for each candidate site allowing comparison and best case selection. A case study for the island of Lesvos is presented here, in which eight candidate landfill sites were finally selected and ranked. Social factors highly determined the ultimate selection of the site in Lesvos, since the third rather than the first site suggested by the methodology, was finally approved by local authorities.

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    • "Landfill site selection is usually divided into two main steps: (i) the identification of potential sites through preliminary screening , and (ii) the evaluation of their suitability based on environmental impact assessment, economic feasibility, engineering design and cost effectiveness (Charnpratheep et al., 1997). The AHP is useful in estimating the weight coefficients for each criterion , which helps in structuring of multi-criteria in a decision hierarchy tree (Kontos et al., 2003). The AHP helps in group decision making, where group members can use their experience and knowledge to break down a problem into a hierarchy and solve it using the AHP steps. "
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    ABSTRACT: Municipal Solid Waste Management (MSWM) is one of the major environmental challenges in developing countries. Many efforts to reduce and recover the wastes have been made, but still land disposal of solid wastes is the most popular one. Finding an environmentally sound landfill site is a challenging task. This paper addresses a mini review on various aspects of MSWM (suitable landfill site selection, route optimization and public acceptance) using the Geographical Information System (GIS) coupled with other tools. The salient features of each of the integrated tools with GIS are discussed in this paper. It is also addressed how GIS can help in optimizing routes for collection of solid wastes from transfer stations to disposal sites to reduce the overall cost of solid waste management. A detailed approach on performing a public acceptance study of a proposed landfill site is presented in this study. The study will help municipal authorities to identify the most effective method of MSWM.
    Preview · Article · Oct 2014 · Waste Management & Research
    • "Recently, landfill site selection by integrating GIS and AHP (Charnpratheep et al., 1997; ; Ersoy and Bulut, 2009; Kontos et al., 2003;Sener et al., 2010; Siddiqui et al., 1996; Wang et al., 2009), a combination of MCA (multi-criteria analysis) and GIS methodology (Kontos et al., 2005), overlaying GIS digital maps (Kao et al., 1997; Vatalis and Manoliadis, 2002), coupling fuzzy methodology and GIS (Alves et al., 2009; Charnpratheep et al., 1997; Mehmet et al., 2010), and using a weighted linear combination (WLC) method and spatial cluster analysis (SCA) (Moeinaddini et al., 2010) have been reported. "

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    • "In the first stage, a GIS-based constraint mapping method was utilized in order to select sites fulfilling exclusionary criteria (Baban and Flannagan 1998; Kontos et al. 2003; JOURNAL OF SOLID WASTE TECHNOLOGY AND MANAGEMENT VOLUME 39, NO. 2 MAY 2013 Daneshvar et al. 2003). Equal weights for exclusionary criteria were assumed, so each constraint map incorporating exclusionary criteria could be integrated with other constraint maps in different combinations. "
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    ABSTRACT: The primary objective of this study was to develop an integrative methodology for landfill site selection that links a geographic information system (GIS)-based analysis with an economic framework. The basic site selection framework was to minimize social costs given constraints (exclusionary criteria) using a two-part process: (i) a GIS-based analysis that determines poten-tial sites which fulfill certain constraints and (ii) an economic analysis (e.g., meta-analysis and mean transfer value approaches) that ranks the selected sites according to social cost minimi-zation. The integrative approach was applied to the island of Oahu, Hawaii as a case study, and results were compared with a recent City and County of Honolulu study. Social costs were high compared with the City’s direct costs and varied by target sites due to market conditions, different methods used, different models used, and different lengths of landfill life. In terms of sensitivity, validity, and reliability criteria, the meta-analysis models were preferred to the mean transfer value approach. This study provided an alternative method for site selection that is less costly in terms of time and money. Further research is needed to analyze public preferences incorporating various individuals, groups, and minority populations.
    Full-text · Article · Jan 2013 · Journal of Solid Waste Technology and Management
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