Document Detail

GIS-based multicriteria municipal solid waste landfill suitability analysis: A review of the methodologies performed and criteria implemented.
MedLine Citation:
PMID:  24626794     Owner:  NLM     Status:  Publisher    
Multicriteria spatial decision support systems (MC-SDSS) have emerged as an integration of the geographical information systems (GIS) and multiple criteria decision analysis (MCDA) methods. GIS-based MCDA allows the incorporation of conflicting objectives and decision maker (DM) preferences into spatial decision models. During recent decades, a variety of research articles have been published regarding the implementation of methods and/or tools in a variety of real-world case studies. The article discusses, in detail, the criteria and methods that are implemented in GIS-based landfill siting suitability analysis and especially the exclusionary and non-exclusionary criteria that can be considered when selecting sites for municipal solid waste (MSW) landfills. This paper reviews 36 seminal articles in which the evaluation of candidate landfill sites is conducted using MCDA methods. After a brief description of the main components of a MC-SDSS and the applied decision rules, the review focuses on the criteria incorporated into the decision models. The review provides a comprehensive guide to the landfill siting analysis criteria, providing details regarding the utilization methods, their decision or exclusionary nature and their monotonicity.
Oe Demesouka; Ap Vavatsikos; Kp Anagnostopoulos
Related Documents :
24959614 - Photovoltaics: reviewing the european feed-in-tariffs and changing pv efficiencies and ...
23112174 - Indian ocean warming modulates pacific climate change.
8664244 - A self-protecting servo-model for explanation of the mechanism involved in spontaneous ...
23553734 - A secure and efficient password-based user authentication scheme using smart cards for ...
15025664 - Are caregivers' reports of motivation valid? reliability and validity of the reiss prof...
21037244 - Bayesian sampling of genomic rearrangement scenarios via double cut and join.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-3-13
Journal Detail:
Title:  Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA     Volume:  -     ISSN:  1399-3070     ISO Abbreviation:  Waste Manag Res     Publication Date:  2014 Mar 
Date Detail:
Created Date:  2014-3-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9881064     Medline TA:  Waste Manag Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Pyrroles versus cyclic nitrones: catalyst-controlled divergent cyclization of N-(2-perfluoroalkyl-3-...
Next Document:  An inelastic neutron scattering study of dietary phenolic acids.