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


Por: Delgado, OB, Mendoza, M, Granados, EL, Geneletti, D

Publicada: 1 ene 2008
Categoría: Waste Management and Disposal

Resumen:
This paper presents three spatial decision-support models (Boolean logic, binary evidence and overlapping index of multiple class maps) to perform a land suitability analysis for sanitary landfill siting. The study was carried out in the basin of Lake Cuitzeo, Mexico, with the objective of locating areas that comply with environmental regulations and with the inter-municipality criterion, i.e., that are accessible by at least two municipalities. Biophysical and socio-economic data were processed in a Geographic Information System (GIS). The three models differ in their complexity and restrictiveness. The Boolean logic model is easier to apply and more restrictive than the other two, because it is based on the assessment of single attributes. On the other hand, the binary data and overlapping index methods are relatively more complex because they require attribute weighting. The results showed that 23 of the 28 municipalities included in the basin have at least one area that was classified as highly suitable. The most suitable areas covered from 63.8 to 204.5 km2 (from 1.5% to 5%), and they are not distributed homogeneously, but clustered around four main sites. The larger and most suitable of these sites is located in the central part of the basin, and it can be accessed by five of the most densely populated municipalities. The proposed approach represents a low-cost alternative to support a common spatial decision-making process in developing countries. © 2007 Elsevier Ltd. All rights reserved.

Filiaciones:
Univ Nacl Autonoma Mexico, Ctr Invest Geog Ambiental, Morelia, Michoacan, Mexico
ISSN: 0956053X
Editorial
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, Estados Unidos America
Tipo de documento: Article
Volumen: 28 Número: 7
Páginas: 1137-1146
WOS Id: 000255991200006
ID de PubMed: 17869499

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