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

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 km(2) (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.

[1]  Krerkpong Charnpratheep,et al.  Preliminary Landfill Site Screening Using Fuzzy Geographical Information Systems , 1997 .

[2]  M. van Herwijnen,et al.  Spatial decision support systems , 2002 .

[3]  V. Doyuran,et al.  Landfill site selection by using geographic information systems , 2006 .

[4]  Jess W. Everett,et al.  Landfill Siting Using Geographic Information Systems: A Demonstration , 1996 .

[5]  Jacek Malczewski,et al.  GIS and Multicriteria Decision Analysis , 1999 .

[6]  G. Higgs Integrating multi-criteria techniques with geographical information systems in waste facility location to enhance public participation , 2006, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[7]  O. Buenrostro,et al.  LA GESTIÓN DE LOS RESIDUOS SÓLIDOS MUNICIPALES EN LA CUENCA DEL LAGO DE CUITZEO, MÉXICO , 2003 .

[8]  Douglas J. Lober,et al.  Why not here?: The importance of context, process, and outcome on public attitudes toward siting of waste facilities , 1996 .

[9]  Serwan Mj Baban,et al.  Developing and implementing GIS-assisted constraints criteria for planning landfill sites in the UK , 1998 .

[10]  Kurt H. Riitters,et al.  Fuzzy Decision Analysis for Integrated Environmental Vulnerability Assessment of the Mid-Atlantic Region1 , 2002, Environmental management.

[11]  I. Israde-Alcántara,et al.  Geological Characterization and Environmental Implications of the Placement of the Morelia Dump, Michoacán, Central Mexico , 2005, Journal of the Air & Waste Management Association.

[12]  Davide Geneletti,et al.  Multicriteria analysis to compare the impact of alternative road corridors: a case study in northern Italy , 2005 .

[13]  Jehng-Jung Kao,et al.  Network Geographic Information System for Landfill Siting , 1997 .

[14]  Alejandro Velázquez,et al.  Peasant emigration and land-use change at the watershed level: A GIS-based approach in Central Mexico , 2006 .

[15]  Omar Al-Jarrah,et al.  Municipal solid waste landfill siting using intelligent system. , 2006, Waste management.

[16]  O. Buenrostro,et al.  Solid waste management in municipalities in Mexico: goals and perspectives , 2003 .

[17]  D. Komilis,et al.  Siting MSW landfills with a spatial multiple criteria analysis methodology. , 2005, Waste management.