Analysis of land suitability for the siting of inter-municipal landfills in the Cuitzeo Lake Basin, Mexico.
ABSTRACT 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.
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ABSTRACT: The exponential rise in the urban population of the developing countries during the past decades accelerated the urbanization phenomenon and the great need for solid waste management. This fact brought awareness of the necessity to develop efficient solid waste management systems in land use planning. Due to insufficient funds, poor planning and growing needs for solid waste management systems, many Egyptian cities dispose their solid wastes in open sites. In Sinai Peninsula, cities are located either on the coastal zones or in deserts. Motivated by the Government objective in developing the cities of Sinai, this paper tries to participate in finding a solution using a spatial multi-criteria decision support system for locating potential landfill sites for North Sinai cities. Criteria concerning three themes were combined to produce three scenarios. Environmental theme related to soil characteristics; permeability and groundwater as well as vulnerable land cover units, faults and streams. Economic theme includes slope, road network, and power lines. Social theme includes distance from airports, archaeology sites and land aspect. Prioritizing the weight of a specific theme or giving an equal weight to the three themes produced different scenarios. A suitability index map was produced for each case. Comparing the three suitability indexes; zones with the highest values were selected resulting in a set of candidate sites for each city in the investigated region. According to the characteristic of a location, a scenario could be preferred. More than an option resulted and are available to the decision makers according to their strategies and objectives.The Egyptian Journal of Remote Sensing and Space Science. 12/2012; 15(2):125–133.
Conference Paper: Landfill Allocation. Providing Alternatives for Decision Makers[Show abstract] [Hide abstract]
ABSTRACT: In rural areas of developing countries as Mexico, waste disposal has usually been solved by disposing it into places such as ravines or sideways of roads far away from cities, although there are federal regulations (e.g. the Official Norm NOM-083-SEMARNAT-2003) that indicate which conditions should be met to select a site for a sanitary landfill. Such regulations include also criteria on the characteristics of construction and operation of the landfills. This study presents a GIS-supported procedure for the identification of suitable sites for the construction of sanitary landfills. The procedure intends to meet the criteria for site selection according to the cited regulation. The mandatory criteria are restrictive concerning location and proximity to superficial hydrology, groundwater and geology; furthermore, we also include other recommended criteria such as available area, clay soil for cell covering, access, slope, visibility, dispersion and type of vegetation. This procedure has been applied for diverse research projects in Oaxaca State at the southern part of Mexico and was compiled in an ArcToolbox® to facilitate its application.7th International Congress on Environmental Modelling and Software, San Diego, California, USA; 06/2014
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ABSTRACT: The main aim of this study was to develop a procedure that minimizes the wasting of space for the siting of hazardous waste landfills as part of a solid waste management system. We wanted to tackle the shortage of land for waste disposal that is a serious and growing problem in most large urban regions. The procedure combines a multi-criteria decision analysis (MCDA) approach with a geographical information system (GIS). The GIS was utilised to obtain an initial screening in order to eliminate unsuitable areas, whereas the MCDA was developed to select the most suitable sites. The novelty of the proposed siting procedure is the introduction of a new screening phase before the macro-siting step aimed at producing a “land use map of potentially suitable areas” for the siting of solid waste facilities which simultaneously takes into consideration all plant types. The issue of obtaining sites evaluations of a specific facility was coupled with the issue of not wasting land appropriate to facilitate other types of waste management options. In the developed case study, the use of an innovative criteria weighting tool (the “Priority Scale”) in combination with the Analytic Hierarchy Process was useful to easier define the priorities of the evaluation criteria in comparison with other classic methods such as the Paired Comparison Technique in combination with the Simple Additive Weighting method.Waste Management 11/2014; 34:2225-2238. · 3.16 Impact Factor