Delgado Otoniel Buenrostro, Mendoza Manuel, Granados Erna López, Geneletti Davide
Instituto de Investigaciones Agropecuarias y Forestales, Universidad Michoacana de San Nicolás de Hidalgo, Michoacán, Mexico.
Waste Manag. 2008;28(7):1137-46. doi: 10.1016/j.wasman.2007.07.002. Epub 2007 Sep 14.
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.
本文提出了三种空间决策支持模型(布尔逻辑、二元证据和多类地图重叠指数),用于进行卫生填埋场选址的土地适宜性分析。该研究在墨西哥库伊特佐湖流域开展,目的是找出符合环境法规以及市际标准(即至少有两个市可到达)的区域。生物物理和社会经济数据在地理信息系统(GIS)中进行处理。这三种模型在复杂性和限制性方面存在差异。布尔逻辑模型比其他两种模型更易于应用且限制性更强,因为它基于单个属性的评估。另一方面,二元数据和重叠指数方法相对更复杂,因为它们需要进行属性加权。结果表明,该流域28个市中的23个至少有一个区域被归类为高度适宜。最适宜的区域面积为63.8至204.5平方公里(占比1.5%至5%),且分布不均,而是集中在四个主要地点周围。其中面积最大且最适宜的地点位于流域中部,五个人口最密集的市均可到达该地点。所提出的方法是一种低成本的选择,可为发展中国家常见的空间决策过程提供支持。