Suitability analysis for siting MSW landfills and its multicriteria spatial decision support system: method, implementation and case study.

摘要: Abstract Multicriteria spatial decision support systems (MC-SDSS) have emerged as an integration of geographical information (GIS) and multiple criteria analysis (MCDA) methods for incorporating conflicting objectives makers’ (DMs’) preferences into models. This article presents a raster-based MC-SDSS that combines the analytic hierarchy process (AHP) compromise programming methods, such TOPSIS (technique order preference by similarity to ideal solution) Ideal Point Methods. To best our knowledge it is first time synergy AHP implemented in raster-driven GIS-based landfill suitability analysis. procedure supported system (SDSS) was developed within widely used commercial GIS software package. A real case study Thrace region northeast Greece serves guide on how conduct MSW site with proposed MC-SDSS. Moreover, identifying disposal sites accomplished performing four computational models synthesizing DMs per criterion preferential system. Based results, comparison performed according index estimations. According them Euclidean distance metric present strong similarities. When compared metric, seems generate results closer derived Manhattan metric. The Chebychev all other approaches revealed greatest deviations.