Multifactor Spatial Analysis for Landfill Siting

Abstract

Siting a landfill typically requires processing a significant amount of spatial data with respect to various siting rules, regulations, factors, and constraints. Manually performing such a spatial analysis with drawing tools is generally tedious. A modem geographical information system (GIS), although capable of manipulating spatial data to facilitate the analysis, lacks the ability to locate an optimal site when compactness and other factors are simultaneously considered. An appropriate siting model was therefore explored for use with a raster-based GIS. A mixed-integer programming model was developed to obtain a site with optimal compactness. A comparison was made between the model and two other previously proposed models in terms of their applicability and simplicity for raster-based data. The compactness model was further extended to include multiple siting factors with weights determined using map layer analysis functions provided by a GIS. This multifactor model was applied to analyze the effects of varied weights and factors on making a siting decision.

Subregion Districting Analysis for Municipal Solid Waste Collection Privatization

“…Three factors are thus adopted when evaluating the appropriateness of a MSW collection-districting plan. Similar to previous studies, 13,14 individual values for these factors for all geographical units of a subregion are accumulated to evaluate the suitability of a subregion districting.…”

“…Without this compactness factor, subregions may be in discrete or irregular shapes. Different definitions are available for compactness, and a discussion of them was provided by Kao and Lin 13 for a landfill siting study. During that landfill siting research, for ease of integration into a landfill siting model, the compactness was defined as the value of the total perimeter over the total landfill site area.…”

Benefits from GIS Based Modelling for Municipal Solid Waste Management

“…During this process the challenge is to make an environmentally friendly and financially sound selection. For this purpose, in the last few decades, many studies for landfill site evaluation have been carried out using GIS and multicriteria decision analysis (Geneletti, 2010;Higgs, 2006;Nas et al, 2010;Sener et al, 2006), GIS in combination with analytic hierarchy process (Saaty, 1980) -AHP (Vuppala et al, 2006;Wang et al, 2009), GIS and fuzzy systems (Chang et al, 2008;Gemitzi et al, 2007;Lofti et al, 2007), GIS and factor spatial analysis (Biotto et al, 2009;Kao & Lin, 1996), as well as GIS-based integrated methods (Hatzichristos & Giaoutzi 2006;Gómez-Delgado & Tarantola 2006;Kontos et al, 2003Kontos et al, , 2005Zamorano et al, 2008). A large fraction of these applications produce binary outputs while most recent ones aim at evaluating a "suitability index" as a tool for ranking of the most suitable areas (Kontos et al, 2005).…”

Untitled

“…Other siting techniques combine multiple criteria analysis with GIS. GIS supplied with information gained by fuzzy logic, simple additive weighting (SAW) and analytic hierarchy process (AHP) has been used in landfill site selection all around the world (Hussey et al, 1996;Kao and Lin, 1996;Siddiqui et al, 1996;Charnpratheep et al, 1997;Kao et al, 1997).…”