Finding a suitable site to dispose solid waste is a difficult task for municipality because it is necessary to consider the different factors and criteria in the landfill siting process. In this study, in order to consider all parameters, a combination of Geographic Information System (GIS) and the Analytic Hierarchy Process (AHP) was used for landfill site selection. For the purpose of making decisions in landfill site selection a hierarchy structural was formed and different parameters have been identified, including distance to groundwater, distance to surface water, sensitive ecosystems, land cover, distance to urban and rural areas, land uses, distance to roads, slope, soil type and distance to waste generation places. At first, the rating method was used to evaluate each criterion individually. Then, the relative importance of criteria to each other was determined by an analytic hierarchy process (AHP). Simple Additive Weighting (SAW) method was applied to evaluate the land suitability. The results showed that 38% of the study area have high suitability for land filling. Finally, five sites were a candidate for field investigation with more details.

Landfill site selection using GIS and AHP: a case study: Behbahan, Iran

Although a lot of research has focused on energy recovery and recycling of valuable materials from wastes to reduce loads on landfills, landfilling is still an inseparable part of solid waste management. Since landfills potentially pose a risk to human health and the surrounding environment, landfill site selection is an important endeavor that has to be carried out with great care. Choosing a suitable location for landfills depends on several factors and is a complicated procedure. In this paper, a comprehensive review of landfill site selection methods, with an emphasis on multi criteria decision making (multiple criteria decision analysis) has been presented. Assessments indicate that the most frequently used methods are weighted linear combination (WLC), ordered weighted averaging (OWA), analytic hierarchy process (AHP), fuzzy analytic hierarchy process (F-AHP), TODIM, fuzzy TODIM, analytic network process (ANP), fuzzy-analytic network process (F-ANP), and grey systems theory, each of which is discussed. The most widely used factors for selecting a landfill site are groundwater depth, surface water vicinity, elevation, land slope, soil permeability, soil stability, flooding susceptibility, lithology and stratification, faults, land use type, nearby settlements and urbanization, cultural and protected site vicinity, wind direction, roads, railways, proximity to building materials, pipelines and powerlines, and proximity to airports.

Landfill site selection using multi criteria decision making: Influential factors for comparing locations.

The current study presents the integration of geographical information system (GIS) and multi-criteria decision analysis (MCDA) for municipal landfill site selection, a case example in Iran. In the first step, useful criteria were determined based on the literature review, national standards and regulations, expert opinion, data availability and regional characteristics. Several criteria including distance from groundwater resources, distance from surface water, distance from urban and rural areas, distance from protected areas, land use, distance from faults, distance from roads and the slope were selected, and a hierarchical structure was formed for landfill suitability. The maps of the criteria were prepared using ArcGIS 10.2. Using different fuzzy membership functions, the maps were standardized. An AHP-based pairwise comparison was applied to calculate the weights of the parameters, and standardized maps were overplayed using the weighted layer combination approach to gain the landfill suitability map in the study area. The final map was assorted into four suitability classes, i.e., high, moderate, low and unsuitable regions. The result indicates that almost 92% of the study area is inappropriate and cannot be considered as landfill. The comprehensive field visits were performed to further assessment, and finally, three candidate sites were suggested. The result illustrated that an integrating approach of GIS and MCDA is effective in landfill site selection.

Integrating GIS and multi-criteria decision analysis for landfill site selection, case study: Javanrood County in Iran

Landfill location selection is a multi-criteria decision problem and has a strategic importance for many regions. The conventional methods for landfill location selection are insufficient in dealing with the vague or imprecise nature of linguistic assessment. To resolve this problem, fuzzy multi-criteria decision-making methods are proposed. The aim of this paper is to use fuzzy TODIM (the acronym for Interactive and Multi-criteria Decision Making in Portuguese) and the fuzzy analytic hierarchy process (AHP) methods for the selection of landfill location. The proposed methods have been applied to a landfill location selection problem in the region of Casablanca, Morocco. After determining the criteria affecting the landfill location decisions, fuzzy TODIM and fuzzy AHP methods are applied to the problem and results are presented. The comparisons of these two methods are also discussed.

/pdf/comparison-of-fuzzy-ahp-and-fuzzy-todim-methods-for-landfill-49im6ecymh.pdf

Comparison of fuzzy AHP and fuzzy TODIM methods for landfill location selection

One of the main issues with solid waste management is finding appropriate sites for landfill Non-scientific and inappropriate disposal practices have a negative impact on the environment which affects the quality of life The study provides an integrated framework with a focus on structuring the decision-making process for the landfill suitability site map This could be determined by the use of proper data collection, criterion weighting and normalization In order to understand the procedures that affect the suitability of landfill sites, the integrated GIS-based fuzzy-AHP-MCDA method was implemented to appropriate landfill site for Abha-Khamis-Mushyet located in Aseer region Following the extensive literature review and expert opinion, 10 themes were selected for this study such as drainage density, land use/land cover (LULC), slope, elevation, lineament density, normalized difference vegetation index (NDVI), rainfall, distance from the airport, distance from road, and geology These themes have been developed through RS (remote sensing) and conventional data Subsequently, potential landfill sites were identified and divided into five classes: very low suitable (fuzzy value 020–045), low suitable (046–055), moderately suitable (056–065), high suitable (066–075), and very high suitable (076–092) According to the statistical analysis, 2391% and 367% of the total area were within a very good and good landfill area, while 3814% and 2284% accounted for the moderate and poor suitable zone, respectively As a quality-based site, the existing two landfill sites were located over a very low suitable and low suitable potential area while one landfill site was located over the high suitable∙ The spatial variance of high and very high potential landfill site zones found in the north-eastern, east-central and south-eastern parts of the watershed The sensitivity analysis was performed to determine the efficacy of each parameter and reveals that the effective weights for each theme differ slightly from the theoretical weight assigned to the landfill site suitability zone This technique and its findings can provide an appropriate guideline to assist hydrogeologists, engineers, regional planners, and decision-makers in selecting an optimal landfill site in the future

/pdf/municipal-solid-waste-landfill-site-selection-based-on-fuzzy-4ob8z7r67b.pdf

Municipal Solid Waste Landfill Site Selection Based on Fuzzy-AHP and Geoinformation Techniques in Asir Region Saudi Arabia

Results: The results of the current research proposed five locations with the fuzzy membership value of more than 0.9 as the best landfill sites in the study area. The sites were located in the North and North East of Bardaskan city. The study demonstrated that 51.97 % of the study area was not suitable for landfill location whilst only 7.8 % was highly suitable for landfill siting. About 1956.61 hectares of the studied area was suitable for territorial landfill siting. Conclusions: The study results guided the municipality authorities to select the best landfill site among the candidate ones, and due to the broad spectrum of classifications, the output results can enable decision makers to make appropriate decisions to reduce the costs both in economical and bioenvironmental criteria.

Seyed Ali Alavi

Papers

Convenient Landfill Site Selection by Using Fuzzy Logic and Geographic Information Systems: A Case Study in Bardaskan, East of Iran