Suitability analysis for municipal solid waste landfill site using geographic information system and fuzzy logic
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CitationAkıncı, H., Demiraslan, K. O. (2020). Suitability analysis for municipal solid waste landfill site using geographic information system and fuzzy logic. Fresenius Environmental Bulletin. 29(12), 11514-11525.
The increase in population and urbanization causes numerous environmental problems. Among these problems, solid waste is an issue in itself. As a result of the inadequate management of solid waste, many problems can emerge, such as air, water, and soil pollution, environmental and human health de¬ terioration, spread of infectious diseases, and un¬ pleasant aesthetics and odor. The phenomenon of solid waste management involves the processes from collecting waste from its source to its disposal. The disposal process is the final step of this management, and many technologies are used worldwide for the disposal process. Although there is more than one method, the last step is the landfill method. The se¬ lection of a landfill site is a complex process in which various parameters are considered. The Black Sea Region is among the regions with very few solid waste landfill facilities in Turkey. Artvin, one of the provinces in this region, does not contain solid waste landfill facilities in any central and other district mu¬ nicipalities. The purpose of this study is to select a location for the solid waste landfill facility that will serve the districts of Arhavi, Hopa, and Kemalpaça, which are located on the Black Sea coast of Artvin province. The parameters considered in this study are slope, land use, geology, landslide susceptibility, distance from faults, distance from protected areas, distance from surface water sources, distance from roads, and distance from residential areas. Parame¬ ters are normalized using fuzzy membership func¬ tions in the ArcGIS 10.5 software. Moreover, suita¬ ble locations for solid waste landfill are determined using the fuzzy overlay function. As a result of the assessments, 99.18% of the study area was found to be unsuitable for landfill site, 0.33% was slightly suitable, 0.38% was moderately suitable, and only 0.11% was highly suitable. © 2020 Parlar Scientific Publications. All rights reserved.