Alternative suitable landfill site selection using analytic hierarchy process and geographic information systems: a case study in Istanbul


Güler D., Yomralıoğlu T.

Environmental Earth Sciences, cilt.76, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 76
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1007/s12665-017-7039-1
  • Dergi Adı: Environmental Earth Sciences
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: Geographic information systems, Multi-criteria decision making, Analytic hierarchy process, Landfill siting, MULTICRITERIA EVALUATION TECHNIQUES, SITING MSW LANDFILLS, SOLID-WASTE LANDFILL, COMBINING AHP, SUITABILITY ANALYSIS, SYNTHETIC EVALUATION, FUZZY-LOGIC, GIS, TURKEY, METHODOLOGY
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Solid waste management is an important environmental event for developed and developing countries. One of the most sensitive issues in waste management is the selection of a suitable location for the landfill site. This paper presents geographic information systems and analytic hierarchy process approach for selecting the alternative for landfill site selection in Istanbul, Turkey. Totally, eleven factors were used, and two main classification groups were set up in the study which is environmental and economic. Environmental factors are land use, geology, settlement areas, surface waters, population density, airports, and protected areas. Economic factors are slope, solid waste transfer stations, land values, and highways. The identified factors are separated by sub-criteria according to the appropriateness of solid waste landfill. One of the studies that has been made is the discussion of the creation of a dynamic model for the location selection of the solid waste dumping site. In light of legal restrictions, 80% of the study area is classified as unauthorized area. As a result of the study, 1% of the region is unsuitable, 4% is less suitable, 13% is suitable and 2% is very suitable and the digital map bases leading the decision makers were created.