Optimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran

Seyed Mohsen Mousavi, Golnaz Darvishi, Naghmeh Mobarghaee Dinan and Seyed Amir Naghibi ()
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Golnaz Darvishi: Department of Environmental Planning and Design, Shahid Beheshti University, Tehran 1983969411, Iran
Naghmeh Mobarghaee Dinan: Department of Environmental Planning and Design, Shahid Beheshti University, Tehran 1983969411, Iran
Seyed Amir Naghibi: Department of Water Resources Engineering & Center for Advanced Middle Eastern Studies, Lund University, SE 221 00 Lund, Sweden

Land, 2022, vol. 11, issue 10, 1-19

Abstract: In recent decades, population increase and urban development have led to catastrophic environmental consequences. One of the principal objectives to achieve “sustainable development” is to find suitable landfills. Due to their physical characteristics, which have led to a lack of landfill sites and closeness to water bodies, agricultural fields, and residential areas, the cities of Javanrood, Paveh, and Ravansar were chosen as the necessary research regions. On the other hand, these landfills are unable to accommodate the growing urban population. Therefore, this study attempts to develop a framework for spotting the most suitable sites for landfill construction with these three cities as case studies. For this, 10 important driving factors (9 factors and 1 constraint) in landfill site selection were generated. Second, for the fuzzy membership function, the analytic hierarchy process (AHP) method was employed for the standardization of criteria and determining the weight of the driving factors. Then, the Boolean, weighted linear combination (WLC) and ordered weighted average (OWA) methods were utilized to spot optimal sites for landfills. Finally, two suitable sites were found for landfills: site (a) was obtained from the WLC, and site (b) was obtained from OWA-low risk some trade-off (LRST) methods. Our results proved the high efficiency of multi-criteria decision-making methodology for landfill site selection.

Keywords: landfill site selection; geographic information system; solid waste; AHP; fuzzy membership (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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