Abstract

The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods.

Highlights

  • Rapid urbanization and population growth have posed serious challenges to the sustainable development of cities, which have led to environmental pollution and a dramatic increase in the generation of waste [1]

  • This study identified 21 criteria in five groups through the Delphi method at 30 m resolution and proposed to integrate Decision-Making Trial and Evaluation Laboratory (DEMATEL)-ANP and GIS technology in different fuzzy logic environments to resolve the landfill site selection problem while ensuring the certainty of the optimal decision

  • The overall objective of this study was to identify the most suitable site for Municipal Solid Waste (MSW) landfill by employing a decision support framework based on Multi-Criteria Decision-Making (MCDM), and to promote Municipal Solid Waste Management (MSWM) and sustainable urban development in response to regional characteristics, environmental management, and land-use planning of the study area

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Summary

Introduction

Rapid urbanization and population growth have posed serious challenges to the sustainable development of cities, which have led to environmental pollution and a dramatic increase in the generation of waste [1]. Global Municipal Solid Waste (MSW) generation has increased from 0.68 billion tons per year (0.64 kg of MSW per person per day) to 1.3 billion tons per year (1.2 kg per person per day), which is likely to reach 2.2 billion tons per year by 2025 [2]. The disposal of immense volumes of MSW has become a matter of great concern for urban planners and environmental managers on a global scale [4]. The selection of suitable sites for landfills is considered a complex and urgent task in Municipal Solid Waste Management (MSWM) [7]

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