MULTI-FACTOR GIS MODELING FOR SOLID WASTE DUMPSITE SELECTION IN BOUMEDFAA, ALGERIA

Abstract

The integration of the Analytic Hierarchy Process (AHP) with Geographic Information Systems (GIS) presents a powerful framework for improving waste management practices. AHP serves as a structured decision-making tool that enables stakeholders to prioritize and evaluate various alternatives based on multiple criteria, while GIS enhances this process by providing spatial analysis capabilities that allow for the visualization and examination of geographic data. This combination is particularly relevant in the context of waste management, where decisions often involve complex trade-offs among environmental, economic, and social factors. The primary aim of this study is to investigate the synergistic integration of AHP and GIS within the realm of waste management. Specifically, the research focuses on three critical areas: assessing various waste disposal methods, selecting optimal sites for landfills, and optimizing waste collection routes. By leveraging the strengths of both methodologies, the study seeks to enhance decision-making processes in waste management. The methodology involves breaking down complex decision-making scenarios into a hierarchical structure of criteria and sub-criteria. This structured approach allows stakeholders to systematically compare different options based on a range of factors, including environmental impact, cost-effectiveness, community acceptance, and logistical feasibility. GIS complements the AHP framework by providing essential spatial data that reveals patterns and relationships in waste generation and disposal, facilitating a more comprehensive analysis. The integration of AHP and GIS empowers decision-makers to visualize the potential implications of their choices more effectively. For example, GIS can be utilized to map waste generation hotspots, identify suitable location s for waste management facilities, and analyze transportation routes for their efficiency and effectiveness. This visualization aids in understanding the spatial dynamics of waste management and supports more informed decision-making. Overall, the synergy between AHP and GIS significantly enhances the effectiveness of waste management strategies. This integrated approach not only leads to more sustainable waste management practices but also improves resource allocation and fosters better community engagement in waste management initiatives. By supporting informed, data-driven decision-making, the combination of AHP and GIS ultimately contributes to the development of more efficient and environmentally friendly waste management solutions. The findings of this study underscore the importance of utilizing advanced analytical tools in addressing the multifaceted challenges of waste management, paving the way for innovative and sustainable practices in the field.