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Methodology to design a municipal solid waste generation and composition map: a case study
A Gallardo1, M Carlos1, M Peris1
1Dept. Mechanical Engineering and Construction, Jaume I University, Av. de Vicent Sos Baynat s/n, 12071 Castelló de la Plana, Spain.
This study presents a structured methodology for municipal solid waste (MSW) management planning. It combines data analysis with Geographic Information Systems (GIS) to create thematic maps for efficient waste management decisions.
Area of Science:
- Environmental Science and Engineering
- Urban Planning
- Geographic Information Systems (GIS)
Background:
- Effective municipal solid waste (MSW) management is crucial for public health, environmental protection, and resource preservation.
- Waste generation and composition patterns are influenced by socio-economic factors and vary geographically and temporally.
- Lack of organized data hinders efficient MSW management planning.
Purpose of the Study:
- To present a structured methodology for designing municipal solid waste (MSW) management plans tailored to available data.
- To provide a framework for local authorities and private companies to develop their own MSW management strategies.
- To integrate Geographic Information Systems (GIS) for visualizing and interpreting waste data.
Main Methods:
- Developed a structured methodology for MSW management planning.
- Proposed two approaches: a direct method for detailed data and an indirect method using bibliographic data.
- Integrated Geographic Information Systems (GIS) to generate thematic maps for data visualization.
Main Results:
- The methodology successfully organizes waste generation and composition data.
- Thematic maps generated using GIS enhance the interpretability of waste data.
- The approach was successfully applied to a Spanish town, demonstrating its practical utility.
Conclusions:
- The proposed methodology provides a valuable tool for municipal solid waste (MSW) management planning.
- GIS integration facilitates efficient decision-making in waste management, including route optimization and selective collection.
- The structured approach supports tailored MSW management plans based on data availability.
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