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Methodology to design a municipal solid waste generation and composition map: a case study.

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  • 1Dept. Mechanical Engineering and Construction, Jaume I University, Av. de Vicent Sos Baynat s/n, 12071 Castelló de la Plana, Spain.

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This summary is machine-generated.

This study presents a methodology for municipal solid waste (MSW) management planning, using Geographic Information Systems (GIS) to create thematic maps for efficient decision-making in waste collection and treatment.

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Area of Science:

  • Environmental Science
  • Urban Planning
  • Waste Management

Background:

  • Effective municipal solid waste (MSW) management is crucial for public health, environmental protection, and resource conservation.
  • Waste generation and composition patterns are influenced by socio-economic factors and vary geographically and temporally.
  • Data heterogeneity across urban areas necessitates structured approaches for MSW planning.

Purpose of the Study:

  • To present a structured methodology for designing municipal solid waste (MSW) management plans.
  • To provide guidance for local authorities and private companies in developing tailored MSW strategies.
  • To integrate Geographic Information Systems (GIS) for enhanced visualization and interpretation of 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.
  • Combined planning methodology with Geographic Information Systems (GIS) for data visualization.

Main Results:

  • The methodology facilitates the organization of MSW collection routes, including selective collection.
  • The use of thematic maps derived from GIS aids in efficient interpretation of waste data.
  • The approach was successfully applied to a case study in a Spanish town.

Conclusions:

  • The proposed methodology offers a valuable tool for local authorities and private entities in MSW management.
  • Integrating GIS with waste management planning enhances decision-making efficiency.
  • The structured approach supports the development of effective and adaptable MSW management plans.