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Related Experiment Video

Updated: Dec 25, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Analytical framework and data for a municipal solid waste environmental performance assessment.

Rafael M Deus1, Fernando D Mele2, Barbara S Bezerra1

  • 1São Paulo State University (UNESP), School of Engineering, Bauru, SP, Brazil.

Data in Brief
|April 1, 2020
PubMed
Summary
This summary is machine-generated.

This study presents municipal solid waste (MSW) data and performance indicators for Brazilian municipalities. The findings aid in assessing environmental impact and identifying best practices for sustainable waste management.

Keywords:
Carbon dioxide equivalentEnvironmental analysisIndicatorsStrategic waste management

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Area of Science:

  • Environmental Science
  • Waste Management Science

Background:

  • Municipal solid waste (MSW) management is crucial for environmental protection.
  • Assessing performance indicators is key to identifying best practices in waste management.

Purpose of the Study:

  • To provide a comprehensive dataset of municipal solid waste generation and performance indicators for Brazilian municipalities.
  • To facilitate the assessment of environmental impact and the identification of best management practices in solid waste handling.

Main Methods:

  • Compilation of data from municipal sanitation or solid waste plans.
  • Calculation and presentation of individual and aggregate performance indicators for solid waste management.
  • Statistical analysis including data correlation and graphical representation (boxplots, per capita graphs).

Main Results:

  • Detailed spreadsheets containing MSW generation data for Brazilian municipalities.
  • Individual and aggregate performance indicators, along with municipality classifications.
  • Data correlation, boxplots, and per capita indicator graphs for in-depth analysis.

Conclusions:

  • The provided data and indicators serve as a valuable resource for evaluating municipal solid waste management performance.
  • The dataset supports the identification of best practices and areas for improvement in environmental impact mitigation related to solid waste.