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Model framework to quantify the effectiveness of garbage classification in reducing dioxin emissions.

Lantian Zhang1, Guorui Liu2, Sumei Li3

  • 1State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; Beijing University of Technology, Beijing 100124, China.

The Science of the Total Environment
|November 29, 2021
PubMed
Summary

Garbage classification before waste incineration is crucial for reducing toxic dioxin emissions. Implementing strict classification could cut annual dioxin emissions by 30.7% over the next decade.

Keywords:
Autoregressive prediction modelDioxin emissionGarbage classificationGrey prediction modelWaste incineration

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Area of Science:

  • Environmental Science
  • Chemical Engineering
  • Pollution Control

Background:

  • Waste incineration generates toxic by-products like dioxins.
  • Incomplete combustion, especially from kitchen scraps in small incinerators, accelerates dioxin formation.
  • Effective dioxin control is needed for small-scale waste incineration.

Purpose of the Study:

  • To quantify the impact of garbage classification on dioxin emissions from small-sized waste incineration.
  • To establish a predictive model for future dioxin emissions based on waste management strategies.

Main Methods:

  • Developed a model framework integrating grey prediction and autoregressive prediction models.
  • Simulated dioxin emissions under scenarios with and without garbage classification.
  • Quantified potential reductions in dioxin emissions (TEQ - toxic equivalents) over a 10-year period.

Main Results:

  • Strict garbage classification could reduce annual dioxin emissions by up to 1697 g TEQ over 10 years.
  • Garbage classification demonstrated a 30.7% reduction in emissions compared to mixed waste incineration (5534 g TEQ over 10 years).

Conclusions:

  • Garbage classification is a critical strategy for mitigating dioxin emissions in small-scale waste incineration.
  • The developed model effectively assesses the influence of waste management practices on dioxin pollution.
  • Findings support the widespread adoption of garbage classification for environmental protection.