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Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System
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Fine Particulate Matter (PM2.5) Sources and Its Individual Contribution Estimation Using a Positive Matrix

Gahye Lee1, Minkyeong Kim2, Duckshin Park2

  • 1Seohaean Research Institute, Chung Nam Institute, Hongseong 32227, Republic of Korea.

Toxics
|January 20, 2023
PubMed
Summary

High fine particulate matter (PM2.5) in South Korea necessitates source identification. A positive matrix factorization model identified secondary aerosols and motor vehicle exhaust as major contributors, guiding effective pollution control strategies.

Keywords:
PM2.5conditional probability functionpositive matrix factorizationreceptor method

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Area of Science:

  • Environmental Science
  • Atmospheric Chemistry
  • Air Quality Management

Background:

  • High concentrations of fine particulate matter (PM2.5) in the Republic of Korea pose significant public health risks.
  • Effective management requires accurate identification and quantification of PM2.5 pollution sources, considering spatiotemporal variations.

Purpose of the Study:

  • To identify and quantify the sources contributing to PM2.5 pollution in Bucheon City, Gyeonggi Province.
  • To apply a positive matrix factorization (PMF) model to estimate the contribution of various sources to the PM2.5 mix.

Main Methods:

  • PM2.5 concentrations and chemical composition were measured using PMS-104 instruments.
  • A positive matrix factorization (PMF) model was employed to analyze source contributions.
  • Conditional probability function plots were used to infer source locations.

Main Results:

  • The PMF model identified key sources including secondary aerosols (5.73 μg/m³), coal-fired boilers (3.11 μg/m³), and motor vehicle exhaust (1.94 μg/m³).
  • The model achieved a high coefficient of determination (R² = 0.87), indicating reliability.
  • Pollutants primarily originated from areas with concentrated PM2.5-emitting facilities and highways.

Conclusions:

  • Motor vehicle exhaust is a leading source of anthropogenic PM2.5, necessitating targeted control measures.
  • Prioritizing regulation and management of high-contribution pollution sources is crucial for improving air quality.