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[Urban Ozone Driving Factors Based on Explainable Machine Learning].

Chao-Long Wang1, Lian Xue2, Yi-Sheng Zhang1

  • 1School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266525, China.

Huan Jing Ke Xue= Huanjing Kexue
|May 20, 2025
PubMed
Summary
This summary is machine-generated.

Meteorological factors significantly drive ozone (O3) pollution in Qingdao, contributing 67.7% to its formation. Pollutant emissions account for 32.3%, with solar radiation, temperature, and humidity playing key roles.

Keywords:
QingdaoSHAP moduledriving factorsmachine learningozone （O3）

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Area of Science:

  • Atmospheric Chemistry
  • Environmental Science
  • Data Science

Context:

  • Ozone (O3) pollution is a significant environmental concern in urban areas.
  • Understanding the drivers of O3 formation is crucial for effective air quality management.
  • Qingdao, a coastal city, experiences complex interactions between meteorological conditions and pollutant emissions impacting O3 levels.

Purpose:

  • To investigate the impact of meteorological elements and atmospheric pollutant emissions on ozone (O3) pollution in Qingdao.
  • To quantify the contributions of meteorological factors versus emissions to O3 formation.
  • To identify key meteorological and emission variables influencing O3 concentrations across different locations and seasons.

Summary:

  • Meteorological factors contributed 67.7% to O3 formation from 2019-2023, while emissions accounted for 32.3%.
  • Surface solar radiation, temperature, relative humidity, and boundary layer height were identified as significant meteorological drivers.
  • NO2 and PM2.5 emissions also influenced O3 concentrations, with varying impacts across different areas and seasons. Surface solar radiation and NO2 were primary drivers on days exceeding O3 standards.

Impact:

  • Provides a quantitative understanding of O3 pollution drivers in Qingdao, aiding targeted air quality control strategies.
  • Highlights the dominant role of meteorological factors, emphasizing the need for climate-informed pollution management.
  • Reveals spatial and seasonal variations in O3 formation factors, enabling localized and time-specific interventions.