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Source apportionment of visibility impairment using a three-dimensional source-oriented air quality model.

Qi Ying1, Mitchell Mysliwiec, Michael J Kleeman

  • 1Department of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, California 95616, USA.

Environmental Science & Technology
|March 5, 2004
PubMed
Summary

A new air quality model quantifies pollution sources impacting visibility. Transportation emissions, particularly from diesel engines, are major contributors to reduced visibility in Southern California.

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Area of Science:

  • Atmospheric chemistry and physics
  • Air quality modeling
  • Environmental science

Background:

  • Visibility reduction is a significant environmental concern, particularly in urban areas.
  • Identifying specific pollution sources is crucial for effective air quality management.
  • Existing models may not fully capture source-specific contributions to visibility impairment.

Purpose of the Study:

  • To develop and apply a three-dimensional source-oriented Eulerian air quality model.
  • To predict source contributions to visibility reduction.
  • To quantify the impact of various emission sources on visibility in Southern California.

Main Methods:

  • Developed a source-oriented Eulerian air quality model.
  • Incorporated particulate matter and precursor gases from 14 distinct sources.

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  • Utilized a modified Mie theory-based visibility model to link source contributions to impairment.

    • Main Results:

    • The model accurately predicted visibility levels in Southern California, with severe reduction in the east and clear conditions on the coast.
    • Transportation sources (diesel, gasoline engines, road dust) accounted for approximately 50% of visibility reduction in impaired areas.
    • Ammonia emissions from animal sources contributed approximately 10-15% to visibility reduction.

    Conclusions:

    • The developed model effectively links specific emission sources to visibility reduction.
    • Transportation and animal agriculture are significant contributors to poor visibility in Southern California.
    • The findings provide valuable data for targeted air quality improvement strategies.