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[Characteristics and Parameterization for Atmospheric Extinction Coefficient in Beijing].

Yi-na Chen, Pu-sheng Zhao, Di He

    Huan Jing Ke Xue= Huanjing Kexue
    |February 5, 2016
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    Atmospheric extinction in Beijing is primarily caused by aerosol scattering, significantly amplified by humidity in summer and autumn. New models link aerosol properties and humidity to seasonal extinction variations.

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    Area of Science:

    • Atmospheric science
    • Environmental science
    • Aerosol science

    Background:

    • Atmospheric extinction coefficient significantly impacts visibility and air quality.
    • Understanding aerosol light scattering and its influencing factors is crucial for atmospheric studies.

    Purpose of the Study:

    • To investigate the characteristics of atmospheric extinction coefficient in Beijing.
    • To establish parameterization models for atmospheric extinction coefficient based on seasonal and pollution levels.
    • To analyze the influence of aerosol properties and relative humidity on light extinction.

    Main Methods:

    • Systematic measurements of atmospheric visibility, PM2.5 concentration, scattering coefficient, black carbon, reactive gases, and meteorological parameters from 2013 to 2014.
    • Comparison of published fitting schemes for aerosol light scattering enhancement factor [f(RH)].
    • Development of parameterization models for atmospheric extinction coefficient.

    Main Results:

    • Aerosol scattering constitutes over 94% of total light extinction.
    • High relative humidity in summer and autumn increases aerosol scattering coefficient by 70-80% due to hygroscopic growth.
    • Established parameterization models effectively represent the impact of aerosols and humidity on light extinction.

    Conclusions:

    • Aerosol properties and relative humidity are key drivers of atmospheric extinction in Beijing.
    • The developed models accurately describe seasonal variations in aerosol light extinction ability.
    • Findings contribute to a better understanding of atmospheric optical properties and air quality management.