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Impact of Fine Particulate Matter on Visibility Impairment at Incheon Airport, South Korea

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DOI: 10.4209/aaqr.2019.03.0106
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To cite this article:
Won, W.S., Oh, R., Lee, W., Kim, K.Y., Ku, S., Su, P.C. and Yoon, Y.J. (2020). Impact of Fine Particulate Matter on Visibility Impairment at Incheon Airport, South Korea. Aerosol Air Qual. Res., doi: 10.4209/aaqr.2019.03.0106.

Wan-Sik Won1, Rosy Oh2, Woojoo Lee3, Ki-Young Kim4, Sungkwan Ku5, Pei-Chen Su1, Yong-Jin Yoon 1,6

  • 1 School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
  • 2 Department of Statistics, Ewha Womans University, Seoul 03760, Korea
  • 3 Department of Statistics, Inha University, Incheon 22212, Korea
  • 4 4D Solution Co., Ltd., Seoul 08511, Korea
  • 5 Department of Aviation Industrial and System Engineering, Hanseo University, Chungcheongnam-do 32158, Korea
  • 6 Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea

Highlights

  • Both PM10 and PM2.5 are taken into account to predict visibility.
  • Censored regression model is successfully applied to airport visibility.
  • PM2.5 impact on visibility is quantitatively estimated at Incheon airport.

Abstract

Low visibility at the airport causes significant weather delays and reduces the capacity of the airport. To better understand the factors that determine airport visibility, the present study examines the visibility at Incheon Airport, South Korea, and its relationship with meteorological conditions as well as particulate matter (PM) concentrations. Both PM10 and PM2.5 concentrations are considered for the analyzed period of 2015-2017. The censored regression model reveals that airport visibility is significantly correlated with PM2.5 concentration rather than PM10 concentration and provides capability to quantitatively describe the changes of airport visibility. Specifically, the interactions between PM2.5 concentration and meteorological conditions, such as fog, haze, high temperature, low relative humidity, and weak wind speed, primarily determine visibility degradation. The verification of this regression model for the severe fog event in March 2018 further shows that PM10 and PM2.5 concentrations contribute to the visibility impairment by approximately -8.0 km (-3.2 km by PM10 and -4.8 km by PM2.5) in hazy conditions at Incheon Airport. These results indicate that the PM2.5 concentration and interactions of meteorological conditions with PM need to be taken into account when diagnosing and predicting visibility impairment.

Keywords

Particulate matter Visibility Airport Fog Censored regression


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