Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Calculations of Surface PM2.5 Concentrations Using Data from Ceilometer Backscatters and Meteorological Variables

운고계 후방산란 강도와 기상변수 자료를 이용한 지표면 PM2.5 농도 계산

  • Jung, Heejung (BK21 School of Earth and Environmental Systems, Division of Earth Environmental System, Atmospheric Sciences Major, Pusan National University) ;
  • Um, Junshik (Department of Atmospheric Sciences, Pusan National University)
  • 정희정 (부산대학교 BK21 지구환경시스템 교육연구단, 지구환경시스템학부 대기과학전공) ;
  • 엄준식 (부산대학교 대기환경과학과)
  • Received : 2021.12.15
  • Accepted : 2022.01.03
  • Published : 2022.01.31
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Abstract

In this study, surface particulate matter (PM2.5) concentrations were calculated based on empirical equations using measurements of ceilometer backscatter intensities and meteorological variables taken over 19 months. To quantify the importance of meteorological conditions on the calculations of surface PM2.5 concentrations, eight different meteorological conditions were considered. For each meteorological condition, the optimal upper limit height for an integration of ceilometer backscatter intensity and coefficients for the empirical equations were determined using cross-validation processes with and without considering meteorological variables. The results showed that the optimal upper limit heights and coefficients depended heavily on the meteorological conditions, which, in turn, exhibited extensive impacts on the estimated surface PM2.5 concentrations. A comparison with the measurements of surface PM2.5 concentrations showed that the calculated surface PM2.5 concentrations exhibited better results (i.e., higher correlation coefficient and lower root mean square error) when considering meteorological variables for all eight meteorological conditions. Furthermore, applying optimal upper limit heights for different weather conditions revealed better results compared with a constant upper limit height (e.g., 150 m) that was used in previous studies. The impacts of vertical distributions of ceilometer backscatter intensities on the calculations of surface PM2.5 concentrations were also examined.

Keywords

Acknowledgement

이 과제는 부산대학교 기본연구지원사업(2년)에 의하여 연구되었음.

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