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A Study on How to Improve the Accuracy of Automatic Micro Dust Measurement Equipment

미세먼지 자동측정장비의 정확도 향상 방안 연구

  • Cho, Min-cheol (Health and Environment Research Institute of Gwang-Ju) ;
  • Kim, Seung-Ho (Health and Environment Research Institute of Gwang-Ju) ;
  • Na, Hye-Yun (Health and Environment Research Institute of Gwang-Ju) ;
  • Kim, Nan-Hee (Health and Environment Research Institute of Gwang-Ju) ;
  • Cho, Gwang-un (Health and Environment Research Institute of Gwang-Ju) ;
  • Bae, Seok-Jin (Health and Environment Research Institute of Gwang-Ju) ;
  • Lee, Se-Haeng (Health and Environment Research Institute of Gwang-Ju)
  • 조민철 (광주광역시 보건환경연구원) ;
  • 김승호 (광주광역시 보건환경연구원) ;
  • 나혜윤 (광주광역시 보건환경연구원) ;
  • 김난희 (광주광역시 보건환경연구원) ;
  • 조광운 (광주광역시 보건환경연구원) ;
  • 배석진 (광주광역시 보건환경연구원) ;
  • 이세행 (광주광역시 보건환경연구원)
  • Received : 2022.03.30
  • Accepted : 2022.04.29
  • Published : 2022.05.31

Abstract

This study was conducted to propose a way to increase the accuracy and precision of 𝛽-ray measurement equipment. Statistical processing results of equivalent evaluation data from 2016 to 2021 confirmed that the concentration of micro dust measured by 𝛽-ray measurement equipment was higher than that of micro dust sampler. According to quarterly data, it was confirmed that the data from the third quarter (July to September) showed a different trend from other periods, which is assumed to be due to weather conditions. This study indicates that automatic micro-dust measurement equipment evaluation at air pollution measuring stations during the third quarter should be excluded. The evaluation cycle should be changed from once every two years to quarterly. In addition, when the criterion for determining equivalence evaluation falls within the range of the slope and intercept values of the existing trend line, it is necessary to evaluate the R2 value together and reduce the slope from 0.9-1.1 to 0.9-1.0.

Keywords

Acknowledgement

이 연구는 2021년 환경부 환경분야 시험검사의 국제적 적합성 기반구축사업과 광주광역시보건환경연구원 연구역량강화 사업의 지원으로 수행하였습니다.

References

  1. Dockery, D. W., Pope, C. A., 1994, Acute respiratory effects of particulate air pollution, Annual Review of Public Health 2015, 107-132. https://doi.org/10.1146/annurev.pu.15.050194.000543
  2. Ghim, Y. S., 2017, Comparison of PM2.5 concentrations by measurement method, J. Korean Soc. Atmos. Environ., 33, 515-520. https://doi.org/10.5572/KOSAE.2017.33.5.515
  3. Hauck, H., Berner, A., Gomiscek, B., Stopper, S., Puxbaum, H., Kundi, M., Preining, O., 2004, On the equivalence of gravimetric PM data with TEOM and beta attenuation measurements, J. Aerosol. Sci., 35, 1135-1149. https://doi.org/10.1016/j.jaerosci.2004.04.004
  4. IARC (WHO), 2013, Air pollution and cancer, IARC Publication No 161, 978-92-832-2166-1, Lyon, France.
  5. Jung, C. H., Park, J. H., Hwang, S. M., 2010, Analysis of measurement error for PM-2.5 mass concentration by inter-comparison study, Journal of environmental impact assessment, 19, 431-441.
  6. Jung, C. H., 2020, Improvement of the PM10/PM2.5 equivalent test, 11-1480523-004128-01, NIER, Incheon, Korea.
  7. McMurry, P. H., Shepherd, M. F., Vickery, J. S., 2004, Particulate Matter Science for Policy Makers: A Narsto Assessment, Cambridge University Press, Cambridge, England, 109-112.
  8. National Institute of Environmental Research, 2022, Guidelines for installation and operation of the air environment measuring network, 11-1480523-004654-01, NIER, Incheon, Korea.
  9. National Institute of Environmental Research, 2014, PM2.5 National reference methods assessment(I), 11-1480 523-002023-01, Incheon, Korea.
  10. National Institute of Environmental Research, 2014, PM2.5 National reference methods assessment(II), 11-1480 523-002119-01, Incheon, Korea.
  11. Park, M. K., 2017, Comparison of real-time measurements for PM2.5 and quality control method, J. Korean Soc. Atmos. Environ., 33, 616-625. https://doi.org/10.5572/KOSAE.2017.33.6.616
  12. Peters, T. M., 2001, Field performance of PM2.5 federal reference method samples, Aerosol. Sci. Technol., 34, 433-443. https://doi.org/10.1080/02786820116873
  13. U. S. Environmental Protection Agency, 2012, APTI Course 435, Atmospheric Sampling, 978-1249432845, EPA, Washington, USA.
  14. Yoo, H. G., 2020, Impact of meteorological conditions on the PM2.5 and PM10 concentrations in Seoul, J. Climate Change Res., 11, 521-528. https://doi.org/10.15531/KSCCR.2020.11.5.521