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PM10 연속자동측정기(β-ray) 등가성평가 및 비교관측 연구

PM10 β-ray attenuation samplers (β-ray absorption method) equivalence evaluation and comparatively observed study

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초록

The Asian dust observation network operates β-ray attenuation samplers to measure PM10 concentrations. In addition, equivalence evaluation and accuracy inspection(Precision Tests) are conducted every year for the reliability of data. β-ray attenuation samplers(16 units) were comparatively observed from May to June 2020 and from July to December 2021. During the observation period, the average daily temperature was the lowest at 6.4℃ in December and the highest at 27.3℃ in August. The average daily humidity ranged from 60% to 100%, but the average daily humidity was over 75% from July to September. The minimum value of the PM10 Gravimetric method was 5.0 μg/m3, the maximum value was 53.4 μg/m3, and the average value was 17.8 μg/m3. The equivalence evaluation results of the PM10 Gravimetric method and β-ray attenuation samplers satisfied the criteria (slope: 1±0.1, intercept: 0±0.5). A relative error analysis between the PM10 Gravimetric method and β-ray attenuation samplers equipment showed that the relative error increased when the concentration was low and the temperature and humidity were high. In addition, in the β-ray attenuation samplers 5-minute interval observation data in May 2020, a relatively large Standard devication was shown as an average maximum ±23.4 μg/m3 and a minimum ±15.2 μg/m3. At standard deviations of 10% and 90%, equipment with high variability (deviation) was measured at 6 μg/m3and 61 μg/m3, and equipment with low variability was measured at 12 μg/m3 and 47 μg/m3. It was confirmed that concentration differences occurred due to differences in variability for each equipment.

Abstract

The Asian dust observation network operates β-ray attenuation samplers to measure PM10 concentrations. In addition, equivalence evaluation and accuracy inspection(Precision Tests) are conducted every year for the reliability of data. β-ray attenuation samplers(16 units) were comparatively observed from May to June 2020 and from July to December 2021. During the observation period, the average daily temperature was the lowest at 6.4℃ in December and the highest at 27.3℃ in August. The average daily humidity ranged from 60% to 100%, but the average daily humidity was over 75% from July to September. The minimum value of the PM10 Gravimetric method was 5.0 μg/m3, the maximum value was 53.4 μg/m3, and the average value was 17.8 μg/m3. The equivalence evaluation results of the PM10 Gravimetric method and β-ray attenuation samplers satisfied the criteria (slope: 1±0.1, intercept: 0±0.5). A relative error analysis between the PM10 Gravimetric method and β-ray attenuation samplers equipment showed that the relative error increased when the concentration was low and the temperature and humidity were high. In addition, in the β-ray attenuation samplers 5-minute interval observation data in May 2020, a relatively large Standard devication was shown as an average maximum ±23.4 μg/m3 and a minimum ±15.2 μg/m3. At standard deviations of 10% and 90%, equipment with high variability (deviation) was measured at 6 μg/m3and 61 μg/m3, and equipment with low variability was measured at 12 μg/m3 and 47 μg/m3. It was confirmed that concentration differences occurred due to differences in variability for each equipment.

참고문헌 (19)

  1. Chang, C. T., "A model for the relative humidity effect on the readings of the PM-10 beta gauge monitor", Journal of aerosol science, 34, pp.1685~1697 (2003)[DOI]
  2. Chang, C. T., "Differences in PM-10 concentrations measured by beta gauge monitor and high-vol sampler", Atmospheric Environment, 35, pp.5741~5748 (2001)[DOI]
  3. 최훈, "베타선 흡수법을 이용하는 미세먼지 측정시스템을 위한 잡음제거 방법", 전기학회논문지, 61(11), pp.1706~1712 (2012), 대한전기학회[DOI]
  4. Eguchi, K., "Trans-pacific dust transport : integrated analysis of NASA", CALIPSO and a global aer-osol transport model, 2009, pp.9, 3137~3145
  5. Environmental Protection Agency ; EPA, "Interpretation of the National Ambient Air Quality Standards for Particulate Matter", EPA 40 CFR Appendix K to Part 50, ~ (2001)
  6. Goudie, A. S., "Desert dust and human health dis-orders", Environment international, 63, pp.101~113 (2014)[DOI]
  7. 정창훈, "습도 변화에 따른 에어로졸의 농도 및 크기의 변화경향 파악", PARTICLE AND AEROSOL RESEARCH, 9(2), pp.69~78 (2013), 한국입자에어로졸학회[DOI]
  8. Kim, J., "Transport routes and source regions of Asian dust observed in Korea during the past 40 years (1965~2004)", Atmospheric Environment, 42, pp.4778~4789 (2008)[DOI]
  9. 김미경, "부유분진(PM10) 측정기 상태 코드 분석을 통한 자동 품질검사 알고리즘 개선 및 평가", 대기, 29(4), pp.501~509 (2019), 한국기상학회[DOI]
  10. Lee S. D., "The Characteristics of the Air Pollutants Distribution and Concentration at the Baengnyeong Island", National Institute of Environmental Research, 16(1), pp.25~33 (2010)
  11. Lee, H., "Effect of Asian dust storms on daily mortality in seven metropolitan cities of Korea", Atmospheric environment, 79, pp.510~517 (2013)[DOI]
  12. Quality control of air pollution monitoring system and establishment of data evalu- ation scheme(Ⅰ), "National Institute of Environmental Research (NIER)", Korean Air Pollutants Emission Service, ~ (2015)
  13. 박미경, "PM2.5 자동측정장비 비교 및 정도관리 방안", 한국대기환경학회지, 33(6), pp.616~625 (2017), 한국대기환경학회[DOI]
  14. Shin, S. E., "Estimation of the optimal heated inlet air temperature for the beta-ray absorption method: analysis of the PM10 concentration difference by different methods in coastal areas", Advances in Environmental Research, 1(1), pp.69~82 (2012)[DOI]
  15. 신소은, "제주도 고산 측정소의 미세먼지 측정방법에 따른 질량농도 비교", 환경영향평가, 19(4), pp.421~429 (2010), 한국환경영향평가학회
  16. 송상근, "2002년 11월에 관측된 가을황사의 사례분석", Asia-Pacific Journal of Atmospheric Sciences, 41(5), pp.707~715 (2005), 한국기상학회
  17. 송상근, "Meteorogical Mechanisms Associated with Long-range Transport of Asian Dust Observed at the West Coast of North America in April 2001", Journal of Korean Society for Atmospheric Environment, 20(E1), pp.1~14 (2004), 한국대기환경학회
  18. Yoon, J. E., "Spring 2018 Asian Dust Events:Sources, Transportation, and Potential Biogeochemical Implications", Atmosphere, 10, pp.276~293 (2019)[DOI]
  19. Yu, Y., "Climatology of Asian dust activa-tion and transport potential based on MISR sat-ellite observations and trajectory analysis", Atmospheric Chemistry and Physics, 19, pp.363~378 (2019)[DOI]

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