지하역사 내 미세먼지 실시간 모니터링을 위한 광산란법 보정 (Compensation of Light Scattering Method for Real-Time Monitoring of Particulate Matters in Subway Stations)

서지정보

· 발행기관 : 한국대기환경학회
· 수록지 정보 : 한국대기환경학회지 / 26권 / 5호 / 533 ~ 542페이지
· 저자명 : 김서진, 강호성, 손윤석, 윤상렬, 김조천, 김규식, 김인원

초록

The PM10 concentrations in the underground should be monitored for the health of commuters on the underground subway system. Seoul Metro and Seoul Metropolitan Rapid Transit Corporation are measuring several air pollutants regularly. As for the measurement of PM10 concentrations, instruments based on β-ray absorption method and gravimetric methods are being used. But the instruments using gravimetric method give us 20-hour-average data and the β-ray instruments can measure the PM10 concentration every one hour. In order to keep the PM10 concentrations under a healthy condition, the air quality of the underground platform and tunnels should be monitored and controlled continuously. The PM10 instruments using light scattering method can measure the PM10 concentrations every less than one minute. However, the reliability of the instruments using light scattering method is still not proved.
The purpose of this work is to study the reliability of the instruments using light scattering method to measure the PM10 concentrations continuously in the underground platforms. One instrument using β-ray absorption method and two different instruments using light scattering method (LSM1, LSM2) were placed at the platform of the Jegi station of Seoul metro line Number 1 for 10 days. The correlation between the β-ray instrument and the LSM2 (r2=0.732)was higher than that between the β-ray instrument and the LSM1 (r2=0.393). Thus the LSM2 was chosen for further analysis. Three different regression analysis methods were tested: Linear regression analysis, Nonlinear regression analysis and Orthogonal regression analysis. When the instruments using light scattering method were used, the data measured these instruments have to be converted to actual PM10 concentrations using some factors. With these analyses,the factors could be calculated successfully as linear and nonlinear forms with respect to the data. And the orthogonal regression analysis was performed better than the ordinary least squares method by 28.45% reduction of RMSE.
These findings propose that the instruments using light scattering method light scattering method can be used to measure and control the PM10 concentrations of the underground subway stations.

영어초록

The PM10 concentrations in the underground should be monitored for the health of commuters on the underground subway system. Seoul Metro and Seoul Metropolitan Rapid Transit Corporation are measuring several air pollutants regularly. As for the measurement of PM10 concentrations, instruments based on β-ray absorption method and gravimetric methods are being used. But the instruments using gravimetric method give us 20-hour-average data and the β-ray instruments can measure the PM10 concentration every one hour. In order to keep the PM10 concentrations under a healthy condition, the air quality of the underground platform and tunnels should be monitored and controlled continuously. The PM10 instruments using light scattering method can measure the PM10 concentrations every less than one minute. However, the reliability of the instruments using light scattering method is still not proved.
The purpose of this work is to study the reliability of the instruments using light scattering method to measure the PM10 concentrations continuously in the underground platforms. One instrument using β-ray absorption method and two different instruments using light scattering method (LSM1, LSM2) were placed at the platform of the Jegi station of Seoul metro line Number 1 for 10 days. The correlation between the β-ray instrument and the LSM2 (r2=0.732)was higher than that between the β-ray instrument and the LSM1 (r2=0.393). Thus the LSM2 was chosen for further analysis. Three different regression analysis methods were tested: Linear regression analysis, Nonlinear regression analysis and Orthogonal regression analysis. When the instruments using light scattering method were used, the data measured these instruments have to be converted to actual PM10 concentrations using some factors. With these analyses,the factors could be calculated successfully as linear and nonlinear forms with respect to the data. And the orthogonal regression analysis was performed better than the ordinary least squares method by 28.45% reduction of RMSE.
These findings propose that the instruments using light scattering method light scattering method can be used to measure and control the PM10 concentrations of the underground subway stations.

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