라이다 관측자료를 이용한 미세먼지 농도 산정
Estimation of Particle Mass Concentration from Lidar Measurement
1
조회
0
다운로드
9
인용
0
참고문헌
키워드
초록
Vertical distribution of particle mass concentrations was estimated from 8-yearelastic-backscatter lidar and sky radiometer data, and from ground-level PM10 concentrationsmeasured in Seoul. Lidar ratio and mass extinction efficiency were determined from aerosoloptical depth (AOD) and ground-level PM10 concentrations, which were used as constraints toestimate particle mass concentration. The mean lidar ratio (with standard deviation) and massextinction efficiency for the entire 8-year study period were 60.44 ± 23.17 sr and 3.69 ± 3.00m2 g−1, respectively. The lidar ratio did not vary significantly with the Ångström exponent (lessthan ± 10%); however, the mass extinction efficiency decreases to 1.82 ± 1.67 m2 g−1 (51% lessthan the mean value) when the Ångström exponent is less than 0.5. This result implies that theparticle mass concentration from lidar measurements can be underestimated for dust events. Seasonal variation of the particle mass concentration estimated from lidar measurements forthe boundary layer, was quite different from ground-level PM10 measurements. This can beattributable to an inhomogeneous vertical distribution of aerosol in the boundary layer.
Abstract
Vertical distribution of particle mass concentrations was estimated from 8-yearelastic-backscatter lidar and sky radiometer data, and from ground-level PM10 concentrationsmeasured in Seoul. Lidar ratio and mass extinction efficiency were determined from aerosoloptical depth (AOD) and ground-level PM10 concentrations, which were used as constraints toestimate particle mass concentration. The mean lidar ratio (with standard deviation) and massextinction efficiency for the entire 8-year study period were 60.44 ± 23.17 sr and 3.69 ± 3.00m2 g−1, respectively. The lidar ratio did not vary significantly with the Ångström exponent (lessthan ± 10%); however, the mass extinction efficiency decreases to 1.82 ± 1.67 m2 g−1 (51% lessthan the mean value) when the Ångström exponent is less than 0.5. This result implies that theparticle mass concentration from lidar measurements can be underestimated for dust events. Seasonal variation of the particle mass concentration estimated from lidar measurements for the boundary layer, was quite different from ground-level PM10 measurements. This can be attributable to an inhomogeneous vertical distribution of aerosol in the boundary layer.
참고문헌 (17)
- Anderson, T. L., "In situ measurements of the aerosol extinctiontobackscatter ratio at a polluted continental site", J. Geophys. Res, 105, pp.26907~26915 (2000)
- Bucholtz, A., "Rayleigh-scattering calculations for the terrestrial atmosphere", Appl. Opt, 34, pp.2765~2773 (1995)
- Cattrall, C., "Variability of aerosol and spectral lidar and backscatter and extinction ratios of key aerosol types derived fromselected Aerosol RoboticNetwork locations", J. Geophys. Res, 110, pp.D10S11~ (2005)[DOI]
- Fernald, F. G., "Analysis of atmospheric lidar observations : Some comments", Appl. Opt, 23, pp.652~653 (1984)
- Hand, J. L., "Review of aerosol mass scattering efficiencies from ground-based measurements since 1990", J. Geophys. Res, 112, pp.D16203~ (2007)[DOI]
- 김만해, "라이다와 스카이 라디오미터 관측 자료를 이용한 서울지역 라이다 비의 특성 분석", 대기, 21(2), pp.57~67 (2011), 한국기상학회
- Kim, S. -W., "Seasonal and monthly variations of columnar aerosol optical properties over east Asia determined from multi-year MODIS, LIDAR, and AERONET Sun", sky radiometer measurements, 2007, pp.41, 1634~1651
- Kim, S. -W., "Aerosol optical, chemical, and physical properties at Gosan, Korea during Asian dust and pollution rpisodes in 2001", Atmos. Environ, 39, pp.39~50 (2005)
- Klett, J. D., "Stable analytical inversion solution for processing lidar returns", Appl. Opt, 20, pp.211~220 (1981)
- Murayama, T., "An intercomparison of lidar-derived aerosol optical properties with airborne measurements near Tokyo during ACE-Asia", J. Geophys. Res, 108, pp.8651~ (2003)[DOI]
- Nakajima, T., "Use of sky brightness measurements from ground for remote sensing of particulate polydispersions", Appl. Opt, 35, pp.2672~2686 (1996)
- Noh, Y. M., "Aerosol lidar ratio characteristics measured by a multi-wavelength Raman lidar system at Anmyeon Island, Korea", Atmos. Res., 86, pp.76~87 (2007)[DOI]
- Omar, A. H., "The CALIPSO automated aerosol classification and lidar ratio selection algorithm, J", Atmos. Oceanic Technol, 26, pp.1994~2014 (2009)[DOI]
- Ramanathan, V., "Atmospheric Brown Clouds : Regional Assessment Report with Focus on Asia", United Nations Environment Programme, ~ (2008)
- Sasano, Y., "Error caused by using a constant extinction", backscattering ratio in the lidar solution, 1985, pp.24, 3929~3932
- Won, J. -G., "Estimation of direct radiative forcing of Asian dust aerosols with sun", sky radiometer and lidar measurements at Gosan, Korea, 2004, pp.82, 115~130
- Yoon, S. -C., "Ground-based Mie-scattering lidar measurements of aerosol extinction profiles during ABC-EAREX2005, Comparisons of instruments and inversion algorithms", J. Meteor. Soc. Japan, 86, pp.377~396 (2008)