Correlation Between Aerosol Layer Optical Depth from CALIPSO Satellite Lidar and Air Pollution Index in Qingdao

Abstract

Abstract:

The column aerosol optical depth from satellite remote sensing was widely used for the comparison with ground-based observations of air pollution data, but there were influence on the correlation coefficients between them due to the lack of information about the aerosol vertical profile. The backscatter coefficients profiles from CALIOP sensor onboard CALIPSO satellite were used to determine the atmospheric boundary layer (ABL) in Qingdao. It was found that the ABL was usually about 3 km in Qingdao. Then the aerosol optical depth with ABL less than 3 km in the CALIPSO lidar aerosol layer product were extracted to do correlation analysis with the ground-based observations of air pollution index (API) data in Qingdao. The result showed higher correlation coefficients compared with the column aerosol optical depth .

Key words: CALIPSO lidar, aerosol optical depth, aerosol layer product, atmospheric boundary layer, air pollution index

CLC Number:

X51.3

QI Hai, CHEN Wen-Zhong. Correlation Between Aerosol Layer Optical Depth from CALIPSO Satellite Lidar and Air Pollution Index in Qingdao[J]. Journal of Atmospheric and Environmental Optics, 2015, 10(6): 463-471.

References

[1] Chu D A, Remer L A, Kaufman Y J, et al. Evaluation of aerosol properties over ocean from Moderate Resolution Imaging Spectroradiometer (MODIS) during ACE-Asia [J]. J. Geophys. Res., 2005, 110(D07308), doi:10.1029/2004JD005208.
[2] Martonchik J V, Diner D J, Kahn R A, et al. Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging [J]. IEEE Trans. Geosci. Remote Sens., 1998, 36(4): 1212-1227.
[3] Hostetler C A, Liu Z, Reagan J, et al. Cloud-aerosol lidar and infrared pathfinder satellite observations CALIOP [R]. Alporithm Theoretical Basis Document, Document No: PC-SCI-201, NASA, 2006.
[4] Li Chengcai, Mao Jietai, Liu Qihan, et al. Research on the air pollution in Beijing and its surroundings with MODIS AOD products [J]. Chinese Journal of Atmospheric Sciences, 2003, 27(5): 869-882(in Chinese).
李成才, 毛节泰, 刘启汉, 等. 利用MODIS光学厚度遥感产品研究北京及周边地区的大气污染 [J]. 大气科学, 2003, 27(5): 869-882.
[5] Xia Lihua, Wang Dehui, Wang Fang. Researches on the advanced warning system and advanced warning grade of the photochemic smogpollution in Guangzhou city based on MODIS data
[J]. Remote Sensing for Land & Resources, 2006, 70(4): 73-76(in Chinese).
夏丽华, 王德辉, 王芳. 基于MODIS数据的广州市光化学污染预警等级研究 [J]. 国土资源遥感, 2006, 70(4): 73-76.
[6] Wang Hao, Zha Yong. Urban air quality by MODIS AOT products [J]. Urban Environment & Urban Ecology, 2006, 19(3): 21-24(in Chinese).
王皓, 查勇. MODIS气溶胶光学厚度对城市空气质量的指示 [J]. 城市环境与城市生态, 2006, 19(3): 21- 24.
[7] Li Xia, Ren Yiyong, Wu Yan, et al. Impact of pollutant concentration on aerosol optical depth in ürümqi [J]. Plateau Meteorology, 2007, 26(3): 112- 115(in Chinese).
李霞, 任宜勇, 吴彦, 等. 乌鲁木齐污染物浓度和大气气溶胶光学厚度的关系 [J]. 高原气象, 2007, 26(3): 112- 115.
[8] Huang Jing, Chen Wenzhong. Research on the correlation between MODIS ATOs and APIs in Qingdao API and the linear fitting model table AOT [J]. Journal of Hubei University for Nationalities, 2011, 6(2): 161-163(in Chinese).
黄靖, 陈文忠. MODIS气溶胶光学厚度与青岛市市南区空气污染指数的回归分析 [J]. 湖北民族学院学报, 2011, 6(2): 161-163.
[9] Wang Jing, Yang Fumo, Wang Dingyi, et al. Characteristics and relationship of aerosol optical thickness and PM2.5 concentration over Beijing [J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2010, 27(1): 10-16(in Chinese).
王静, 杨复沫, 王鼎益, 等. 北京市MODIS气溶胶光学厚度和PM2.5质量浓度的特征及其相关性 [J]. 中国科学院研究生院学报, 2010, 27(1): 10-16.
[10] Liu Y, Park R J, Jacob D J, et al. Mapping annual mean ground-level PM2.5 concentrations using Multiangle Imaging Spectroradiometer aerosol optical thickness over the contiguous United States [J]. Geophys. Res., 2004, 109(D22): D22206.
[11] Liu Y, Sarnat J A, Kilaru V, et al. Estimating ground-level PM2.5 in the eastern United States using satellite remote sensing [J]. Environ. Sci. Technol., 2005, 39: 3269-3278.
[12] Van Donkelaar A, Martin R V, Park R J. Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing [J]. Geophys. Res., 2006, 111(D21201), doi:10.1029 / 2005JD006996.
[13] Donkelaar A V, Martin R V, Brauer M, et al. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth:development and application [J]. Environ. Health Perspect., 2010, 118(6): 847-855.
[14] Wang J, Christopher S A. Intercomparison between satellite-derived aerosol optical thickness and PM2.5 mass: Implications for air quality studies [J]. Geophys. Res. Lett., 2003, 30(21): 2095, doi:10.1029/2003GL018174
[15] Bridhikitti A. Atmospheric aerosol layers over Bangkok Metropolitan Region from CALIPSO observations [J]. Atmos. Res., 2013, 127: 1-7.
[16] Omar A H, Winker D M. CALIOP and AERONET aerosol optical depth comparisons: one size fits none [J]. J. Geophys. Res.: Atmos., 2013, 118: 4748-4766.
[17]Steyn D G, Baldi M, Hoff R M. The detection of mixed layer depth and entrainment zone thickness from lidar backscatter profiles [J]. J. Atmos. Oceanic Technol., 1999, 16(7): 953-959.
[18] Mélin F, Zibordi G, Djavidnia S. Development and validation of a technique for merging satellite derived aerosol optical depth from SeaWiFS and MODIS [J]. Remote Sens. Environ., 2007, 108(4): 436-450.