Characteristics and relationship of aerosol optical thickness and PM2.5 concentration over Beijing

doi:10.7523/j.issn.2095-6134.2010.1.002

Abstract

Abstract:

The AOT (aerosol optical thickness) data, retrieved by the MODIS on Terra satellite, were compared with PM_2.5 mass concentration at Tsinghua University. It was shown that both AOT and PM_2.5 had obviously seasonal-change character, and the linear correlation coefficient between them was better in summer than in winter. After modifying weather conditions, such as RH and aerosol elevation, we always found a high correlation coefficient between AOT and PM_2.5. The present study suggests that MODIS AOT is an effective means for monitoring PM air quality.

Key words: AOT, PM_2.5, air quality, Beijing

CLC Number:

P407.1
X513

WANG Jing, YANG Fu-Mo, WANG Ding-Yi, HE Ke-Bin. Characteristics and relationship of aerosol optical thickness and PM_2.5 concentration over Beijing[J]. , 2010, 27(1): 10-16.

References

[1] King M D, Kaufman Y J, Tannre D, et al. Remote sensing of tropospheric aerosols from space: past, present and future . Bulletin of the American Meteorological Society, 1999, 80(11):2229-2259.

[2] Xu X D. Dynamic issues of urban atmospheric pollution models
[J]. Journal of Applied Meteorological Science. 2002, 13(Suppl.):1-12(in Chinese). 徐祥德. 城市化环境大气污染模型动力学问题
[J]. 应用气象学报,2002,13(增刊):1-12.

[3] Colvile R N, Hutchinson E J, Mindell J S, et al. The transport sector as a source of air pollution
[J]. Atmos Environ, 2001, 35:1537-1565.

[4] Xu X D, Shi X H, Zhang S J, et al. Influence domain and climate effect related to aerosol of urban community around Beijing
[J]. Chinese Science Bulletin, 2005,50(22):2522-2530(in Chinese). 徐祥德,施晓辉,张胜军,等. 北京及周边城市群落气溶胶影响域及其相关气候效应
[J]. 科学通报,2005,50(22):2522-2530.

[5] Fuji T, Hayashi S, Hogg J C,et al. Particulate matter induces cytokine expression in human bronchial epithelial cells
[J]. American Journal of Respiratory Cell and Molecular Biology, 2001, 25(3):265-271.

[6] Wei F S, Hu W, Teng E J, et al. Relation analysis of air pollution and childrens respiratory system disease prevalence
[J]. China Environmental Science. 2000, 20(3):220-224(in Chinese). 魏复盛,胡伟,滕恩江,等. 空气污染与儿童呼吸系统患病率的相关分析
[J]. 中国环境科学,2000,20(3):220-224.

[7] Li C C, Mao J T, Alexis Kai-Hon Lau, et al. The application of remote sensing aerosol products from MODIS data in the research on air pollution of Beijing
[J]. Science in China(Series D:Earth Sciences). 2005, 35(Suppl.Ⅰ):177-186(in Chinese). 李成才,毛节泰,刘启汉,等. MODIS卫星遥感气溶胶产品在北京市大气污染研究中的应用
[J]. 中国科学 D辑地球科学,2005,35(增刊Ⅰ):177-186.

[8] Kaufman Y J, Tanre D, Gordon H R, et al. Passive remote sensing of tropospheric aerosol and atmospheric correction for the aerosol effect
[J]. J Geophys Res, 1997, 102(D14):16815-16830.

[9] Kaufman Y J, Tanre D, Remer L A, et al. Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer
[J]. J Geophys Res, 1997, 102(D14):17051-17067.

[10] Chu D A, Kaufman Y J, Zibordi G, et al. Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer(MODIS)
[J]. J Geophys Res, 2003, 108(D21): Art. No. 4661, doi: 10.1029/2002JD003179.

[11] Remer L A, Kaufman Y J, Tanr'e D, et al. The MODIS aerosol algorithm, products and validation
[J]. J Atmos Sci, 2005, 62:947-973.

[12] Engel-Cox J A, Christopher H H, Coutant B W, et al. Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality
[J]. Atmos Environ, 2004,38, 2495-2509.

[13] Gupta P, Christopher S A, Box M A, et al. Multi year satellite remote sensing of particulate matter air quality over Sydney, Australia, Int
[J]. J Remote Sens, 2007,28:4483-4498,doi:10.1080/01431160701241738.

[14] Gupta P, Christopher S A, Wang J, et al. Satellite remote sensing of particulate matter and air quality over global cities
[J]. Atmos Environ, 2006,40:5880-5892.

[15] Wang J, Christopher S A. Intercomparison between satellite-derived aerosol optical thickness and PM_2.5 mass: Implications for air quality studies . Geophysical Research Letters, 2003, 30(21): Art. No. 2095, doi: 10.1029/2003GL018174.

[16] Gupta P, Christopher S A. Seven year particulate matter air quality assessment from surface and satellite measurements
[J]. Atmos Chem Phys Discuss, 2008, 8:327-365.

[17] Liu Y, Meredith Franklin, Ralph Kahn. Using aerosol optical thickness to predict ground-level PM_2.5 concentrations in the St. Louis area: A comparison between MISR and MODIS
[J]. Remote Sensing of Environment, 2007, 107:33-44.

[18] Naresh Kumar, Allen Chu, Andrew Foster. An empirical relationship between PM_2.5 and aerosol optical depth in Delhi Metropolitan
[J]. Atmos Environ, 2007, 41:4492-4503.

[19] Mao J T, Li C C, Zhang J H, et al. The comparison of remote sensing aerosol optical depth from MODIS data and ground sun-photometer observations
[J]. Journal of Applied Meteorological Science. 2002, 13:127-135(in Chinese). 毛节泰,李成才,张军华,等. MODIS 卫星遥感北京地区气溶胶光学厚度及与地面光度计遥感的对比
[J]. 应用气象学报, 2002, 13:127-1351.

[20] Levy R C, Remer L A, Dubovik O. Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land
[J]. J Geophys Res, 2007b,112, D13210, doi:10.1029/2006JD007815.

[21] Levy R C, Remer L A, Mattoo S, et al. Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance
[J]. J Geophys Res, 2007a, 112, D13211,20 doi:10.1029/2006JD007811.

[22] Ichoku C, Chu D A, Mattoo S, et al. A spatio-temporal approach for global validation and analysis of MODIS aerosol products
[J]. Geophys Res Lett, 2002, 29, doi: 10.1029/2001GL013206.

[23] Ozone Processing Team. Total Ozone Mapping Spectrometer. NASA/GSFC. 2002-07 . http://jwocky.gsfc.nasa.gov/aerosols/aermovie.html.

[24] Li B G, Ran Y, Tao S. Seasonal variation and spatial distribution of atmospheric aerosols in Beijing
[J]. Acta Scientiae Circumstantiae. 2008, 28(7):1425-1429(in Chinese). 李本纲,冉阳,陶澍. 北京市气溶胶的时间变化与空间分布特征
[J]. 环境科学学报,2008, 28(7):1425-1429.

[25] Kahn R, Banerjee P, McDonald D, et al. Sensitivity of multiangle imaging to aerosol optical depth and to pure-particle size distribution and composition over ocean
[J]. J Geophys Res, 1998, 103:32195-32213.

[26] He K B, Yang F M, Ma Y L. The characteristics of PM_2.5 in Beijing, China
[J]. Atmos Environ, 2001, 35:4959-4970.

[27] Ackerman S, Strabala K, Menzel P, et al. Discriminating clear sky from clouds with MODIS
[J]. J Geophys Res, 1998, 103:32141-32157.

[28] Hess M, Koepke P, Schult I. Optical properties of aerosols and clouds: the software package OPAC
[J]. Bulletin of the American Meteorological Society, 1998, 79:831-844.

[29] Li C C, Mao J T, Alexis Kai-Hon Lau, 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):869-880(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):869-880.

Characteristics and relationship of aerosol optical thickness and PM_2.5 concentration over Beijing

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	ZHANG Xiaoping, LIN Meihan. Comparison between two air quality index systems in study of urban air pollution in China and its socio-economic determinants [J]. , 2020, 37(1): 39-50.
[2]	WU Peipei, ZHANG Min, SHI Yingchun. A multichannel detection method for HF 3G-ALE signal based on Duffing chaotic oscillator [J]. , 2019, 36(6): 832-838.
[3]	WANG Min, ZHANG Xiaoping. Coupling coordination degree of socio-economic development with resource and environment in Zhaotong City of Yunan Province as a fragile region [J]. , 2017, 34(6): 684-691.
[4]	YANG Kunhao, XIA Zanyu, HE Peng, WU Li, GONG Lingling, QIAN Yueying, HOU Yanlin, HE Yujian. Correlation of fuel quality and emissions of motor vehicle with atmospheric pollution in Beijing [J]. , 2017, 34(3): 304-317.
[5]	DAI Zhixiang, HU Shiwei, LUO Kun, GAO Xiang, FAN Jianren, CEN Kefa. Application of air quality response surface model (RSM) in Hangzhou [J]. , 2017, 34(2): 179-185.
[6]	CHENG Nianliang, ZHANG Dawei, LI Yunting, CHEN Tian, SUN Feng, LI Lingjun, CHENG Bingfen. Characteristics of NO_x concentrations during IAAF World Championships in Athletics and 9.3 military parade periods in 2015 in Beijing [J]. , 2016, 33(6): 834-843.
[7]	ZHANG Fengxia, LI Zhengqiang, LI Kaitao, ZHANG Ying. Aerosol direct radiative forcing in Beijing-Tianjin-Tangshan region based on remote sensing measurements [J]. , 2016, 33(2): 155-161.
[8]	WANG Zhanshan, LI Yunting, DONG Xin, SUN Ruiwen, SUN Naidi, PAN Libo. Analysis on weekend effect of air pollutants in urban atmosphere of Beijing [J]. , 2015, 32(6): 843-850.
[9]	LI Yinghong, DUAN Jingchun, ZHENG Naijia, TAN Jihua, RAO Zhiguo, MA Yongliang, HE Kebin. Characteristics of organic and element carbon in fine particles in Lanzhou [J]. , 2015, 32(4): 490-497.
[10]	WANG Dai, SUN Mingzhe, LIN Xueqin, LIU Xu. Analysis on characteristics and evaluation of agricultural development system in Beijing directed by sustainable development [J]. , 2014, 31(6): 745-752.
[11]	DONG Ying, JU Yiwen, ZHANG Yuxiu, RUI Xiaoping, BU Hongling, GUO Gaoxuan. Characteristics of joints in karst area and their influence on karstification in Zhangfang in Fangshan region of Beijing [J]. , 2014, 31(6): 783-790.
[12]	WANG Xuan, CHEN Jianhua, GENG Chunmei, REN Lihong, CHEN Jianmin, YE Xingnan, YANG Wen. Hygroscopic properties of the ambient aerosols observed in winter in Beijing [J]. , 2014, 31(3): 322-328.
[13]	LUO Datong, GAO Jian, WANG Shulan, ZHANG Yuechong, ZHANG Meng, CHAI Fahe. Characteristics of volatile organic compounds and relative pollutants observed in autumn in Beijing [J]. , 2014, 31(3): 329-336.
[14]	ZHANG Xiaoling, TANG Yixi, XIONG Yajun, ZHANG Renjian, MENG Wei, CAO Xiaoyan. Analysis and numerical forecast of a regional fog-haze in North China plain [J]. , 2014, 31(3): 337-344.
[15]	XU Wei, XIU Guangli, TAO Jun, ZHU Mengya, CAI Jing, WANG Lina, ZHANG Renjian. Seasonal variation characteristics of atmospheric aerosol scattering coefficients in Shanghai [J]. Journal of University of Chinese Academy of Sciences, 2014, 31(3): 345-350.