Study on Long-term Aerosol Distribution over the Land of East China Using MODIS Data

East China is among the fastest developing area in Asia, where atmospheric aerosol loading is high due to heavy urban and industrial emission. The Moderate Resolution Imaging Spectroradiometer (MODIS) level 2 aerosol products (2000–2007) were used to study aerosol spatial and temporal distributions, as well as their variations with local meteorological conditions over East China. By combining Aerosol Optical Depth (AOD) and aerosol Fine Mode Fraction (FMF), we found that the urban/industrial aerosol and soil dust are possibly two dominant species over northern part, whereas continental and marine aerosols possibly dominate the southern part of East China. Both annual mean AOD and area with high AOD increased from 2000 to 2007, with the largest increase seen in Yangtze River Delta region (YRD). In summer, AOD in East China reached the maximum of about 0.8 in YRD, dominated by fine mode particles. The minimum AOD occurred in winter with mostly coarse mode particles. Local aerosol properties were analyzed in three typical zones: the northern dry zone (I), the central urban/industrial zone (II) and the southern natural background zone (III). Monthly mean AODs in zone I and II were above 0.5 throughout the entire year, with the maximum AOD in June. High FMFs in this period indicated heavy urban and industrial pollution. Monthly mean AODs and FMFs in zone III reached maximum of 0.51 in April and September (up to 90.7%) respectively. High AOD in spring in zone III appears mostly due to the long-range dust transport from the North.

[1]  Qun Xu,et al.  Abrupt change of the mid-summer climate in central east China by the influence of atmospheric pollution , 2001 .

[2]  M. Noguer,et al.  Climate change 2001: The scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2002 .

[3]  On the accuracy of the size distribution information obtained from light extinction and scattering measurements—II. Case studies , 1993 .

[4]  G. Gobbi,et al.  Aerosol seasonal variability over the Mediterranean region and relative impact of maritime, continental and Saharan dust particles over the basin from MODIS data in the year 2001 , 2004 .

[5]  T. Nakajima,et al.  Aerosol radiative forcing over east Asia determined from ground-based solar radiation measurements : Global aerosol system , 2005 .

[6]  Yoram J. Kaufman,et al.  Evaluation of aerosol properties over ocean from Moderate Resolution Imaging Spectroradiometer (MODIS) during ACE-Asia , 2005 .

[7]  Sang Woo Kim,et al.  Aerosol hygroscopic properties during Asian dust, pollution, and biomass burning episodes at Gosan, Korea in April 2001 , 2006 .

[8]  Young-Joon Kim,et al.  Characteristics of aerosol observed during two severe haze events over Korea in June and October 2004 , 2006 .

[9]  S. Ramachandran.  Aerosol optical depth and fine mode fraction variations deduced from Moderate Resolution Imaging Spectroradiometer (MODIS) over four urban areas in India , 2007 .

[10]  W. Paul Menzel,et al.  Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS) , 1992, IEEE Trans. Geosci. Remote. Sens..

[11]  Y. Kaufman,et al.  Dynamic aerosol model: Urban/industrial aerosol , 1998 .

[12]  Kei Sato,et al.  Aerial Observation of Aerosols Transported from East Asia — Chemical Composition of Aerosols and Layered Structure of an Air Mass over the East China Sea , 2011 .

[13]  E. Vermote,et al.  Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer , 1997 .

[14]  J. Coakley,et al.  Climate Forcing by Anthropogenic Aerosols , 1992, Science.

[15]  Yoram J. Kaufman,et al.  Evaluation of the Moderate‐Resolution Imaging Spectroradiometer (MODIS) retrievals of dust aerosol over the ocean during PRIDE , 2003 .

[16]  T. Eck,et al.  Comparison of Moderate Resolution Imaging Spectroradiometer (MODIS) and Aerosol Robotic Network (AERONET) remote-sensing retrievals of aerosol fine mode fraction over ocean , 2005 .

[17]  Michael H. Bergin,et al.  Measurement of aerosol chemical, physical and radiative properties in the Yangtze delta region of China , 2002 .

[18]  A. Clarke,et al.  Secondary aerosol formation in continental outflow conditions during ACE-Asia , 2004 .

[19]  J. Hansen,et al.  Climate Effects of Black Carbon Aerosols in China and India , 2002, Science.

[20]  Yong Xue,et al.  Aerosol optical thickness determination by exploiting the synergy of TERRA and AQUA MODIS , 2005 .

[21]  H. Che,et al.  Spatio-temporal variation trends of satellite-based aerosol optical depth in China during 1980-2008 , 2011 .

[22]  Yang Sun,et al.  Aerosol optical depth (AOD) and Angstrom exponent of aerosols observed by the Chinese Sun Hazemeter Network from August 2004 to September 2005 , 2007 .

[23]  Yufen Zhang,et al.  Estimation of the Main Factors Influencing Haze, Based on a Long-term Monitoring Campaign in Hangzhou, China , 2011 .

[24]  B. Holben,et al.  Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS) , 2003 .

[25]  Xiangao Xia,et al.  Aerosol optical properties based on ground measurements over the Chinese Yangtze Delta Region , 2010 .

[26]  Sang Woo Kim,et al.  Aerosol optical, chemical and physical properties at Gosan, Korea during Asian dust and pollution episodes in 2001 , 2005 .

[27]  T. Eck,et al.  Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations , 2002 .

[28]  E. Vermote,et al.  Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance , 2007 .

[29]  Peng Wang,et al.  Study on the aerosol optical properties and their relationship with aerosol chemical compositions over three regional background stations in China , 2009 .

[30]  P. Koepke,et al.  Optical Properties of Aerosols and Clouds: The Software Package OPAC , 1998 .

[31]  Soon-Chang Yoon,et al.  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 .

[32]  Renjian Zhang,et al.  Agricultural Fire Impacts on the Air Quality of Shanghai during Summer Harvesttime , 2010 .

[33]  A. Lau,et al.  A study on the aerosol extinction-to-backscatter ratio with combination of micro-pulse LIDAR and MODIS over Hong Kong , 2006 .

[34]  Yoram J. Kaufman,et al.  Retrievals of profiles of fine and coarse aerosols using lidar and radiometric space measurements , 2003, IEEE Trans. Geosci. Remote. Sens..

[35]  Young-Joon Kim,et al.  An overview of ACE‐Asia: Strategies for quantifying the relationships between Asian aerosols and their climatic impacts , 2003 .

[36]  L. Weiliang,et al.  Characteristics of the spatial distribution and yearly variation of aerosol optical depth over China in last 30 years , 2001 .

[37]  Yun Qian,et al.  Regional climatic effects of anthropogenic aerosols? The case of southwestern China , 2000 .

[38]  LI Chengcai,et al.  Validation of MODIS derived aerosol optical depth over the Yangtze River Delta in China , 2010 .

[39]  W Ogana,et al.  Contribution of Working Group 1 to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2001 .

[40]  O. Boucher,et al.  Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review , 2000 .

[41]  Soon-Chang Yoon,et al.  Chemical Characterization of Fine and Coarse Particles in Gosan, Korea during Springtime Dust Events , 2011 .

[42]  Observation Study of Aerosol Radiative Properities over China , 2006 .

[43]  John H. Seinfeld,et al.  Sensitivity of direct climate forcing by atmospheric aerosols to aerosol size and composition , 1995 .

[44]  T. Takemura,et al.  Significance of direct and indirect radiative forcings of aerosols in the East China Sea region , 2003 .

[45]  Pasi Aalto,et al.  Aerosol formation: Atmospheric particles from organic vapours , 2002, Nature.

[46]  Keith D. Hutchison,et al.  Correlating MODIS aerosol optical thickness data with ground-based PM2.5 observations across Texas for use in a real-time air quality prediction system , 2005 .

[47]  Received for review , 1975 .

[48]  Junji Cao,et al.  Analysis of a severe dust storm event over China: Application of the WRF-Dust Model , 2011 .

[49]  Xiangao Xia,et al.  Variation of column‐integrated aerosol properties in a Chinese urban region , 2006 .

[50]  J. Levine,et al.  Biomass Burning: A Driver for Global Change! , 1995 .

[51]  H. Tanimoto,et al.  Analysis of the seasonal variation of ozone in the boundary layer in East Asia using the Community Multi-scale Air Quality model: What controls surface ozone levels over Japan? , 2006 .

[52]  Kaarle Hämeri,et al.  Local Air Pollution Versus Short-range Transported Dust Episodes: A Comparative Study for Submicron Particle Number Concentration , 2011 .

[53]  E. Shettle,et al.  Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties , 1979 .

[54]  E. Vermote,et al.  The MODIS Aerosol Algorithm, Products, and Validation , 2005 .

[55]  Mao Jietai,et al.  Study on the Distribution and Variation Trends of Atmospheric Aerosol Optical Depth over the Yangtze River Delta in China , 2007 .