Study of aerosol optical properties at Kunming in southwest China and long-range transport of biomass burning aerosols from North Burma

Abstract Seasonal variation of aerosol optical properties and dominant aerosol types at Kunming (KM), an urban site in southwest China, is characterized. Substantial influences of the hygroscopic growth and long-range transport of biomass burning (BB) aerosols on aerosol optical properties at KM are revealed. These results are derived from a detailed analysis of (a) aerosol optical properties (e.g. aerosol optical depth (AOD), columnar water vapor (CWV), single scattering albedo (SSA) and size distribution) retrieved from sunphotometer measurements during March 2012–August 2013, (b) satellite AOD and active fire products, (c) the attenuated backscatter profiles from the space-born lidar, and (d) the back-trajectories. The mean AOD440nm and extinction Angstrom exponent (EAE440 − 870) at KM are 0.42 ± 0.32 and 1.25 ± 0.35, respectively. Seasonally, high AOD440nm (0.51 ± 0.34), low EAE440 − 870 (1.06 ± 0.34) and high CWV (4.25 ± 0.97 cm) during the wet season (May – October) contrast with their counterparts 0.17 ± 0.11, 1.40 ± 0.31 and 1.91 ± 0.37 cm during the major dry season (November–February) and 0.53 ± 0.29, 1.39 ± 0.19, and 2.66 ± 0.44 cm in the late dry season (March–April). These contrasts between wet and major dry season, together with the finding that the fine mode radius increases significantly with AOD during the wet season, suggest the importance of the aerosol hygroscopic growth in regulating the seasonal variation of aerosol properties. BB and Urban/Industrial (UI) aerosols are two major aerosol types. Back trajectory analysis shows that airflows on clean days during the major dry season are often from west of KM where the AOD is low. In contrast, air masses on polluted days are from west (in late dry season) and east (in wet season) of KM where the AOD is often large. BB air mass is found mostly originated from North Burma where BB aerosols are lifted upward to 5 km and then subsequently transported to southwest China via prevailing westerly winds.

[1]  Akihiro Uchiyama,et al.  Characteristics of Aeolian Dust Observed by Sky-Radiometer in the Intensive Observation Period 1 (IOP1)( ADEC-Aeolian Dust Experiment on Climate Impact-) , 2005 .

[2]  J. Jimenez,et al.  Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition , 2009 .

[3]  Jean-François Léon,et al.  Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust , 2006 .

[4]  Jianping Guo,et al.  Development of an integrating sphere calibration method for Cimel sunphotometers in China aerosol remote sensing network , 2014 .

[5]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .

[6]  Xi Chen,et al.  Precipitation and temperature trends for the Southwest China: 1960–2007 , 2010 .

[7]  L. Sahu,et al.  High time and mass resolved PTR-TOF-MS measurements of VOCs at an urban site of India during winter: Role of anthropogenic, biomass burning, biogenic and photochemical sources , 2015 .

[8]  W C Malm,et al.  Aerosol Light Scattering Measurements as a Function of Relative Humidity , 2000, Journal of the Air & Waste Management Association.

[9]  X. Tie,et al.  Effects of Southeast Asia biomass burning on aerosols and ozone concentrations over the Pearl River Delta (PRD) region , 2008 .

[10]  T. Eck,et al.  Aerosol Properties Over the Indo-Gangetic Plain: A Mesoscale Perspective from the TIGERZ Experiment , 2011 .

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

[12]  Richard G. Derwent,et al.  Radiative forcing in the 21st century due to ozone changes in the troposphere and the lower stratosphere , 2003 .

[13]  T. Eck,et al.  Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols , 1999 .

[14]  C. Linke,et al.  Strong spectral dependence of light absorption by organic carbon particles formed by propane combustion , 2006 .

[15]  Yuesi Wang,et al.  The variability of biomass burning and its influence on regional aerosol properties during the wheat harvest season in North China , 2015 .

[16]  Jing Liu,et al.  Aerosol optical depth over the Tibetan Plateau and its relation to aerosols over the Taklimakan Desert , 2008 .

[17]  Jun Tao,et al.  Study of Aerosol Optical Properties Based on Ground Measurements over Sichuan Basin, China , 2014 .

[18]  Albert Ansmann,et al.  High aerosol load over the Pearl River Delta, China, observed with Raman lidar and Sun photometer , 2005 .

[19]  P. Goloub,et al.  Instrument calibration and aerosol optical depth validation of the China Aerosol Remote Sensing Network , 2009 .

[20]  Xiangao Xia,et al.  Column-integrated aerosol optical and physical properties at a regional background atmosphere in North China Plain , 2014 .

[21]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

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

[23]  Anders Ångström,et al.  On the Atmospheric Transmission of Sun Radiation and on Dust in the Air , 1929 .

[24]  John C. Gille,et al.  Transport and Chemical Evolution over the Pacific (TRACE-P) aircraft mission: Design, execution, and first results , 2003 .

[25]  Xiangao Xia,et al.  Aerosol optical properties and their radiative effects in northern China , 2007 .

[26]  A. Mishra,et al.  Synergistic analyses of optical and microphysical properties of agricultural crop residue burning aerosols over the Indo-Gangetic Basin (IGB) , 2012 .

[27]  Alexander Smirnov,et al.  Cloud-Screening and Quality Control Algorithms for the AERONET Database , 2000 .

[28]  Tami C. Bond,et al.  Spectral absorption properties of atmospheric aerosols , 2007 .

[29]  L. Giglio MODIS Collection 5 Active Fire Product User's Guide Version 2.5 , 2013 .

[30]  T. Eck,et al.  Classification of aerosol properties derived from AERONET direct sun data , 2006 .

[31]  Xiangao Xia,et al.  Aerosol optical properties and radiative effects in the Yangtze Delta region of China , 2007, Journal of Geophysical Research.

[32]  Philip B. Russell,et al.  Wavelength Dependence of the Absorption of Black Carbon Particles: Predictions and Results from the TARFOX Experiment and Implications for the Aerosol Single Scattering Albedo , 2002 .

[33]  Pratibha Deka,et al.  Incremental effect of festive biomass burning on wintertime PM10 in Brahmaputra Valley of Northeast India , 2014 .

[34]  Hongmei Zhao,et al.  Effect of dramatic land use change on gaseous pollutant emissions from biomass burning in Northeastern China , 2015 .

[35]  Yan Yin,et al.  East Asian Studies of Tropospheric Aerosols and their Impact on Regional Climate (EAST‐AIRC): An overview , 2011 .

[36]  L. Remer,et al.  The Collection 6 MODIS aerosol products over land and ocean , 2013 .

[37]  Ramesh P. Singh,et al.  Optical Properties of Fine/Coarse Mode Aerosol Mixtures , 2010 .

[38]  Y. Hongmin Criterion for Determining the Onset and End of the Rainy Season in Southwest China , 2013 .

[39]  G. Carmichael,et al.  Biomass burning in Asia: Annual and seasonal estimates and atmospheric emissions , 2003 .

[40]  T. Eck,et al.  Global evaluation of the Collection 5 MODIS dark-target aerosol products over land , 2010 .

[41]  F. Volz Note on the global variation of stratospheric turbidity since the eruption of Agung Volcano , 1965 .

[42]  Chen Hongbin,et al.  Aerosol properties and their spatial and temporal variations over North China in spring 2001 , 2005 .

[43]  T. Eck,et al.  Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements , 2000 .

[44]  David M. Winker,et al.  The CALIPSO mission: spaceborne lidar for observation of aerosols and clouds , 2003, SPIE Asia-Pacific Remote Sensing.

[45]  Xuemei Wang,et al.  Levoglucosan and carbonaceous species in the background aerosol of coastal southeast China: case study on transport of biomass burning smoke from the Philippines , 2011, Environmental Science and Pollution Research.

[46]  Wei Min Hao,et al.  Spatial and temporal distribution of tropical biomass burning , 1994 .

[47]  David M. Winker,et al.  Summer dust aerosols detected from CALIPSO over the Tibetan Plateau , 2007 .

[48]  Michael D. King,et al.  A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements , 2000 .

[49]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[50]  K. V. S. Badarinath,et al.  Variations in the aerosol optical properties and types over the tropical urban site of Hyderabad, India , 2009 .

[51]  Zhengqiang Li,et al.  Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements , 2013 .