Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model

We investigate heavy haze episodes (with dense concentrations of atmospheric aerosols) occurring around Beijing in June, when serious air pollution was detected by both satellite and ground measurements. Aerosol retrieval is achieved by radiative transfer simulation in an Earth atmosphere model. We solve the radiative transfer problem in the case of haze episodes by successive order of scattering. We conclude that air pollution around Beijing in June is mainly due to increased emissions of anthropogenic aerosols and that carbonaceous aerosols from agriculture biomass burning in Southeast Asia also contribute to pollution.

[1]  Sonoyo Mukai,et al.  Algorithms for radiative transfer simulations for aerosol retrieval , 2012, Remote Sensing.

[2]  Jing Fu Guo,et al.  Merging aerosol optical depth data from multiple satellite missions to view agricultural biomass burning in Central and East China , 2012 .

[3]  Multiple scattering in a dense aerosol atmosphere , 2012 .

[4]  P. Buseck,et al.  Haze types in Beijing and the influence of agricultural biomass burning , 2010 .

[5]  K. Lee,et al.  Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days , 2010 .

[6]  T. Nakajima,et al.  A study of anthropogenic impacts of the radiation budget and the cloud field in East Asia based on model simulations with GCM , 2008 .

[7]  T. Littmann Dust storm frequency in Asia: Climatic control and variability , 2007 .

[8]  J. Baldasano,et al.  Interactive dust‐radiation modeling: A step to improve weather forecasts , 2006 .

[9]  柴田 亮,et al.  The International Society for Optical Engineering , 2006 .

[10]  M. McCormick,et al.  Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements , 2005 .

[11]  S. Emori,et al.  Simulation of climate response to aerosol direct and indirect effects with aerosol transport‐radiation model , 2005 .

[12]  A study of long-term trends in mineral dust aerosol distributions in Asia using a general circulation model , 2004 .

[13]  Sang Woo Kim,et al.  Environmental snapshots from ACE-Asia , 2004 .

[14]  Sonoyo Mukai,et al.  Optical properties of aerosols during APEX and ACE-Asia experiments , 2003 .

[15]  C. Timmreck,et al.  Monthly Averages of Aerosol Properties: A Global Comparison Among Models, Satellite Data, and AERONET Ground Data , 2003 .

[16]  T. Eck,et al.  Spectral discrimination of coarse and fine mode optical depth , 2003 .

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

[18]  T. Nakajima,et al.  Modeling study of long‐range transport of Asian dust and anthropogenic aerosols from East Asia , 2002 .

[19]  T. H. Vonder Haar,et al.  Comparison of aerosol properties derived from Sun photometer data and ground‐based chemical measurements , 2002 .

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

[21]  T. Eck,et al.  Modified angström exponent for the characterization of submicrometer aerosols. , 2001, Applied optics.

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

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

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

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

[26]  W. Malm,et al.  Effects of mixing on extinction by carbonaceous particles , 1999 .

[27]  R. L. Balthazor,et al.  Morphology of large-scale traveling atmospheric disturbances in the polar thermosphere , 1999 .

[28]  T. Eck,et al.  Accuracy assessments of aerosol optical properties retrieved from AERONET Sun and sky-radiance measurements , 1999 .

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

[30]  P. Bhartia,et al.  Derivation of aerosol properties from satellite measurements of backscattered ultraviolet radiation , 1998 .

[31]  Annick Bricaud,et al.  The POLDER mission: instrument characteristics and scientific objectives , 1994, IEEE Trans. Geosci. Remote. Sens..

[32]  Sonoyo Mukai,et al.  Atmospheric correction for ocean color remote sensing: optical properties of aerosols derived from CZCS imagery , 1992, IEEE Trans. Geosci. Remote. Sens..

[33]  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..

[34]  S. Mukai Atmospheric correction of remote sensing images of the ocean based on multiple scattering calculations , 1990, IEEE Transactions on Geoscience and Remote Sensing.

[35]  P. Chylek,et al.  Dielectric constant of a composite inhomogeneous medium , 1983 .

[36]  C. Bohren,et al.  On the computation of optical properties of heterogeneous grains , 1977 .

[37]  V. Ivanov,et al.  Multiple scattering of light in semi-infinite atmospheres , 1973 .

[38]  High-order Scattering in Diffuse Reflection from a Semi-infinite Atmosphere , 1970 .

[39]  W. Irvine,et al.  Multiple Scattering in a Plane-Parallel Atmosphere I. Successive Scattering in a Semi-Infinite Medium , 1970 .