Increase in winter haze over eastern China in recent decades: Roles of variations in meteorological parameters and anthropogenic emissions

Citations Over TimeTop 1% of 2016 papers

Abstract

Abstract The increase in winter haze over eastern China in recent decades due to variations in meteorological parameters and anthropogenic emissions was quantified using observed atmospheric visibility from the National Climatic Data Center Global Summary of Day database for 1980–2014 and simulated PM 2.5 concentrations for 1985–2005 from the Goddard Earth‐Observing System (GEOS) chemical transport model (GEOS‐Chem). Observed winter haze days averaged over eastern China (105–122.5°E, 20–45°N) increased from 21 days in 1980 to 42 days in 2014 and from 22 to 30 days between 1985 and 2005. The GEOS‐Chem model captured the increasing trend of winter PM 2.5 concentrations for 1985–2005, with concentrations averaged over eastern China increasing from 16.1 µg m −3 in 1985 to 38.4 µg m −3 in 2005. Considering variations in both anthropogenic emissions and meteorological parameters, the model simulated an increase in winter surface‐layer PM 2.5 concentrations of 10.5 (±6.2) µg m −3 decade −1 over eastern China. The increasing trend was only 1.8 (±1.5) µg m −3 decade −1 when variations in meteorological parameters alone were considered. Among the meteorological parameters, the weakening of winds by −0.09 m s −1 decade −1 over 1985–2005 was found to be the dominant factor leading to the decadal increase in winter aerosol concentrations and haze days over eastern China during recent decades.

Related Papers

• → Modal aerosol dynamics model for Europe(1998)756 cited
• → Brown haze types due to aerosol pollution at Hefei in the summer and fall(2014)29 cited
• → Three‐dimensional simulations of inorganic aerosol distributions in east Asia during spring 2001(2004)94 cited
• → Modelling of chemical and physical aerosol properties during the ADRIEX aerosol campaign(2008)8 cited
• Regional and global CO and aerosol correlations: An integrated approach of surface, satellite, and aircraft measurements and model simulations(2004)