Simulation of global distribution of temporal and spatial variation of PM2.5 concentration
YANG dong-dong1,2, ZHANG hua1,2, SHEN xin-yong1,3, ZHAO shu-yun2
1. Key Laboratory of Meteorological Disaster, Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2. Laboratory for Climate Studies of China Meteorological Administration, National Climate Center, Beijing 100081, China;
3. Key Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
The temporal and spatial variations of the concentration of PM2.5 from the year 1850 to 1980 and 1980 to 2010, as well as the contributions of anthropogenic and natural aerosols to these variations were simulated in this work, using an aerosol-climate coupled model BCC_AGCM2.0.1_CUACE/Aero. Results show that from 1850 to 1980, the column concentrations of anthropogenic aerosols increased significantly over the globe. The column concentrations of anthropogenic aerosols in PM2.5 mainly increased in eastern North American, Europe and eastern China, and their changes in summer were more significant than in other seasons. The column concentrations of natural aerosols changed more obviously over several large deserts, and their changes in spring and summer were the most significant of all seasons. Anthropogenic aerosols contributed the largest to the variation of PM2.5 column concentration in autumn(95%), but in spring their contributions were the smallest(28%), and in summer and winter their contributions were almost equal(46% and 41% respectively). From 1980 to 2010, the column concentrations of PM2.5 and anthropogenic aerosols increased(especially in spring) in Southeast Asia, while decreased(especially in summer) in Central Europe and North American. Whereas, natural aerosols decreased sharply in desert regions during 1980 to 2010, and their changes were more significant in winter and spring. Variations of natural aerosols almost appear in deserts. The contributions of anthropogenic aerosols to the seasonal change of PM2.5(less than 50% in all seasons) generally reduced comparing with that from 1850 to 1980.
杨冬冬, 张华, 沈新勇, 赵树云. 全球和中国地区PM2.5时空变化特征的模拟[J]. 中国环境科学, 2016, 36(4): 990-999.
YANG dong-dong, ZHANG hua, SHEN xin-yong, ZHAO shu-yun. Simulation of global distribution of temporal and spatial variation of PM2.5 concentration. CHINA ENVIRONMENTAL SCIENCECE, 2016, 36(4): 990-999.
Chung C E, Ramanathan V, Kiehl J T. Effects of the South Asian absorbing haze on the northeast monsoon and surface-Air heat exchange[J]. Journal of Climate, 2002(17):2462-2476.
[3]
Hansen J. Global warming in the twenty-first century:an alternative scenario[J]. Proceedings of the National Academy of Sciences, 2000,97(18):9875-9880.
Myhre G, Samset B H, Schulz M, et al. Radiative forcing of the direct aerosol effect from Aer℃om Phase Ⅱ simulations[J]. Atmospheric Chemistry and Physics Discussions, 2012,13(4):1853-1877.
[8]
Russell A G., Mcrae G J, Cass G R. The dynamics of nitric acid production and the fate of nitrogen oxides[J]. Atmospheric Environment, 1985,19(6):893-903.
Russell A G, Mcrae G J, Cass G R. The dynamics of nitric acid production and the fate of nitrogen oxides[J]. Atmospheric Environment, 1985,19(6):893-903.
[13]
Zhang H, Wang Z, Wang, et al. Simulation of direct radiative forcing of aerosols and their effects on East Asian climate using an interactive AGCM-aerosol coupled system[J]. Climate Dynamics, 2012.38(7/8):1675-1693.
Gong S L, Barrie L A, Blanchet J-P, et al. Canadian Aerosol Module:A size-segregated simulation of atmospheric aerosol processes for climate and air quality models 1. Module development[J]. Journal of Geophysical Research Atmospheres, 2003,108(D1):AAC 3-1-AAC 3-16.
[17]
Marticorena B, Bergametti G. Modeling the atmospheric dust cycle:1. Design of a soil-derived dust emission scheme[J]. Journal of Geophysical Research Atmospheres, 1995,100(D8):16415-16430.
[18]
Alfaro S C, Gomes L. Modeling mineral aerosol production by wind erosion:Emission intensities and aerosol size distributions in source areas[J]. Journal of Geophysical Research Atmospheres, 2001,106(D16):18075-18084.
[19]
Brasseur G P, Hauglustaine D A, Walters S, et al. MOZART, a global chemical transport model for ozone and related chemical tracers:1.Model description[J]. Journal of Geophysical Research Atmospheres, 1998,103(D21):28265-28289.
[20]
Hauglustaine D A, et al. MOZART, a global chemical transport model for ozone and related chemical tracers 2. Model results and evaluation[J]. Journal of Geophysical Research Atmospheres, 1998,1032(D21):28291-28335.
[21]
Zhang H, Xie B, Zhao S Y, et al. PM2.5 and tropospheric O3 in China and an analysis of the impact of pollutant emission control[J]. Advances in Climate Change Research, 2014,5(3):136-141.
Zhao S, et al. Simulating direct effects of dust aerosol on arid and semi-arid regions using an aerosol-climate coupled system[J]. International Journal of Climatology, 2014.
[24]
Wang Z, Zhang H, Lu P. Improvement of cloud microphysics in the aerosol-climate model BCC_AGCM2.0.1_CUACE/Aero, evaluation against observations, and updated aerosol indirect effect[J]. Journal of Geophysical Research Atmospheres, 2014, 119(13):8400-8417.
[25]
Zhang H, Wang Z L, Zhang F, et al. Impact of four-stream radiative transfer algorithm on aerosol direct radiative effect and forcing[J]. International Journal of Climatology, 2015,35(14):4318-4328.
[26]
Wang Z, Zhang H, Zhang X. Simultaneous reductions in emissions of black carbon and co-emitted species will weaken the aerosol net cooling effect[J]. Atmospheric Chemistry & Physics, 2015,15:3671-3685.
Bond T C, Streets D G, Yarber K F, et al. A technology-based global inventory of black and organic carbon emissions from combustion[J]. Journal of Geophysical Research Atmosphere, 2004,109(D14):1149-1165.
