Rapid transition in winter aerosol composition in Beijing from 2014 to 2017: response to clean air actions

被引:194
作者
Li, Haiyan [1 ,4 ]
Cheng, Jing [2 ]
Zhang, Qiang [2 ]
Zheng, Bo [1 ]
Zhang, Yuxuan [2 ]
Zheng, Guangjie [1 ]
He, Kebin [1 ,3 ]
机构
[1] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Dept Earth Syst Sci, Beijing 100084, Peoples R China
[3] Tsinghua Univ, State Environm Protect Key Lab Sources & Control, Beijing 100084, Peoples R China
[4] Univ Helsinki, Inst Atmospher & Earth Syst Res Phys, Fac Sci, FIN-00014 Helsinki, Finland
基金
中国国家自然科学基金;
关键词
FINE-PARTICLE PH; CHEMICAL CHARACTERISTICS; REGIONAL TRANSPORT; MULTILINEAR ENGINE; HAZE FORMATION; CHINA; POLLUTION; PM2.5; COMPONENTS; EMISSIONS;
D O I
10.5194/acp-19-11485-2019
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The clean air actions implemented by the Chinese government in 2013 have led to significantly improved air quality in Beijing. In this work, we combined the in situ measurements of the chemical components of submicron particles (PM1) in Beijing during the winters of 2014 and 2017 and a regional chemical transport model to investigate the impact of clean air actions on aerosol chemistry and quantify the relative contributions of anthropogenic emissions, meteorological conditions, and regional transport to the changes in aerosol chemical composition from 2014 to 2017. We found that the average PM1 concentration in winter in Beijing decreased by 49.5 % from 2014 to 2017 (from 66.2 to 33.4 mu g m(-3)). Sulfate exhibited a much larger decline than nitrate and ammonium, which led to a rapid transition from sulfate-driven to nitrate-driven aerosol pollution during the wintertime. Organic aerosol (OA), especially coal combustion OA, and black carbon also showed large decreasing rates, indicating the effective emission control of coal combustion and biomass burning. The decreased sulfate contribution and increased nitrate fraction were highly consistent with the much faster emission reductions in sulfur dioxide (SO2) due to phasing out coal in Beijing compared to reduction in nitrogen oxides emissions estimated by bottom-up inventory. The chemical transport model simulations with these emission estimates reproduced the relative changes in aerosol composition and suggested that the reduced emissions in Beijing and its surrounding regions played a dominant role. The variations in meteorological conditions and regional transport contributed much less to the changes in aerosol concentration and its chemical composition during 2014-2017 compared to the decreasing emissions. Finally, we speculated that changes in precursor emissions possibly altered the aerosol formation mechanisms based on ambient observations. The observed explosive growth of sulfate at a relative humidity (RH) greater than 50 % in 2014 was delayed to a higher RH of 70 % in 2017, which was likely caused by the suppressed sulfate formation through heterogeneous reactions due to the decrease in SO2 emissions. Thermodynamic simulations showed that the decreased sulfate and nitrate concentrations have lowered the aerosol water content, particle acidity, and ammonium particle fraction. The results in this study demonstrate the response of aerosol chemistry to the stringent clean air actions and identify that the anthropogenic emission reductions are a major driver, which could help to further guide air pollution control strategies in China.
引用
收藏
页码:11485 / 11499
页数:15
相关论文
共 64 条
[1]  
[Anonymous], 2006, ATMOS CHEM PHYS
[2]   Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation [J].
Bey, I ;
Jacob, DJ ;
Yantosca, RM ;
Logan, JA ;
Field, BD ;
Fiore, AM ;
Li, QB ;
Liu, HGY ;
Mickley, LJ ;
Schultz, MG .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D19) :23073-23095
[3]   SoFi, an IGOR-based interface for the efficient use of the generalized multilinear engine (ME-2) for the source apportionment: ME-2 application to aerosol mass spectrometer data [J].
Canonaco, F. ;
Crippa, M. ;
Slowik, J. G. ;
Baltensperger, U. ;
Prevot, A. S. H. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2013, 6 (12) :3649-3661
[4]   Dominant role of emission reduction in PM2.5 air quality improvement in Beijing during 2013-2017: a model-based decomposition analysis [J].
Cheng, Jing ;
Su, Jingping ;
Cui, Tong ;
Li, Xiang ;
Dong, Xin ;
Sun, Feng ;
Yang, Yanyan ;
Tong, Dan ;
Zheng, Yixuan ;
Li, Yanshun ;
Li, Jinxiang ;
Zhang, Qiang ;
He, Kebin .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (09) :6125-6146
[5]   Reactive nitrogen chemistry in aerosol water as a source of sulfate during haze events in China [J].
Cheng, Yafang ;
Zheng, Guangjie ;
Wei, Chao ;
Mu, Qing ;
Zheng, Bo ;
Wang, Zhibin ;
Gao, Meng ;
Zhang, Qiang ;
He, Kebin ;
Carmichael, Gregory ;
Poschl, Ulrich ;
Su, Hang .
SCIENCE ADVANCES, 2016, 2 (12)
[6]   Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach [J].
Crippa, M. ;
Canonaco, F. ;
Lanz, V. A. ;
Aijala, M. ;
Allan, J. D. ;
Carbone, S. ;
Capes, G. ;
Ceburnis, D. ;
Dall'Osto, M. ;
Day, D. A. ;
DeCarlo, P. F. ;
Ehn, M. ;
Eriksson, A. ;
Freney, E. ;
Hildebrandt Ruiz, L. ;
Hillamo, R. ;
Jimenez, J. L. ;
Junninen, H. ;
Kiendler-Scharr, A. ;
Kortelainen, A. -M. ;
Kulmala, M. ;
Laaksonen, A. ;
Mensah, A. ;
Mohr, C. ;
Nemitz, E. ;
O'Dowd, C. ;
Ovadnevaite, J. ;
Pandis, S. N. ;
Petaja, T. ;
Poulain, L. ;
Saarikoski, S. ;
Sellegri, K. ;
Swietlicki, E. ;
Tiitta, P. ;
Worsnop, D. R. ;
Baltensperger, U. ;
Prevot, A. S. H. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (12) :6159-6176
[7]   Aerosol pH and its driving factors in Beijing [J].
Ding, Jing ;
Zhao, Pusheng ;
Su, Jie ;
Dong, Qun ;
Du, Xiang ;
Zhang, Yufen .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (12) :7939-7954
[8]   Modeling of aerosol property evolution during winter haze episodes over a megacity cluster in northern China: roles of regional transport and heterogeneous reactions of SO2 [J].
Du, Huiyun ;
Li, Jie ;
Chen, Xueshun ;
Wang, Zifa ;
Sun, Yele ;
Fu, Pingqing ;
Li, Jianjun ;
Gao, Jian ;
Wei, Ying .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (14) :9351-9370
[9]  
Fang Y.H., 2019, ATMOS CHEM PHYS DISC, DOI [https://doi.org/10.5194/acp-2019-284, DOI 10.5194/ACP-2019-284]
[10]   The January 2013 Beijing "Airpocalypse" and its acute effects on emergency and outpatient visits at a Beijing hospital [J].
Ferreri, Joshua M. ;
Peng, Roger D. ;
Bell, Michelle L. ;
Ya, Liu ;
Li, Tiantian ;
Anderson, G. Brooke .
AIR QUALITY ATMOSPHERE AND HEALTH, 2018, 11 (03) :301-309