GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2018.08.022
Comparing the impact of strong and weak East Asian winter monsoon on PM2.5 concentration in Beijing
Wang, Chao1,2,3; An, Xingqin1,2,3; Zhang, Peiqun4; Sun, Zhaobin5; Cui, Meng6; Ma, Lin7
2019
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2019
卷号215页码:165-177
文章类型Article
语种英语
国家Peoples R China
英文摘要

We investigate the relationship between the wintertime PM2.5 concentration in Beijing from 2005 to 2016 and the East Asian winter monsoon (EAWM) strength based on PM2.5 observations and the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis data. The large-scale atmospheric circulations are compared and the differences in spatial distribution and source areas of Beijing PM2.5 concentration are studied in depth combined with GRAPES-CUACE atmospheric chemistry model and its aerosol adjoint model in strong and weak EAWM years. The results show that the monthly Beijing PM2.5 concentration in winter is significantly anti-correlated with the individual EAWM indices of winter month. According to three EAWM indices, December 2014 and 2016 are selected as the representatives of strong and weak EAWM years for further comparison, In December 2014, the strong EAWM circulation was characterized by the strengthened subtropical westerly jet stream at 300 hPa, the deepened 500 hPa East Asian trough, the strengthened northwesterly wind at 850 hPa in North China, and the developed Siberian High. Conversely, these anomalous patterns in December 2016 were much weaker, resulting in lower boundary layer height, more stable atmosphere stratification and more frequent inversion. The simulated PM2.5 concentration in the northern and southern part of Beijing were affected by the EAWM to different extents, with the values of 55-75 mu g/m(3) in the north and 95-125 mu g/m(3) in the south. There was no obvious difference in the locations of sensitive source areas between December 2014 and 2016. However, compared to December 2014, the accumulated sensitivity coefficients of Beijing, Tianjin, Hebei and Shanxi sources at 72 h ahead of the objective time period were 2.2, 5.9, 1.6, and 1.4 times higher, and the key discharge period was 2.6 times longer in December 2016, The contributions of Beijing and Tianjin sources had greater increase rates, stressing the importance of sensitive source areas in the direction of southeast Beijing in weak EAWM year.


英文关键词PM2.5 East Asian winter monsoon (EAWM) Tracking source areas with adjoint model Beijing
领域地球科学
收录类别SCI-E
WOS记录号WOS:000447575100013
WOS关键词SEVERE HAZE POLLUTION ; GRAPES-CUACE ; AIR-QUALITY ; INTERANNUAL VARIATIONS ; SOURCE AREAS ; JANUARY 2013 ; CLIMATE ; CHINA ; VARIABILITY ; METEOROLOGY
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/37945
专题地球科学
作者单位1.Chinese Acad Meteorol Sci, Inst Atmospher Composit, ZhongGuanCun South Ave 46, Beijing 100081, Peoples R China;
2.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China;
3.Chinese Acad Meteorol Sci, Key Lab Atmospher Chem CMA, Beijing 100081, Peoples R China;
4.China Meteorol Adm, Natl Climate Ctr, ZhongGuanCun South Ave 46, Beijing 100081, Peoples R China;
5.China Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China;
6.Chengdu Univ Informat Technol, Coll Atmospher Sci, Chengdu 610225, Sichuan, Peoples R China;
7.Liaoning Meteorol Equipment Support Ctr, Shenyang 110166, Liaoning, Peoples R China
推荐引用方式
GB/T 7714
Wang, Chao,An, Xingqin,Zhang, Peiqun,et al. Comparing the impact of strong and weak East Asian winter monsoon on PM2.5 concentration in Beijing[J]. ATMOSPHERIC RESEARCH,2019,215:165-177.
APA Wang, Chao,An, Xingqin,Zhang, Peiqun,Sun, Zhaobin,Cui, Meng,&Ma, Lin.(2019).Comparing the impact of strong and weak East Asian winter monsoon on PM2.5 concentration in Beijing.ATMOSPHERIC RESEARCH,215,165-177.
MLA Wang, Chao,et al."Comparing the impact of strong and weak East Asian winter monsoon on PM2.5 concentration in Beijing".ATMOSPHERIC RESEARCH 215(2019):165-177.
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