Synergetic impacts of precursory climate drivers on interannual-decadal variations in haze pollution in North China: A review

被引:27
作者
Yin, Zhicong [1 ,2 ,3 ]
Zhou, Botao [1 ]
Chen, Huopo [3 ]
Li, Yuyan [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Key Lab Meteorol Disaster, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Minist Educ,Joint Int Res Lab Climate & Environm, Nanjing 210044, Peoples R China
[2] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
[3] Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Haze pollution; Synergetic mechanisms; Climate variability; Climate prediction; EARLY-WINTER HAZE; SEA-ICE; EASTERN CHINA; EL-NINO; ATMOSPHERIC CIRCULATIONS; PARTICULATE MATTER; TIBETAN PLATEAU; PLAIN; VARIABILITY; TRENDS;
D O I
10.1016/j.scitotenv.2020.143017
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
North China suffers from severe haze pollution and has received widespread attentions since the winter of 2012. In addition to human activities, climate variability also plays an important role, particularly in the interannual-decadal variations in the number of haze days in North China (HDNC). Many previous studies separately explored numerous preceding climate drivers, including Arctic sea ice, Eurasia snow and soil moisture, sea surface temperature in Pacific and Atlantic and forcing of Tibetan Plateau, but lacked assessment and analysis of the joint effects. In this study, we reviewed their impacts on HDNC and associated physical mechanisms. Beyond that, the synergetic effects were newly revealed by the observations and numerical experiments with fixed emissions. The preceding signals explained approximately 66% of the interannual-decadal variations in HDNC by exciting teleconnection patterns in winter and influencing the local dispersion conditions in North China. Furthermore, some future research directions were identified, such as the subseasonal variations in HDNC, subseasonal-seasonal prediction of haze by numerical climate models, and changing relationships between HDNC and climate conditions. (C) 2020 The Author(s). Published by Elsevier B.V.
引用
收藏
页数:10
相关论文
共 80 条
[1]   Cleaner air for China [J].
不详 .
NATURE GEOSCIENCE, 2019, 12 (07) :497-497
[2]   ERA-Interim/Land: a global land surface reanalysis data set [J].
Balsamo, G. ;
Albergel, C. ;
Beljaars, A. ;
Boussetta, S. ;
Brun, E. ;
Cloke, H. ;
Dee, D. ;
Dutra, E. ;
Munoz-Sabater, J. ;
Pappenberger, F. ;
de Rosnay, P. ;
Stockdale, T. ;
Vitart, F. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2015, 19 (01) :389-407
[3]  
BARNSTON AG, 1987, MON WEATHER REV, V115, P1083, DOI 10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO
[4]  
2
[5]   Principal component analysis [J].
Bro, Rasmus ;
Smilde, Age K. .
ANALYTICAL METHODS, 2014, 6 (09) :2812-2831
[6]  
Cai WJ, 2017, NAT CLIM CHANGE, V7, P257, DOI [10.1038/nclimate3249, 10.1038/NCLIMATE3249]
[7]  
Cavalieri DJ, 2012, CRYOSPHERE, V6, P881, DOI 10.5194/tc-6-881-2012
[8]   Impact of the 2015 El Nino event on winter air quality in China [J].
Chang, Luyu ;
Xu, Jianming ;
Tie, Xuexi ;
Wu, Jianbin .
SCIENTIFIC REPORTS, 2016, 6
[9]   Anthropogenic fine particulate matter pollution will be exacerbated in eastern China due to 21st century GHG warming [J].
Chen, Huopo ;
Wang, Huijun ;
Sun, Jianqi ;
Xu, Yangyang ;
Yin, Zhicong .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (01) :233-243
[10]   Haze Days in North China and the associated atmospheric circulations based on daily visibility data from 1960 to 2012 [J].
Chen, Huopo ;
Wang, Huijun .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2015, 120 (12) :5895-5909