Do More Frequent Temperature Inversions Aggravate Haze Pollution in China?

被引:19
作者
Bai, Kaixu [1 ,2 ]
Li, Ke [1 ]
Guo, Jianping [3 ]
Cheng, Wei [4 ]
Xu, Xiaofeng [5 ]
机构
[1] East China Normal Univ, Sch Geog Sci, Key Lab Geog Informat Sci, Minist Educ, Shanghai, Peoples R China
[2] Inst Ecochongming, Shanghai, Peoples R China
[3] Chinese Acad Meterol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
[4] Beijing Inst Appl Meteorol, Beijing, Peoples R China
[5] China Meteorol Adm, Beijing, Peoples R China
基金
中国国家自然科学基金; 上海市自然科学基金;
关键词
temperature inversion; PM2; 5; China; radiosonde; PLANETARY BOUNDARY-LAYER; ATMOSPHERIC STABILITY; EASTERN CHINA; AIR-POLLUTION; RADIOSONDE; PM2.5; AEROSOL;
D O I
10.1029/2021GL096458
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
By using twice daily high-resolution radiosonde observations, here we assessed spatiotemporal variability of temperature inversion (TI) and its impact on PM2.5 pollution levels in China from 2014 to 2020. It was found that both surface-based inversion (SBI) and elevated inversion (EI) became increasingly frequent across China, at a rate of 1.42% a(-1) (1.15% a(-1)) and 2.82% a(-1) (3.23% a(-1)) at 0800 (2000) Beijing time (BJT), respectively. However, the intensity of SBI and EI at 0800 (2000) BJT decreased at -0.17 (-0.43) and -0.07 (-0.05) degrees C 100m(-1) decade(-1), making annual mean PM2.5 increment induced by TI dip by 52.5% (73.2%) for the whole study period. Still positive TI induced PM2.5 increments demonstrate an offsetting effect between TI and emission control on haze pollution, underscoring the importance of fully considering TI contribution when assessing the emission control effect on haze reduction.
引用
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页数:10
相关论文
共 32 条
[1]   Severe haze in northern China: A synergy of anthropogenic emissions and atmospheric processes [J].
An, Zhisheng ;
Huang, Ru-Jin ;
Zhang, Renyi ;
Tie, Xuexi ;
Li, Guohui ;
Cao, Junji ;
Zhou, Weijian ;
Shi, Zhengguo ;
Han, Yongming ;
Gu, Zhaolin ;
Ji, Yuemeng .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (18) :8657-8666
[2]   Visualizing the effects of predictor variables in black box supervised learning models [J].
Apley, Daniel W. ;
Zhu, Jingyu .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2020, 82 (04) :1059-1086
[3]   Filling the gaps of in situ hourly PM2.5 concentration data with the aid of empirical orthogonal function analysis constrained by diurnal cycles [J].
Bai, Kaixu ;
Li, Ke ;
Guo, Jianping ;
Yang, Yuanjian ;
Chang, Ni-Bin .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2020, 13 (03) :1213-1226
[4]   Diagnosing atmospheric stability effects on the modeling accuracy of PM2.5/AOD relationship in eastern China using radiosonde data [J].
Bai, Kaixu ;
Chang, Ni-Bin ;
Zhou, Jiayuan ;
Gao, Wei ;
Guo, Jianping .
ENVIRONMENTAL POLLUTION, 2019, 251 :380-389
[5]  
Bilello M.A., 1966, SURVEY ARCTIC SUBARC
[6]  
Cai WJ, 2017, NAT CLIM CHANGE, V7, P257, DOI [10.1038/NCLIMATE3249, 10.1038/nclimate3249]
[7]   Quantifying the influences of atmospheric stability on air pollution in Lanzhou, China, using a radon-based stability monitor [J].
Chambers, Scott D. ;
Wang, Fenjuan ;
Williams, Alastair G. ;
Deng Xiaodong ;
Zhang, Hua ;
Lonati, Giovanni ;
Crawford, Jagoda ;
Griffiths, Alan D. ;
Ianniello, Antonietta ;
Allegrini, Ivo .
ATMOSPHERIC ENVIRONMENT, 2015, 107 :233-243
[8]   Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism [J].
Chen, Ziyue ;
Chen, Danlu ;
Zhao, Chuanfeng ;
Kwan, Mei-po ;
Cai, Jun ;
Zhuang, Yan ;
Zhao, Bo ;
Wang, Xiaoyan ;
Chen, Bin ;
Yang, Jing ;
Li, Ruiyuan ;
He, Bin ;
Gao, Bingbo ;
Wang, Kaicun ;
Xu, Bing .
ENVIRONMENT INTERNATIONAL, 2020, 139
[9]   Significant reduction of PM2.5 in eastern China due to regional-scale emission control: evidence from SORPES in 2011-2018 [J].
Ding, Aijun ;
Huang, Xin ;
Nie, Wei ;
Chi, Xuguang ;
Xu, Zheng ;
Zheng, Longfei ;
Xu, Zhengning ;
Xie, Yuning ;
Qi, Ximeng ;
Shen, Yicheng ;
Sun, Peng ;
Wang, Jiaping ;
Wang, Lei ;
Sun, Jianning ;
Yang, Xiu-Qun ;
Qin, Wei ;
Zhang, Xiangzhi ;
Cheng, Wei ;
Liu, Weijing ;
Pan, Liangbao ;
Fu, Congbin .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (18) :11791-11801
[10]   Influence of surface and subsidence thermal inversion on PM2.5 and black carbon concentration [J].
Gramsch, E. ;
Caceres, D. ;
Oyola, P. ;
Reyes, E. ;
Vasquez, Y. ;
Rubio, M. A. ;
Sanchez, G. .
ATMOSPHERIC ENVIRONMENT, 2014, 98 :290-298