Co-occurrence of ozone and PM2.5 pollution in the Yangtze River Delta over 2013-2019: Spatiotemporal distribution and meteorological conditions

被引:88
作者
Dai, Huibin [1 ]
Zhu, Jia [1 ]
Liao, Hong [1 ]
Li, Jiandong [1 ]
Liang, Muxue [1 ]
Yang, Yang [1 ]
Yue, Xu [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Jiangsu Key Lab Atmospher Environm Monitoring & P, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Sch Environm Sci & Engn, Nanjing 210044, Peoples R China
基金
中国国家自然科学基金;
关键词
Co-occurrence; Ozone and PM2.5; Pollution; Typical weather patterns; NET PRIMARY PRODUCTIVITY; GROUND-LEVEL OZONE; SURFACE OZONE; REGIONAL TRANSPORT; WEATHER PATTERNS; AIR-POLLUTANTS; CHINA; IMPACTS; HAZE; EMISSION;
D O I
10.1016/j.atmosres.2020.105363
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
We examined the spatial-temporal variations of surface-layer ozone (O-3) and PM2.5 (particulate matter with an aerodynamic equivalent diameter of 2.5 mu m or less) observed from April 2013 to December 2019 in the Yangtze River Delta (YRD) region to identify the O3-PM2.5 relationship and to focus on the co-polluted days by O-3 and PM2.5. Averaged over the YRD, the observed annual mean concentration of maximum daily 8 h average ozone (MDA8 O-3) increased by 36.8 mu gm(3) (49.5%) whereas that of PM2.5 decreased by 13.3 mu gm(3) (22.1%) over 2014-2019. During warm months of April-October of 2013-2019, the observed regional mean daily concentrations of MDA8 O-3 and PM2.5 had a small positive correlation of 0.23, and this correlation coefficient became 0.44 when the long term trends were removed from the concentrations. The days with co-pollution of MDA8 O-3 and PM2.5 (MDA8 O-3 > 160 mu gm(3) and PM2.5 > 75 mu gm(3)) were observed frequently, which reached 54 days in Shanghai and 71 days in Jiangsu province during 2013-2019. Such co-polluted days in the YRD were found to occur mainly in the months of April, May, June, and October. The occurrence of co-pollution in the YRD is found to be mainly dependent on relative humidity, surface air temperature, and wind speed. The mean anomalous values of these three variables were, respectively,-7.3%, 0.46 degrees C,-0.17 m s(-1) for days with O-3 pollution alone while-6.2%, 1.84 degrees C, and-0.40 m s(-1) for days with co-pollution. Four typical weather patterns were identified to be associated with the co-polluted days. Our results provide better understanding of the complex air pollution and have implications for the control of such co-polluted events.
引用
收藏
页数:9
相关论文
共 34 条
[1]  
Cai WJ, 2017, NAT CLIM CHANGE, V7, P257, DOI [10.1038/NCLIMATE3249, 10.1038/nclimate3249]
[2]   Ozone and fine particle in the western Yangtze River Delta: an overview of 1 yr data at the SORPES station [J].
Ding, A. J. ;
Fu, C. B. ;
Yang, X. Q. ;
Sun, J. N. ;
Zheng, L. F. ;
Xie, Y. N. ;
Herrmann, E. ;
Nie, W. ;
Petaja, T. ;
Kerminen, V-M ;
Kulmala, M. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2013, 13 (11) :5813-5830
[3]   Microscopic morphology and seasonal variation of health effect arising from heavy metals in PM2.5 and PM10: One-year measurement in a densely populated area of urban Beijing [J].
Gao, Yang ;
Ji, Hongbing .
ATMOSPHERIC RESEARCH, 2018, 212 :213-226
[4]   A typical weather pattern for ozone pollution events in North China [J].
Gong, Cheng ;
Liao, Hong .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (22) :13725-13740
[5]   Inter-annual variability in fine particulate matter pollution over China during 2013-2018: Role of meteorology [J].
Hou, Xuewei ;
Zhu, Bin ;
Kumar, Kanike Raghavendra ;
Lu, Wen .
ATMOSPHERIC ENVIRONMENT, 2019, 214
[6]   Variation tendency of pollution characterization, sources, and health risks of PM2.5-bound polycyclic aromatic hydrocarbons in an emerging megacity in China: Based on three-year data [J].
Jiang, Nan ;
Li, Liping ;
Wang, Shanshan ;
Li, Qiang ;
Dong, Zhe ;
Duan, Shiguang ;
Zhang, Ruiqin ;
Li, Shengli .
ATMOSPHERIC RESEARCH, 2019, 217 :81-92
[7]   Severe particulate pollution days in China during 2013-2018 and the associated typical weather patterns in Beijing-Tianjin-Hebei and the Yangtze River Delta regions [J].
Li, Jiandong ;
Liao, Hong ;
Hu, Jianlin ;
Li, Nan .
ENVIRONMENTAL POLLUTION, 2019, 248 :74-81
[8]   A two-pollutant strategy for improving ozone and particulate air quality in China [J].
Li, Ke ;
Jacob, Daniel J. ;
Liao, Hong ;
Zhu, Jia ;
Shah, Viral ;
Shen, Lu ;
Bates, Kelvin H. ;
Zhang, Qiang ;
Zhai, Shixian .
NATURE GEOSCIENCE, 2019, 12 (11) :906-+
[9]   Anthropogenic drivers of 2013-2017 trends in summer surface ozone in China [J].
Li, Ke ;
Jacob, Daniel J. ;
Liao, Hong ;
Shen, Lu ;
Zhang, Qiang ;
Bates, Kelvin H. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (02) :422-427
[10]   Effect of chemistry-aerosol-climate coupling on predictions of future climate and future levels of tropospheric ozone and aerosols [J].
Liao, Hong ;
Zhang, Ying ;
Chen, Wei-Ting ;
Raes, Frank ;
Seinfeld, John H. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2009, 114