Weather Condition Dominates Regional PM2.5 Pollutions in the Eastern Coastal Provinces of China during Winter

被引:27
作者
Cai, Zhe [1 ,4 ]
Jiang, Fei [1 ,3 ]
Chen, Jingming [1 ,2 ]
Jiang, Ziqiang [1 ]
Wang, Xiaoyuan [5 ]
机构
[1] Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China
[2] Univ Toronto, Dept Geog, Toronto, ON M5S 3G3, Canada
[3] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
[4] Jinan Meteorol Bur, Jinan 250102, Shandong, Peoples R China
[5] Zhejiang Environm Monitoring Ctr, Hangzhou 310015, Zhejiang, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金; 国家重点研发计划;
关键词
Weather condition; Regional PM2.5 pollution; China eastern coastal provinces; YANGTZE-RIVER DELTA; FOSSIL-FUEL COMBUSTION; HEAVY HAZE EVENTS; NORTH CHINA; AIR-QUALITY; SOURCE APPORTIONMENT; SYNOPTIC WEATHER; AEROSOL; IMPACT; EPISODE;
D O I
10.4209/aaqr.2017.04.0140
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China has suffered from severe particulate matter (PM) pollution in recent years. Both pollution areas and levels are increasing gradually. The PM pollution episodes not only occur in the traditional developed areas like the Yangtze River Delta (YRD) and the Beijing-Tianjin-Hebei (BTH) region, but also frequently happen in the eastern coastal provinces (ECPs) of China. Based on hourly fine-PM (PM2.5) concentrations during December 2013 to February 2014 of 55 cities located in the ECPs, we investigated the spatial and temporal variabilities of PM2.5 concentration and the corresponding meteorological conditions during winter. The results generally showed that the winter mean concentrations over all ECPs exceeded China's national standard of 75 mu g m(-3), and the most polluted areas with mean concentrations exceeding 150 mu g m(-3) were in the southwest of Hebei and the west of Shandong Province. The PM2.5 concentrations in February were lower than December in most areas, especially in the YRD, but they were higher over the north of Hebei Province. The spatial distributions and monthly variations were strongly related to weather conditions. Overall, severe PM pollution corresponded with stable weather conditions: small Sea Level Pressure gradient, lower Planetary Boundary Layer (PBL) height and weaker winds. Statistics showed that the changes of the mean PM2.5 concentration over the ECP region lagged behind the variations in the PBL height and wind speeds by about 12-18 h, and the variations in weather conditions could explain about 71% (R-2) of the overall changes in PM2.5 concentrations, indicating that regional PM2.5 pollution was dominated by weather conditions in the ECPs. This study gives insight into the PM2.5 pollution in the ECPs of China during winter, which would be helpful to predict and control the PM2.5 pollution for this area in the future.
引用
收藏
页码:969 / 980
页数:12
相关论文
共 47 条
  • [31] A study on variations of concentrations of particulate matter with different sizes in Lanzhou, China
    Wang, Shigong
    Feng, Xinyuan
    Zeng, Xiaoqing
    Ma, Yuxia
    Shang, Kezheng
    [J]. ATMOSPHERIC ENVIRONMENT, 2009, 43 (17) : 2823 - 2828
  • [32] Urban air quality and regional haze weather forecast for Yangtze River Delta region
    Wang, Tijian
    Jiang, Fei
    Deng, Junjun
    Shen, Yi
    Fu, Qinyan
    Wang, Qian
    Fu, Yin
    Xu, Jianhua
    Zhang, Danning
    [J]. ATMOSPHERIC ENVIRONMENT, 2012, 58 : 70 - 83
  • [33] Aerosol physicochemical properties and implications for visibility during an intense haze episode during winter in Beijing
    Wang, Y. H.
    Liu, Z. R.
    Zhang, J. K.
    Hu, B.
    Ji, D. S.
    Yu, Y. C.
    Wang, Y. S.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2015, 15 (06) : 3205 - 3215
  • [34] Mechanism for the formation of the January 2013 heavy haze pollution episode over central and eastern China
    Wang YueSi
    Yao Li
    Wang LiLi
    Liu ZiRui
    Ji DongSheng
    Tang GuiQian
    Zhang JunKe
    Sun Yang
    Hu Bo
    Xin JinYuan
    [J]. SCIENCE CHINA-EARTH SCIENCES, 2014, 57 (01) : 14 - 25
  • [35] Enhanced sulfate formation during China's severe winter haze episode in January 2013 missing from current models
    Wang, Yuxuan
    Zhang, Qianqian
    Jiang, Jingkun
    Zhou, Wei
    Wang, Buying
    He, Kebin
    Duan, Fengkui
    Zhang, Qian
    Philip, Sajeev
    Xie, Yuanyu
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2014, 119 (17) : 10,425 - 10,440
  • [36] Long-term measurements of particle number size distributions and the relationships with air mass history and source apportionment in the summer of Beijing
    Wang, Z. B.
    Hu, M.
    Wu, Z. J.
    Yue, D. L.
    He, L. Y.
    Huang, X. F.
    Liu, X. G.
    Wiedensohler, A.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2013, 13 (20) : 10159 - 10170
  • [37] Estimation of the Main Factors Influencing Haze, Based on a Long-term Monitoring Campaign in Hangzhou, China
    Xiao, Zhi-mei
    Zhang, Yu-fen
    Hong, Sheng-mao
    Bi, Xiao-hui
    Jiao, Li
    Feng, Yin-chang
    Wang, Yu-qiu
    [J]. AEROSOL AND AIR QUALITY RESEARCH, 2011, 11 (07) : 873 - 882
  • [38] A time-stratified case-crossover study of fine particulate matter air pollution and mortality in Guangzhou, China
    Yang, Chunxue
    Peng, Xiaowu
    Huang, Wei
    Chen, Renjie
    Xu, Zhencheng
    Chen, Bingheng
    Kan, Haidong
    [J]. INTERNATIONAL ARCHIVES OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH, 2012, 85 (05) : 579 - 585
  • [39] Concentration and chemical composition of PM2.5 in Shanghai for a 1-year period
    Ye, BM
    Ji, XL
    Yang, HZ
    Yao, XH
    Chan, CK
    Cadle, SH
    Chan, T
    Mulawa, PA
    [J]. ATMOSPHERIC ENVIRONMENT, 2003, 37 (04) : 499 - 510
  • [40] Local and inter-regional contributions to PM2.5 nitrate and sulfate in China
    Ying, Qi
    Wu, Li
    Zhang, Hongliang
    [J]. ATMOSPHERIC ENVIRONMENT, 2014, 94 : 582 - 592