Relevance Analysis on the Variety Characteristics of PM2.5 Concentrations in Beijing, China

被引:11
|
作者
Zhai, Binxu [1 ,2 ]
Chen, Jianguo [1 ,2 ]
Yin, Wenwen [1 ,2 ]
Huang, Zhongliang [1 ,2 ]
机构
[1] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Beijing Key Lab City Integrated Emergency Respons, Beijing 100084, Peoples R China
基金
美国国家科学基金会;
关键词
relevance analysis; spatial and temporal distribution characteristics; PM2; 5; Beijing; AIR-POLLUTION; REGIONAL TRANSPORT; NORTH CHINA; SEVERE HAZE; AEROSOL CHARACTERISTICS; SOURCE APPORTIONMENT; WINTER HAZE; IMPACT; PM10; METEOROLOGY;
D O I
10.3390/su10093228
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Air pollution has become one of the most serious environmental problems in the world. Considering Beijing and six surrounding cities as main research areas, this study takes the daily average pollutant concentrations and meteorological factors from 2 December 2013 to 30 June 2017 into account and studies the spatial and temporal distribution characteristics and the relevant relationship of particulate matter smaller than 2.5 m (PM2.5) concentrations in Beijing. Based on correlation analysis and geo-statistics techniques, the inter-annual, seasonal, and diurnal variation trends and temporal spatial distribution characteristics of PM2.5 concentration in Beijing are studied. The study results demonstrate that the pollutant concentrations in Beijing exhibit obvious seasonal and cyclical fluctuation patterns. Air pollution is more serious in winter and spring and slightly better in summer and autumn, with the spatial distribution of pollutants fluctuating dramatically in different seasons. The pollution in southern Beijing areas is more serious and the air quality in northern areas is better in general. The diurnal variation of air quality shows a typical seasonal difference and the daily variation of PM2.5 concentrations present a W type of mode with twin peaks. Besides emission and accumulation of local pollutants, air quality is easily affected by the transport effect from the southwest. The PM2.5 and PM10 concentrations measured from the city of Langfang are taken as the most important factors of surrounding pollution factors to PM2.5 in Beijing. The concentrations of PM10 and carbon monoxide (CO) concentrations in Beijing are the most significant local influencing factors to PM2.5 in Beijing. Extreme wind speeds and maximal wind speeds are considered to be the most significant meteorological factors affecting the transport of pollutants across the region. When the wind direction is weak southwest wind, the probability of air pollution is greater and when the wind direction is north, the air quality is generally better.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] MAIAC AOD and PM2.5 Mass Concentrations Characteristics and Correlation Analysis in Beijing-Tianjin-Hebei and Surrounding Areas
    Jin, Jian-Nan
    Yang, Xing-Chuan
    Yan, Xing
    Zhao, Wen-Ji
    [J]. Huanjing Kexue/Environmental Science, 2021, 42 (06): : 2604 - 2615
  • [42] Ratio of PM2.5 to PM10 Mass Concentrations in Beijing and Relationships with Pollution from the North China Plain
    Zhigang Li
    Xin Yang
    Chuanfeng Zhao
    Tianyi Fan
    [J]. Asia-Pacific Journal of Atmospheric Sciences, 2021, 57 : 421 - 434
  • [43] Ratio of PM2.5 to PM10 Mass Concentrations in Beijing and Relationships with Pollution from the North China Plain
    Li, Zhigang
    Yang, Xin
    Zhao, Chuanfeng
    Fan, Tianyi
    [J]. ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2021, 57 (03) : 421 - 434
  • [44] Characteristics and sources of formic, acetic and oxalic acids in PM2.5 and PM10 aerosols in Beijing, China
    Wang, Ying
    Zhuang, Guoshun
    Chen, Shuang
    An, Zhisheng
    Zheng, Aihua
    [J]. ATMOSPHERIC RESEARCH, 2007, 84 (02) : 169 - 181
  • [45] Instrumental neutron activation analysis of extractable organohalogens in PM2.5 and PM10 in Beijing, China
    Xu, Diandou
    Dan, Mo
    Song, Yan
    Chai, Zhifang
    Zhuang, Guoshun
    [J]. JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY, 2007, 271 (01) : 115 - 118
  • [46] Instrumental neutron activation analysis of extractable organohalogens in PM2.5 and PM10 in Beijing, China
    Diandou Xu
    Mo Dan
    Yan Song
    Zhifang Chai
    Guoshun Zhuang
    [J]. Journal of Radioanalytical and Nuclear Chemistry, 2007, 271 : 115 - 118
  • [47] Development of a stacked ensemble model for forecasting and analyzing daily average PM2.5 concentrations in Beijing, China
    Zhai, Binxu
    Chen, Jianguo
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 635 : 644 - 658
  • [48] Concentrations and Seasonal Variation of Ambient PM2.5 and Associated Metals at a Typical Residential Area in Beijing, China
    Jing Yang
    Qiang Fu
    Xiaoshuang Guo
    Baolin Chu
    Yawei Yao
    Yanguo Teng
    Yeyao Wang
    [J]. Bulletin of Environmental Contamination and Toxicology, 2015, 94 : 232 - 239
  • [49] Seasonal prediction of daily PM2.5 concentrations with interpretable machine learning: a case study of Beijing, China
    Yafei Wu
    Shaowu Lin
    Kewei Shi
    Zirong Ye
    Ya Fang
    [J]. Environmental Science and Pollution Research, 2022, 29 : 45821 - 45836
  • [50] Concentrations and Seasonal Variation of Ambient PM2.5 and Associated Metals at a Typical Residential Area in Beijing, China
    Yang, Jing
    Fu, Qiang
    Guo, Xiaoshuang
    Chu, Baolin
    Yao, Yawei
    Teng, Yanguo
    Wang, Yeyao
    [J]. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2015, 94 (02) : 232 - 239