1,259
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Spatiotemporal patterns of PM2.5 in the Beijing–Tianjin–Hebei region during 2013–2016

, &
Pages 95-103 | Received 21 Nov 2016, Accepted 10 Mar 2017, Published online: 03 Jul 2017

References

  • Cai, S., Wang, Y., & Zhao, B. (2016). The impact of the “Air Pollution Prevention and Control Action Plan” on PM2.5 concentrations in Jing-Jin-Ji region during 2012–2020. Science of the Total Environment, 580, 197–209.
  • Chang, L., Xu, J., & Tie, X. (2016). Impact of the 2015 El Nino event on winter air quality in China. Scientific Reports, 6, 34275.10.1038/srep34275
  • Chen, H., Li, J., & Ge, B. (2015a). Modeling study of source contributions and emergency control effects during a severe haze episode over the Beijing–Tianjin–Hebei area. Science China Chemistry, 58, 1403–1415.10.1007/s11426-015-5458-y
  • Chen, J.F., Chai, R.R., & Yan, H. (2015b). PM2.5 pollution source diffusion law and simulation analysis based on the gauss plume model. Systems Engineering,, 153–158.
  • Chen, Z., Cai, J., & Gao, B., (2017). Detecting the causality influence of individual meteorological factors on local PM2.5concentration in the Jing-Jin-Ji region. Scientific Reports, 7, 40735.
  • Environmental Protection Department. (2015, February 2). The air quality condition of key area and 74 cities in China in 2014. Retrieved from http://www.zhb.gov.cn/gkml/hbb/qt/201502/t20150202_295333.htm
  • Han, L., Zhou, W., & Li, W. (2016). Fine particulate (PM2.5) dynamics during rapid urbanization in Beijing, 1973–2013. Scientific Reports, 6, 23604.
  • Hu, J., Wang, Y., & Ying, Q. (2014). Spatial and temporal variability of PM 2.5, and PM 10, over the North China Plain and the Yangtze River Delta, China. Atmospheric Environment, 95, 598–609.10.1016/j.atmosenv.2014.07.019
  • Hua, Y., Cheng, Z., & Wang, S. (2015). Characteristics and source apportionment of PM 2.5, during a fall heavy haze episode in the Yangtze River Delta of China. Atmospheric Environment, 123, 380–391.10.1016/j.atmosenv.2015.03.046
  • Li, M.S., Ren, X.X., & Yu, Y. (2016). Spatiotemporal pattern of ground-level fine particulate matter (PM2.5) pollution in mainland China. China Environmental Science, 2016, 641–650.
  • Li, X., Zhang, Q., & Zhang, Y. (2015a). Source contributions of urban PM 2.5, in the Beijing–Tianjin–Hebei region: Changes between 2006 and 2013 and relative impacts of emissions and meteorology. Atmospheric Environment, 123, 229–239.10.1016/j.atmosenv.2015.10.048
  • Li, Y., Chen, Q., & Zhao, H. (2015b). Variations in PM10, PM2.5 and PM1.0 in an urban area of the sichuan basin and their relation to meteorological factors. Atmosphere, 6, 150–163.10.3390/atmos6010150
  • Liao, T., Shan, W., & Jie, A., (2017). Heavy pollution episodes, transport pathways and potential sources of PM 2.5, during the winter of 2013 in Chengdu (China). Science of the Total Environment, 584–585, 1056–1065.
  • Liu, G., Bi, R., & Wang, S. (2013). The use of spatial autocorrelation analysis to identify PAHs pollution hotspots at an industrially contaminated site. Environmental Monitoring & Assessment, 185, 9549–9558.10.1007/s10661-013-3272-6
  • Luo, J., Du, P., & Samat, A., (2017). Spatiotemporal pattern of PM2.5 concentrations in mainland china and analysis of its influencing factors using geographically weighted regression. Scientific Reports, 7, 40607.
  • Ramos, Y., St-Onge, B., & Blanchet, J.P. (2015). Spatio-temporal models to estimate daily concentrations of fine particulate matter in Montreal: Kriging with external drift and inverse distance-weighted approaches. Journal of Exposure Science & Environmental Epidemiology, 26, 405–414.
  • Tan, Q., & Xu, X. (2014). Comparative analysis of spatial interpolation methods: An experimental study. Sensors & Transducers, 165, 155–163.
  • Wang, J., Wang, S., Voorhees, A S, Zhao, B., Jang, C., Jiang, J., … Hao, J. (2015). Assessment of short-term PM 2.5 -related mortality due to different emission sources in the Yangtze River Delta, China. Atmospheric Environment, 123, 440–448.10.1016/j.atmosenv.2015.05.060
  • Wang, L., Xu, J., & Yang, J. (2012). Understanding haze pollution over the southern Hebei area of China using the CMAQ model. Atmospheric Environment, 56, 69–79.10.1016/j.atmosenv.2012.04.013
  • Wang, Y., Ying, Q., & Hu, J. (2014). Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013–2014. Environment International, 73, 413–422.10.1016/j.envint.2014.08.016
  • Wei, W., Wang, L.T., & Pan, X.M. (2013). Simulation study of Haze pollution sources in cities of Hebei Province. Environmental Science & Technology, 2, 24.
  • Xu, H., Ho, S.S., & Cao, J., (2017). A 10-year observation of PM2.5-bound nickel in Xi’an, China: Effects of source control on its trend and associated health risks, Scientific Reports, 7, 41132.
  • Yale University. (2016). Global metrics for the environment: The 2016 environmental performance index. Retrieved from http://epi.yale.edu/downloads
  • Zhang, A., Qi, Q., & Jiang, L. (2013). Population exposure to PM2.5 in the urban area of Beijing. PLoS One, 8(5), e63486.10.1371/journal.pone.0063486
  • Zhang, H., Wang, Z., & Zhang, W. (2016). Exploring spatiotemporal patterns of PM 2.5, in China based on ground-level observations for 190 cities. Environmental Pollution, 216, 559–567.10.1016/j.envpol.2016.06.009
  • Zhongzhi, Z., Wenxing, W., & Miaomiao, C. (2017). The contribution of residential coal combustion to PM 2.5, pollution over China’s Beijing–Tianjin–Hebei region in winter. Atmospheric Environment, 159, 147–167. doi:10.1016/j.atmosenv.2017.03.054