Hui Ding1,2,3, Yonghong Liu1,2,3, Zhi Yu 1,2,3, Ching Cheung4, Juanming Zhan1,2

  • 1 School of Engineering, Sun Yat-Sen University, Guangzhou 510275, China
  • 2 Guangdong Provincial Engineering Research Center for Traffic Monitoring and Control, Guangzhou 510275, China
  • 3 Guangdong Provincial Key Laboratory of ITS, Guangzhou 510275, China
  • 4 Environmental Protection Department, Wanchai, Hong Kong

Received: October 13, 2016
Revised: March 9, 2017
Accepted: March 16, 2017
Download Citation: ||https://doi.org/10.4209/aaqr.2016.09.0412  

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Cite this article:
Ding, H., Liu, Y., Yu, Z., Cheung, C. and Zhan, J. (2017). Spatial and Temporal Characteristics and Main Contributing Regions of High PM2.5 Pollution in Hong Kong. Aerosol Air Qual. Res. 17: 2955-2965. https://doi.org/10.4209/aaqr.2016.09.0412


HIGHLIGHTS

  • The characteristics of high PM2.5 pollution in Hong Kong were explored.
  • Disaggregating the contributions of local and regional for high PM2.5 episodes.
  • The main contributing regions to high PM2.5 episodes were identified.

 

ABSTRACT


Fine particulate matter (PM2.5) pollution episodes occur frequently in most Chinese metropolises. Because Hong Kong is affected by the East Asian monsoon, its high PM2.5 pollution is potentially contributed to by a combination of local and regional emissions. This study identified the spatial and temporal characteristics and contributing regions of PM2.5 pollution episodes in Hong Kong. We analyzed the hourly monitoring data collected at various monitoring stations in Hong Kong for the year 2014 in addition to spatial distributions of PM2.5 in China in the days preceding high pollution episodes, and we identified the spatial and temporal characteristics of high PM2.5 pollution in Hong Kong. The relative contributions of local and regional sources to high PM2.5 episodes were then quantified. Finally, backward trajectories of air masses arriving in Hong Kong during high PM2.5 episodes were generated to determine the main contributing regions. The results indicated that PM2.5 levels were higher in the northwestern and southeastern parts of Hong Kong and the Yuen Long station observed the most serious pollution, with a highest daily average PM2.5 concentration of 118 µg m–3; other areas noted relatively lower concentrations, with maximum daily average concentrations less than 100 µg m–3. Regional sources accounted for almost 70% of the PM2.5 pollution and were mostly from the northern and northeastern areas of Hong Kong. Six main contributing regions were identified: the northern region of Guangdong province, Henan–Shandong, the Yangtze River Delta, Jiangxi, Fujian, and Anhui-Hubei. Among these, Guangdong province contributed the highest proportion of the pollution. Because PM2.5 is a major air pollutant in Hong Kong, the findings of this study will be useful for forecasting PM2.5 pollution episodes. Moreover, the developed methodology can be extended to other pollutants if their characteristics and main contributing regions can be identified.


Keywords: PM2.5 pollution; Regional transport; Hong Kong; Source region


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