KEYWORDS: Aerosols, Atmospheric modeling, Data modeling, Pollution, Atmospheric particles, Air contamination, 3D modeling, Scattering, Particles, Refractive index
Hong Kong, a commercial and financial city located in south-east China has suffered serious air pollution for the last
decade due largely to rapid urban and industrial expansion of the cities of mainland China. However, the potential
sources and pathways of aerosols transported to Hong Kong have not been well researched due to the lack of air quality
monitoring stations in southern China. Here, an integrated method combining the AErosol RObotic NETwork
(AERONET) data, trajectory and Potential Source Contribution Function (PSCF) modeling is used to identify the
potential transport pathways and contribution of sources from four characteristic aerosol types. Four characteristic
aerosol types were defined using a total of 730 AERONET data measurements between 2005 and 2008. They are coastal
urban, polluted urban, dust (likely to be long distance desert dust), and heavy pollution. Results show that the sources of
polluted urban and heavy pollution are associated with industrial emissions in southern China, whereas coastal urban
aerosols have been affected both from natural marine aerosol and emissions. The PSCF map of dust shows a wide range
of pathways followed by east- and south-eastwards trajectories from northwest China to Hong Kong. Although the
contribution from dust sources is small compared to the anthropogenic aerosols, a serious recent dust outbreak has been
observed in Hong Kong with an elevation of the Air Pollution Index to 500, compared with 50-100 on normal days.
Therefore, the combined use of clustered AERONET data, trajectory and the PSCF models can help to resolve the longstanding
issue about source regions and characteristics of pollutants carried to Hong Kong.
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