Transport characteristics and origins of carbon monoxide and ozone in Hong Kong, South China

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Abstract

Transport characteristics and origins of carbonmonoxide (CO) and ozone (O 3) transported to Hong Kong were investigated using backward Lagrangian particle dispersion modeling (LPDM) and measurement data collected at a regional background station, Hok Tsui, in South China during 2005-2007. LPDM was conducted using the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT) driven by Global Data Assimilation System (GDAS) data and emission inventories of CO. The LPDM simulations showed very good performance in characterizing temporal variations in CO on both seasonal and synoptic scales during the 3 years. Based on the LPDM simulations, the seasonal cycles of the source origins and transport age of CO were investigated. Carbon monoxide at the background station was found to originate mainly from the coastal regions in southern China and from eastern China, with averaged transport time of about 1 day and 2-4 days, respectively. The O 3 annual maximum in autumn was influenced by regional transport of O 3 precursors originating from eastern China, suggesting a strong continental outflow and its regional impacts. Photochemical processes contributed to occurrence of O 3 episodes with sharp daytime O 3 peaks produced from fresh subregional emissions from Hong Kong and the Pearl River Delta region, mixed with inland continental air. By examining the O 3 -CO relationship and Lagrangian transport time, the roles of transport and photochemical processes in different seasons at Hok Tsui were also investigated. This study demonstrated unique applications of backward LPDM in observational data analysis as well as in understanding source-receptor relationships and multiscale transport of CO and O 3. © 2013. Her Majesty the Queen in Right of Canada. American Geophysical Union.

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Ding, A., Wang, T., & Fu, C. (2013). Transport characteristics and origins of carbon monoxide and ozone in Hong Kong, South China. Journal of Geophysical Research Atmospheres, 118(16), 9475–9488. https://doi.org/10.1002/jgrd.50714

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