Source analysis of high particulate matter days in Hong Kong |
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| Authors: | Xiao-Feng Huang Jian Zhen Yu Zibing Yuan Alexis KH Lau Peter KK Louie |
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| Institution: | 1. State Key Laboratory of Coal Resources and Safe Mining, and College of Geoscience and Survey Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China;2. Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China;3. Faculty of Environmental and Symbiotic Sciences, Prefectural University of Kumamoto, Kumamoto 862-8502, Japan;4. School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen 518055, China;5. State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;1. State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;2. Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China;3. Beijing Innovation Center for Engineering Sciences and Advanced Technology, Peking University, Beijing 100871, China;1. Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong;2. Department of Geography and Resource Management, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong;3. Centre for Environmental Policy and Resource Management, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong |
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| Abstract: | This study identifies major contributing sources of high particulate matter (PM) days in Hong Kong and conducive meteorological conditions leading to high PM. The PM10 chemical composition of 3393 ambient samples collected at ten monitoring stations in Hong Kong during 1998–2005 were used as input for positive matrix factorization (PMF) modeling to identify and quantify the aerosol sources in Hong Kong. Days with PM10 levels exceeding 56 μg m?3, the average plus one standard deviation of the mass concentration of all samples, are defined as high PM days. A total of 401 samples fell in the high PM category during the study period. Biomass burning, secondary sulfate and secondary nitrate were found to be the major contributors leading to high PM, responsible for 68–73% of PM10 mass on high PM days. The contributions by these sources on high PM days were 140–180% higher than their respective average concentration contributions. These sources were identified to be regional sources on the grounds of little spatial variation in their concentrations among the monitoring stations and a temporal pattern of higher in the winter and lower in the summer. Sampling days of high PM in 2004 and 2005 were individually examined for weather charts and regional surface wind maps. Weak high pressures over mainland China were the most important synoptic event leading to high PM days in the fall and winter, while typhoon episodes were responsible for most summer cases. Approximately 80% of the high PM days were in the fall and winter months (September–February). Almost all the high PM days were associated with northwesterly, northerly or northeasterly regional transport. Anthropogenic primary sources (coal combustion, vehicular exhaust, and residue oil combustion) showed the highest contributions associated with northwesterly wind, indicating the strong influence of the more urbanized areas to the northwest of Hong Kong in the Pearl River Delta region. |
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