Identification and spatiotemporal variations of dominant PM10 sources over Hong Kong
Identification and spatiotemporal variations of dominant PM10 sources over Hong Kong
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DOI：
10.1016/j.atmosenv.2005.11.030
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发表时间：
2006-03-01
影响因子：
5
通讯作者：
Fung, JCH
中科院分区：
文献类型：
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作者：
Yuan, ZB;Lau, AKH;Fung, JCH
我们在这里报告的应用程序的两个先进的受体模型，Uninix和正矩阵因子分解（PMF），在香港（HK）的来源识别使用的化学成分测量从1998年7月至2002年12月的监测网络的PM10。Unmix和PMF分别从包括所有监测站的综合数据集中确定了7个和9个来源。根据源剖面中组分丰度及其时空特征确定源类别。整体而言，二次硫酸盐和本地车辆排放物对香港PM10的贡献最大（各占25%），其次是二次硝酸盐（12%）。其他来源类型的贡献低于10%。还进行了分析，以帮助推断本地和区域来源对PM10质量贡献的季节性变化。我们发现，区域来源占约60%的环境PM10质量在每年的基础上，甚至更高（70%）在冬季，这表明区域空气质量管理策略是重要的。另一方面，不少对健康有重大影响的品种均在本地生产，显示本地的管制措施应继续或什至加强，以更有效保障香港的公众健康。(c)2005爱思唯尔有限公司保留所有权利。
We report here an application of two advanced receptor models, Uninix and positive matrix factorization (PMF), for source identification of PM10 in Hong Kong (HK) using chemical composition measurements from a monitoring network between July 1998 and December 2002. Seven and nine sources were identified by Unmix and PMF, respectively, from a combined dataset including all monitoring stations. Source categories were determined based on both component abundances in the source profiles and their temporal and spatial characteristics. Overall, secondary sulfate and local vehicle emissions gave the largest contribution to PM10 in HK (25% each), followed by secondary nitrate (12%). Contributions from other source types were below 10%. Analyses were also carried out to help infer the seasonal variations in the contributions of local and regional sources to the PM10 mass. We found that regional sources accounted for about 60% of the ambient PM10 mass on an annual basis, and even higher (70%) during winter, suggesting that regional air quality management strategies are important. On the other hand, many species with significant adverse health impact were produced locally, suggesting that local control measures should be continued or even strengthened for better protection of public health in HK. (c) 2005 Elsevier Ltd. All rights reserved.