引用本文:司徒淑娉,吴洛林,周柳艺,张毅强,邓思欣,安丽娜.佛山市PM2.5污染特征及诱发其高污染过程天气系统分析[J].环境监控与预警,2017,9(4):40-44
ITU Shu ping, WU Luo lin, ZHOU Liu yi, ZHANG Yi qiang, DENG Si xin, AN Li na.Analysis on Pollution Properties of PM2.5in Foshan City and the Inducing Weather Systems[J].Environmental Monitoring and Forewarning,2017,9(4):40-44
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佛山市PM2.5污染特征及诱发其高污染过程天气系统分析
司徒淑娉,吴洛林,周柳艺,张毅强,邓思欣,安丽娜1,2,3
1.佛山市环境监测中心站,广东 佛山 528000;2. 中山大学,广东 广州 510000;3. 华南环境科学研究所,广东 广州 510000
摘要:
利用2013年佛山市8个国控大气自动监测站点ρ(PM2.5)监测数据,分析佛山市PM2.5污染的时空分布特征,并诊断诱发PM2.5高污染过程的关键天气类型。结果表明,佛山市2013年PM2.5年均值为53 μg/m3,高于国家二级标准,污染主要集中在三水区中部、南海区中部和禅城区北部。佛山市ρ(PM2.5)表现出明显的季节变化和日变化特征,秋、冬季是PM2.5的高污染季节,其值夜间略高于白天,呈典型的双峰型分布,08:00—09:00短暂出现一个浓度的小峰值,推测与上班交通高峰有关。对PM2.5持续高污染发生的地面天气形势分析表明,高压出海是诱发佛山市PM2.5高污染事件最主要的天气类型。
关键词:  可入肺颗粒物  污染特征  天气系统  佛山市
DOI:
分类号:X513
文献标识码:B
基金项目:佛山市科学技术局基金资助项目(2015AB004371)
Analysis on Pollution Properties of PM2.5in Foshan City and the Inducing Weather Systems
ITU Shuping, WU Luolin, ZHOU Liuyi, ZHANG Yiqiang, DENG Sixin, AN Lina1,2,3
1. Foshan Environmental Monitoring Central Station, Foshan, Guangdong 528000, China;2. Sun Yatsen University, Guangzhou, Guangdong 510000, China;3. South China Institute of Environmental Science. MEP, Guangzhou,Guangdong 510000, China
Abstract:
Based on the concentrations of ρ(PM2.5) automatically measured at the 8 national air quality automatic measuring sites, the properties of PM2.5 spatial and temporal distributions were analyzed, and the key weather systems inducing the high PM2.5 episodes were diagnosed. The results showed that the annual average concentration of PM2.5 was high, which was 53 μg/m3,exceeding the second grade limit of the national standards. The obvious pollution zone of ρPM2.5) was in the middle of Sanshui, the middle of Nanhai and the north of Chancheng. The varies of PM2.5 in Foshan show distinct seasonal and diurnal variation. Episodes usually happened in autumn and winter, while the concentration at night usually higher than that in daytime. A remarkable concentration peak was observed at 08:00—09:00 am, which may related to the traffic. Meanwhile, the results indicated that most of the PM2.5 episodes were induced by the movement of a degraded cold high pressure system.
Key words:  PM2.5  Pollution properties  Weather systems  Foshan