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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摘要: |
利用2013年佛山市8个国控大气自动监测站点ρ(PM<sub>2.5</sub>)监测数据,分析佛山市PM<sub>2.5</sub>污染的时空分布特征,并诊断诱发PM<sub>2.5</sub>高污染过程的关键天气类型。结果表明,佛山市2013年PM<sub>2.5</sub>年均值为53 μg/m<sup>3</sup>,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(PM<sub>2.5</sub>)表现出明显的季节变化和日变化特征,秋、冬季是PM<sub>2.5</sub>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PM<sub>2.5</sub>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PM<sub>2.5</sub>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) |
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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 na
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Abstract: |
Based on the concentrations of ρ(PM<sub>2.5</sub>) automatically measured at the 8 national air quality automatic measuring sites, the properties of PM<sub>2.5</sub> spatial and temporal distributions were analyzed, and the key weather systems inducing the high PM<sub>2.5</sub> episodes were diagnosed. The results showed that the annual average concentration of PM<sub>2.5</sub> was high, which was 53 μg/m<sup>3</sup>,exceeding the second grade limit of the national standards. The obvious pollution zone of ρPM<sub>2.5</sub>) was in the middle of Sanshui, the middle of Nanhai and the north of Chancheng. The varies of PM<sub>2.5</sub> 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 PM<sub>2.5</sub> episodes were induced by the movement of a degraded cold high pressure system. |
Key words: PM2.5 Pollution properties Weather systems Foshan |