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[中国北京夏秋季节大气细颗粒物(PM2.5)浓度与气象因子的相关性]

[Correlation between atmospheric PM2.5 concentration and meteorological factors during summer and autumn in Beijing, China].

作者信息

Zeng Jing, Wang Mei-E, Zhang Hong-Xing

出版信息

Ying Yong Sheng Tai Xue Bao. 2014 Sep;25(9):2695-9.

Abstract

Based on the monitoring data from 1st July to 31th October, 2008 and 2009 at the Beijing urban ecosystem research station, correlations between PM2.5 concentration and 6 meteorological factors were analyzed, including temperature, relative humidity, wind speed, vapour pressure, atmospheric pressure and wind direction. Main results showed that the dynamics of PM2.5 concentration displayed an obvious fluctuation cycle every 6 weeks, while few changes happened within one week. The highest variation in weekly average of PM2.5 concentration happened during the third 6 weeks, followed by the first 6 weeks, and the lowest variation occurred in the second 6 weeks. Correlation analysis suggested that the weekly average of PM2.5 concentration was significantly correlated with all the 6 meteorological factors, and its correlation with the vapour pressure was the greatest. Results presented in this study confirmed that the weekly average of PM2.5 concentration between Ju- ly and August in Beijing could be estimated by the vapour pressure. The research would benefit the analysis and regulation of the pollution source of PM2.5 in Beijing.

摘要

基于2008年和2009年7月1日至10月31日在北京城市生态系统研究站的监测数据,分析了PM2.5浓度与6个气象因子之间的相关性,这6个气象因子包括温度、相对湿度、风速、水汽压、气压和风向。主要结果表明,PM2.5浓度动态每6周呈现一个明显的波动周期,而在一周内变化较小。PM2.5浓度周平均值的最大变化发生在第3个6周,其次是第1个6周,最小变化发生在第2个6周。相关性分析表明,PM2.5浓度周平均值与所有6个气象因子均显著相关,其中与水汽压的相关性最大。本研究结果证实,北京7月至8月的PM2.5浓度周平均值可以用水汽压来估算。该研究将有助于北京PM2.5污染源的分析和调控。

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