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北京市夏秋季大气PM2.5浓度与气象要素的相关性

曾静1,2,王美娥2**,张红星2   

  1. (1中国科学院亚热带农业生态过程重点实验室, 长沙 410128; 2中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085)
  • 出版日期:2014-09-18 发布日期:2014-09-18

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

ZENG Jing1,2, WANG Mei-e2, ZHANG Hong-xing2   

  1. (1Key Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410128, China; 2State Key Laboratory of Urban and Regional Ecology, Research Center for EcoEnvironmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)
  • Online:2014-09-18 Published:2014-09-18

摘要:

基于北京市城市生态系统研究站2008、2009年7月1日—10月31日大气PM2.5浓度及气温、相对湿度、风速、水汽压、大气压和风向等6类气象要素资料,分析北京市夏秋季大气PM2.5浓度与气象要素的相关性.结果表明: 在所分析的18周内,PM2.5浓度在每周内的变化幅度较小.PM2.5周平均浓度大致呈现出每6周为一个变化周期.其中,后6周最高、前6周次之、中间6周最低.PM2.5周平均浓度与6种气象要素存在不同程度的相关关系,其中与水汽压的相关性最强,可通过水汽压预测北京市7月和8月的PM2.5周平均浓度.研究结果可为分析和控制北京市大气PM2.5污染源提供重要的科学依据.
 

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 July 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.