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.
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.
出处
《应用生态学报》
CAS
CSCD
北大核心
2014年第9期2695-2699,共5页
Chinese Journal of Applied Ecology
基金
国家自然科学基金重点项目(41030744)资助
关键词
PM2.5
气象要素
夏秋季
预测
北京
PM2.5
meteorological factor
summer and autumn
prediction
Beijing.
