文献类型：期刊文献

中文题名：北京城6区大气颗粒物质量浓度变化规律研究

英文题名：On the mass concentration variations of the particulate matters in the six downtown districts of Beijing

作者：刘杰[1,2];杨鹏[3,4];吕文生[4];刘阿古达木[4];刘俊秀[3]

第一作者：刘杰

机构：[1]昆明理工大学国土资源工程学院;[2]昆明理工大学矿业工程博士后科研流动站;[3]北京市信息服务工程重点实验室(北京联合大学);[4]北京科技大学土木与环境工程学院

第一机构：昆明理工大学国土资源工程学院,昆明650093

年份：2015

卷号：15

期号：6

起止页码：333-339

中文期刊名：安全与环境学报

外文期刊名：Journal of Safety and Environment

收录：CSTPCD;;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：北京市属高等学校高层次人才引进与培养--"长城学者"培养计划项目(CIT&TCD20130320)

语种：中文

中文关键词：环境学;大气颗粒物;PM(2.5);PM(10);频数分布;相关性分析;逐时变化

外文关键词：environmentalology; particulate matter; PM（2.5）; PM（10）; frequency distribution; correlation analysis; hourly variation

摘要：为较好地了解当前北京城6区大气颗粒物PM_(2.5)和PM_(10)质量浓度的污染水平及变化规律,根据2013年3月11日至2014年2月28日城6区12个空气质量实时监测点连续、实时的监测结果,构建多点位、完整时间序列的颗粒物质量浓度数据资料。应用数理统计分析手段,对当前北京城6区大气颗粒物质量浓度的频数分布、相关性和逐时变化特征进行分析,并结合全年实际气象特征,对引起大气颗粒物质量浓度变化的因素进行了初步探讨。结果表明,2013年3月至2014年2月北京城6区大气颗粒物污染较为严重,且PM_(2.5)和PM_(10)质量浓度具有特别显著的线性相关关系,全年相关系数达0.9,10年间无显著变化;二者年均值达91.7μg/m^3和116.9μg/m^3,分别超标162%和67%;二者质量浓度比达78.4%,10年间同比增长约20%。颗粒物质量浓度逐时变化受季节变化影响明显,总体呈现夜间最高、白天最低的趋势,变化周期为7~9 h。研究表明,影响颗粒物质量浓度变化的因素包括春季的大风和生物粒子、夏季的湿热和降雨、秋季和冬季的逆温现象和降雪等气象因素及规律性的人为源因素。
The paper is engaged in a study on the mass concentration variations of the particulate matters（PM（2.5（and PM（10）） in the six downtown districts of Beijing.As a matter of fact,particulate matters（PM（2.5） and PM（10）） can be regarded as the main pollutants influencing the urban environment and human health of the capital area.The air quality of Beijing is mainly determined by the pollution level of such particulate matters for the time being.In order to characterize the concentration variations of particulate matters and their pollution level in the downtown of Beijing,we have accumulated the comprehensive temperal series data by means of multi-point real time monitoring system based on the 12 stations in the 6 districts of Beijing from 11 March 2013 to 28 February 2014.And,then,we have analyzed the situations of the frequency distribution,correlation and hourly variation regularity of particulate matters in the aforementioned districts with the mathematical statistics method.In addition,combined with the actual meteorological characteristics from 2013 to 2014,we have also discussed the major factors affecting the mass concentrations of such particulate matters.The results of our analysis show thal the pollution caused by the particulate matters in the said 6 districts of Beijing during the period remains serious during the said period.The linear correlation of the mass concentrations between PM（2.5） and PM（10）proves significant with no significant variations of the annual correlation coefficient（0.9） during the last decade.In accordance with the statistics we have done,the annual average value of PM（2.5） and PM（10）turns out to be 91.7μg·m^（-3） and 116.9μg·m^（-3）,or in terms of over standard rate being 162%and 67%,respectively.Or,in other words,the mass concentration ratio accounts for 78.4%with the increase rate of about 20%during the last decade.The hourly variations of the mass concentrations of particulates matters is obviously influenced by season,the pollution status in-situ presented lower during the day hours and higher at night in a cycle length of 7-9 hours.Thus,from the above preliminary analysis results,it can be seen that the influential factors of the mass concentration variations of the particulate matters are the meteorological factors,including the wind and biological particulates in spring,muggy and rainy phenomena in summer,the temperature inversion and snowy phenomena in autumn and winter,plus the regular artificial interference factors.Therefore,what we have analyzed and concluded can be taken as the starting point for further exploration of the evolutionary regularity of the particulate matters and air pollution control measures under the governance of the municipality leading departments.