文献类型：期刊文献

中文题名：北京大气颗粒物污染特征及空间分布插值分析

英文题名：Pollution characteristics of particulate matter and interpolation analysis of its spatial distribution in the Beijing area

作者：刘杰[1];杨鹏[1,2];吕文生[1]

第一作者：刘杰

通讯作者：Yang, Peng

机构：[1]北京科技大学土木与环境工程学院;[2]北京联合大学北京市信息服务工程重点实验室

第一机构：北京科技大学土木与环境工程学院,北京100083

年份：2014

卷号：36

期号：9

起止页码：1269-1279

中文期刊名：北京科技大学学报

外文期刊名：Journal of University of Science and Technology Beijing

收录：CSTPCD;;EI(收录号：20144200103239);Scopus(收录号：2-s2.0-84907715313);北大核心:【北大核心2011】；CSCD:【CSCD2013_2014】；

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(基于无线传感器网络的城市空气质量实时监测系统研究)资助项目(CIT&TCD20130320)

语种：中文

中文关键词：大气污染;颗粒物;质量浓度;季节变化;区域分布;插值

外文关键词：atmospheric pollution;particulate matter;mass concentration;seasonal variation;regional distribution;interpolation

摘要：为较好地表征当前北京整个区域大气颗粒物质量浓度随时间尺度的变化及区域分布污染特征,根据北京市35个监测站点获得的2013年3—5月颗粒物质量浓度1 h均值,分析和研究PM_(2.5)和PM_(10)质量浓度的季节性变化并提高其空间分辨率,在此基础上探讨颗粒物可能的影响因素及污染来源.结果表明,3—5月颗粒物质量浓度具有周期性变化规律和显著相关性,应用MATLAB空间插值算法实现的颗粒物质量浓度区域分布图具有一定精度,可外推并揭示颗粒物区域污染特征.分析表明当前北京颗粒物污染的影响因素有冬末的冷锋和降雪、春季的沙尘和大风、夏初的降雨和湿热等;污染区域则呈现南高北低的特征,污染来源除了本地人为源以外,周边区域传输也有较大影响.通过颗粒物污染的时间序列和空间插值的结合分析,可为进一步研究颗粒物时空关系及掌握区域污染特征提供方法.
The 1-hour average mass concentration of particulate matter from March to May 2013 obtained from monitoring stations was used to characterize the concentration variation of particulate matter with time scale and its regional distribution in the Beijing area. The mass concentrations of PM2. 5 and PM10 were studied to find out their seasonal variation characteristics, and their spatial resolution was improved. Based on that, the possible factors and pollution sources of particulate matter were then preliminary discussed. The re-sults show that there are a periodical variation and a significant correlation on the average mass concentration of particulate matter from March to May in the Beijing area. Interpolation results on the particulate concentration distribution by using MATLAB spatial interpola-tion tools have certain precision to extrapolate and reveal the regional pollution characteristics. According to analysis, the main factors affected particulate concentration in the Beijing area are cold front and snowfall in late winter, dust and wind in spring, rainfall and hot-humid weather in early summer, and so on. The particulate concentration distribution shows an overall trend of high in the south and low in the north, and the pollution sources are very likely caused by local anthropogenic sources as well as the transmission of surround-ing area. The conjoint analysis on time series and spatial interpolation of particulate concentration has significance for further research of the time-space relationship of particulate matter, and it also provides a method for understanding regional pollution characteristics.