北京市可吸入颗粒物的空间分布特征及与气象因子的CCA分析  

Spatial Distribution of Urban IP Pollution and CCA Analysis between IP and Meteorological Factors:A Case Study in Beijing

作　　者：赵文慧[1] 宫辉力[1] 赵文吉[1] 唐涛 

机构地区：[1]首都师范大学资源环境与地理信息系统北京市重点实验室,北京100048 [2]Department of Geography and Planning,State University of NewYork Collegeat Buffalo,USA

出　　处：《地理与地理信息科学》2009年第1期71-74,共4页Geography and Geo-Information Science

基　　金：国家科技支撑计划项目(2007BAH15B02)

摘　　要：利用93个不同下垫面上的空气监测网点数据、地统计分析工具和克里格(Kriging)方法,模拟北京市城区2008年夏季PM1.0、PM3.0、PM5.0以及气象因子的空间分布。分析北京市城区大气可吸入颗粒物的污染分布特征,同时采用同期气象资料进行典型相关分析(CCA),比较各气象因子对颗粒物浓度的影响大小。结果发现:实验半变异函数符合具有块金值的球状模型;北京城区空气可吸入颗粒物的污染范围主要集中在西南部,西北次之,城区中心污染程度相对较轻;3种不同粒径的可吸入颗粒物与各影响因子的空间相关性存在差异;气象因子方面,相对湿度为城区可吸入颗粒物浓度的主要影响因子,其次为地表温度,影响最弱的为风速。The spatial distribution of PM1.0, PM3. 0 and PM5. 0 concentration were simulated by using Kriging method with monitoring summer data obtained from 93 air sampling stations in Beijing urban area. Meanwhile, different regularity was shown in the experiment according to the concentration of particles in different weather conditions. The possible meteorological factors such as surface temperature, humidity of air and wind speed were analyzed. Furthermore, by means of CCA between airborne inhalable particulate concentration and some meteorological factors, the influences of different factors on pollutant concentration were compared. The results showed that spherical models with nuggets could fit the variograms of airborne inhalable particulates. The main polluted area in Beijing was centralized at southwest, northwest was weaker. Pollution degree in central city was relatively light,and the spatial relativity between three kinds of airborne inhalable particulate pollutant and their impact factors had spatial heterogeneity. The relative humidity significantly affected inhalable particulate pollution. Temperature was second, and the weakest factor was wind speed.

关 键 词：克里格方法 可吸入颗粒物污染 气象因子 典型相关分析 

分 类 号：X831[环境科学与工程—环境工程]