统计方法在区域大气环境质量诊断分析中的应用  

Applying statistical principle component analysis to research regional atmospheric environment quality

作　　者：卢士庆[1] 陆树平 张怀德 唐桂刚[4] 席洋[5] 

机构地区：[1]南京信息工程大学电子工程系,江苏南京210044 [2]山西省环境保护局,山西太原030024 [3]山西省气象科学研究所,山西太原030002 [4]中国环境监测总站,北京100029 [5]北京工业大学环境与能源工程学院,北京100022

出　　处：《中国环境监测》2005年第5期55-59,42,共6页Environmental Monitoring in China

摘　　要：分析华北11城市(北京、石家庄、太原、天津、大同、唐山、保定、呼和浩特、济南、郑州和西安)近年的天气型演变和PM10日均值随时空变化情况,发现华北城市群存在区域性的同步污染特征,各城市的环境过程和环境质量受这种区域性的背景影响显著。11城市的污染资料主分量分析结果可以很好地描述华北地区的各类天气型控制下,华北城市群区域性的同步污染和输送汇聚环境过程,并可以依据主分量分析结果对各城市的环境质量做出客观上的评价。Within north China, years of the spatial and temporal evolutions of daily averaged PM10 were analyzed, with the varieties of weather styles diagnosed, one fact was found that, controlled by certain synoptic systems, there always existed a territorial and synchronous air pollution, and some relatively fixed cities were always obviously influenced by the transmission and convergence belts produced by these systems. The results gained through utilizing the principle component analysis to analyze PM10 data could describe the above factor well.

关 键 词：主分量分析 区域大气环境质量 诊断分析 区域同步污染 输送汇聚 

分 类 号：X823[环境科学与工程—环境工程]