引用本文:杨卫芬,王振,李春玉,吴晶璐.基于EOF方法的常州市区PM2.5污染时空分布特征[J].环境监控与预警,2020,12(6):12-15
YANG Wei-fen,WANG Zhen,LI Chun-yu,WU Jing-lu.Spatio temporal Distribution Characteristics of PM2.5in Changzhou City Based on EOF Method[J].Environmental Monitoring and Forewarning,2020,12(6):12-15
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基于EOF方法的常州市区PM2.5污染时空分布特征
杨卫芬,王振,李春玉,吴晶璐
作者单位
杨卫芬1,王振1,2,李春玉1,吴晶璐2 1.江苏省常州环境监测中心江苏 常州 2130012.常州市气象局江苏 常州 213022 
摘要:
基于2018年常州市14个自动监测点位ρ(PM<sub>2.5</sub>),采用变异函数法和正交经验分解法(EOF)对其ρ(PM<sub>2.5</sub>)的空间变异性和逐日质量浓度序列的时空分区特征进行了研究。结果表明,常州市PM<sub>2.5</sub>高值均发生在11和1月,其次为2,4和5月,18:00后至次日上午时段PM<sub>2.5</sub>易出现峰值;ρ(PM<sub>2.5</sub>)具有较大的空间差异性,其在东西方向上的空间异质性程度要大于南北方向,随着站点之间空间距离的增加,各个站点局地污染分布因素的差异性逐渐增大;受市区重点污染源分布和气象条件影响,ρ(PM<sub>2.5</sub>)总体呈现沿东北向西南区域依次递减的分区特征,高值区位于常州市区中心偏北、偏东地区,低值区位于市区西南部区域,且具有明显的季节变化特征。
关键词:  细颗粒物  空间分布  正交经验分解  变异函数  常州市
DOI:
分类号:X513
文献标识码:B
基金项目:常州市科技计划基金资助项目(CJ20180039)
Spatio temporal Distribution Characteristics of PM2.5in Changzhou City Based on EOF Method
YANG Wei-fen,WANG Zhen,LI Chun-yu,WU Jing-lu
Abstract:
This paper summarized the characteristics of spatio temporal distribution and spatial variability of fine particulate matter (PM<sub>2.5</sub>) based on PM<sub>2.5</sub> concentration of 14 auto monitoring sites in Changzhou city in 2018. Meanwhile, the temporal and spatial regionalization of daily PM<sub>2.5</sub> concentration were further studied and discussed by EOF method. The results indicated that the high concentration PM<sub>2.5</sub> occurred in November and January, followed by February, April and May, and the peak value of PM<sub>2.5</sub> was easy to appear from 18:00 to the morning of the next day. There were significant spatial variation of PM<sub>2.5</sub> in Changzhou city, the spatial heterogeneity of PM<sub>2.5</sub> in East West directions were greater than that in North South directions and the differences of local pollution distribution factors at each station increased with the increase of spatial distance among sites. According to the modes of EOF analysis, the regionalization of PM<sub>2.5</sub> correlated well with the main pollution source of Changzhou, and the weather conditions also impacted the regionalization results. The concentration of PM<sub>2.5</sub> showed a decreasing trend along the northeast to southwest regions, the north and east of the center of Changzhou City had relatively high PM<sub>2.5</sub> concentrations while the southwest of the city had relatively low PM<sub>2.5</sub>concentrations, and it has obvious seasonal variation characteristics.
Key words:  PM2.5  Spatial distribution  EOF  Variation function  Changzhou