山东建筑大学学报2017，Vol.32Issue(1)：39-46,8.
山东省PM2.5浓度时空变化规律及其影响因素分析
Temporal and spatial variation and its influencing factors of PM2.5 concentration in Shandong Province
摘要
Abstract
PM 2.5 is an important target of air quality monitoring,and understanding the temporal and spatial variation of PM2.5 is of great significance for governing gray haze.Based on 728 days' air quality monitoring data from 2014 to 2015 and relevant meteorological data of 17 cities in Shandong province,using time series analysis,correlation analysis,spatial autocorrelation and spatial interpolation,we studied the spatial and temporal variation of the concentration of PM2.5 in Shandong Province and analyzed the influence of meteorological factors on PM2.5 concentration.The results show that the winter months present with a higher concentration,relatively lower in summer months,showing a U-shape changes.The time series autocorrelation of PM2.5 concentration changes was strong,and first order autocorrelation coefficient reaches 0.6896.The concentration distribution of PM2.5 shows obvious spatial agglomeration characteristics.The direction of wind has an obvious effect on the aggregation and diffusion of PM2.5 concentration;PM2.5 concentration and meteorological conditions show a certain correlation;in different months the correlation is significantly different.Meanwhile,the concentration of PM2.5 and SO2,CO,NO2,PM10 exists a highly positive correlation coefficient while a negative correlation with O3.In the process of governing the haze,we should carry on the comprehensive management of various pollutants.关键词
PM2.5/时空变化/空间自相关/空间插值Key words
PM2.5/spatial-temporal characteristics/spatial autocorrelation/spatial interpolation分类
资源环境引用本文复制引用
范开放,单宝艳..山东省PM2.5浓度时空变化规律及其影响因素分析[J].山东建筑大学学报,2017,32(1):39-46,8.基金项目
教育部人文社会科学研究规划基金项目(12YJA790019) （12YJA790019）
住房和城乡建设部研究开发项目(2012-K8-22) （2012-K8-22）
