2019—2021年高密市PM_(2.5)浓度时空分布特征研究

Temporal and Spatial Distribution Characteristics of PM_(2.5) Concentration in Gaomi from 2019 to 2021

基于2019—2021年高密市16个空气质量自动监测站数据,通过相关性分析和surfer空间分析手段研究高密市PM_(2.5)污染的时空分布特征。结果表明,2019—2021年高密市PM_(2.5)浓度逐年下降,冬季最高,夏季最低,PM_(2.5)月均值呈现U型波动,采暖期污染水平明显高于非采暖期;PM_(2.5)污染形成东—东北部>西—西南部>南部>西北部的空间分布格局,非采暖期PM_(2.5)高浓度区在东—东北部形成,这与高密市排放形成二次污染的前体污染物工业企业分布基本一致。

Based on the data of 16 automatic air quality monitoring stations in Gaomi city from 2019 to 2021,the spatial and temporal distribution characteristics of PM_(2.5) pollution in Gaomi city were studied by correlation analysis and surfer spatial analysis.The results show that the concentration of PM_(2.5) in Gaomi city decreases year by year from 2019 to 2021,with the highest in winter and the lowest in summer.The monthly mean value of PM_(2.5) shows a U-shaped fluctuation,and the pollution level in heating season is significantly higher than that in non-heating season.PM_(2.5) pollution forms a spatial distribution pattern of East-Northeast>West-Southwest>South>Northwest,and a high concentration area of PM_(2.5) is formed in East-Northeast in the non-heating season,which is basically consistent with the industrial distribution of precursor pollutants that cause secondary pollution in Gaomi city.