基于PEARSON函数的AQI指数与气象要素关联性研究

Research on the Correlation Between AQI Index and Meteorological Elements Based on PEARSON Function

基于2011-2018年洛阳地区AQI数据及主要污染物资料,分析了2011年到2018年洛阳地区的空气质量和污染物特征,探讨了洛阳地区AQI指数及污染物种类与气象要素之间的关系。结果表明:洛阳地区冬季AQI指数为一年中的最大值,夏秋季AQI指数最小;从2011年开始,AQI指数呈上升趋势,至2016年达到最大值后开始减小。洛阳市的主要污染物为PM2.5和PM10,且近年来冬季PM2.5和PM10的平均浓度呈上升趋势。温度和降水对污染物浓度的影响最大,但近三年来,温度变化对污染物浓度的影响效果开始减弱。总体来说,各气象要素与AQI之间存在紧密联系。

Based on the AQI data and main pollutant data of Luoyang from 2011 to 2018,the air quality and pollutant characteristics of Luoyang from 2011 to 2018 were analyzed,and the relationship between AQI index,pollutant types and meteorological factors was discussed.The results show that the AQI index in winter in Luoyang is the maximum in a year,and the AQI index in summer and autumn is the minimum.Starting from 2011,the AQI index showed an upward trend and began to decrease after reaching its maximum in 2016.The main pollutants in Luoyang City are PM2.5 and PM10,and the average concentrations of PM2.5 and PM10 are increasing in recent years.Temperature and precipitation have the greatest impact on pollutant concentration,but in recent three years,the effect of tempera ture change on pollutant concentration began to weaken.Generally speaking,there is a close relationship between the meteorological elements and AQI.