2016-2021年铜仁市城区环境空气污染特征及相关性分析  

Characteristics and correlation analysis of environmental air pollution in Tongren City from 2016 to 2021

作　　者：黎荣 贾琰 安霖钰 张丹丹 凡振华 Li Rong;Jia Yan;An Linyu;Zhang Dandan;Fan Zhenhua(Guizhou Ecological Environment Monitoring Center,Guiyang 550002;Bijiang District Meteorological Bureau of Guizhou Tongren,Tongren 554300)

机构地区：[1]贵州省生态环境监测中心,贵阳550002 [2]贵州省铜仁市碧江区气象局,贵州铜仁554300

出　　处：《环保科技》2024年第2期49-54,共6页Environmental Protection and Technology

摘　　要：利用2016-2021年铜仁市城区环境空气质量监测数据,分析环境空气污染特征、Pearson相关性和灰色关联度。研究表明:铜仁市城区环境空气质量优良率均超93.2%,污染级别主要是轻度污染,首要污染物以O_(3)、PM_(2.5)、PM_(10)为主,污染物年均值浓度除O_(3)外总体呈现出逐年下降趋势。Pearson相关性分析中,SO_(2)和O_(3)与日降水量存在强的负相关性,PM_(2.5)与平均风速之间存在极强负相关性,其余污染物与气象要素间的相关性不是很明显。灰色关联度分析中,环境空气质量监测6项指标与气候、总人口均呈现出较高关联度。Using the monitoring data of environmental air quality in the urban area of Tongren City from 2016 to 2021,this paper analyzes the characteristics of environmental air pollution,Pearson correlation,and grey correlation.Results show that the annual rates of days with AQI≤100 in the urban area of Tongren City are over 93.2%,with the main pollution level being light pollution.The main pollutants are O_(3),PM_(2.5),and PM_(10).The average annual concentration of pollutants,except for O_(3),shows an overall downward trend year by year.In Pearson correlation analysis,there is a strong negative correlation between SO_(2) and O_(3) and daily precipitation,a strong negative correlation between PM_(2.5) and average wind speed,and a less significant correlation between other pollutants and meteorological elements.In the grey correlation analysis,the six indicators of environmental air quality monitoring show a high correlation with climate and total population.

关 键 词：空气质量 PM_(2.5) O_(3) 铜仁 

分 类 号：P431[天文地球—大气科学及气象学] X823[环境科学与工程—环境工程]