期刊文献+

永泰县颗粒物分布特征及影响因素分析

Distribution Characteristics and Infl uencing Factors of Particulate Matter in Yongtai County
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摘要 本文以2017~2021年永泰县环境空气自动站的监测数据为基础,分析了PM_(2.5)、PM_(10)的分布特征、PM_(2.5)/PM_(10)的变化,以及颗粒物与气象因子、其它大气污染物的相关性。结果表明,2021年永泰县PM_(2.5)、PM_(10)年均浓度较2017年均有降低,P值升高接近0.5;分季节看,PM_(10)、PM_(2.5)浓度大小趋势均为:冬季>春季>秋季>夏季,P值趋势为:冬季>秋季>春季>夏季,冬季细颗粒物污染程度较重;PM_(2.5)、PM_(10)日变化趋势呈双峰型,日均P值为0.50,粗、细颗粒对PM_(10)浓度的影响力相当。从全年看,气温、湿度与颗粒物均呈负相关,SO_(2)、NO_(2)、CO、O_(3)分别与PM_(2.5)、PM_(10),PM_(2.5)与PM_(10)之间均呈正相关。不同季节各要素间相关系数有差异,多是受气象条件、污染物排放源、外来输入程度不同等影响。烟花爆竹产生的颗粒物,易导致空气质量超标,需及时做好防治工作。 This paper based on the monitoring data of the ambient air automatic station in Yongtai County from 2017 to 2021,the distribution characteristics of PM_(2.5) and PM_(10),the change of PM2.5/PM10,and the correlation between particulate matter and meteorological factors and other air pollutants were analyzed.The results showed that:Compared with 2017,the average annual concentrations of PM_(2.5) and PM_(10) in Yongtai County decreased in 2021,and the P value increased by nearly 0.5;In terms of seasons,the concentration of PM_(10 )and PM_(2.5) showed the following trend:winter>spring>autumn>summer,and the P-value trend was:winter>autumn>spring>summer,and the pollution degree of fine particulate matter in winter was heavier.The daily variation trend of PM_(2.5) and PM_(10) showed a bimodal pattern,with an average daily P value of 0.50.The infl uence of coarse and fi ne particles on PM_(10) concentration was similar.From the perspective of the whole year,air temperature and humidity are negatively correlated with particulate matter,SO_(2),NO_(2),CO and O_(3) are positively correlated with PM_(2.5) and PM10,respectively,and PM_(2.5) is positively correlated with PM_(10).There are differences in the correlation coeffi cients between factors in different seasons,which are mostly affected by meteorological conditions,pollutant emission sources,and different degrees of external input.The particles produced by fi reworks are easy to lead to air quality exceeding the standard,and it is necessary to do a good job of prevention and control in time.
作者 邱黎清 Qiu Liqing(Fuzhou Yongtai Environmental Monitoring Station,Fuzhou 350000,China)
出处 《皮革制作与环保科技》 2022年第22期152-155,共4页 Leather Manufacture and Environmental Technology
关键词 PM_(2.5) PM_(10) 分布特征 气象因素 相关性 PM_(2.5) PM_(10) distribution characteristics meteorological factors the correlation
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