摘要
基于西南地区攀枝花市大气监测站5个站点的大气污染物数据,整理了2019年PM_(10)和PM_(2.5)质量浓度的变化趋势,分析了不同季节不同粒径颗粒物浓度的分布特征与气象因素之间的相关性。结果显示:2019年攀枝花市PM_(10)、PM_(2.5)的质量浓度年均值分别为52.8±16.2μg/m^(3)和29.2±10.5μg/m^(3);由PM_(10)与PM_(2.5)和PM_(2.5-10)的相关性可知,PM_(2.5)是PM_(10)的组成部分;颗粒物与SO2、NO_(2)、CO、O_(3)正相关,与温度、相对湿度、风速负相关。
Based on the data of air pollutants from five monitoring stations in Panzhihua City,southwest China,the variation trend of PM_(10) and PM_(2.5) mass concentration in 2019 was sorted out,and the correlation between the distribution characteristics of particulate concentration with different particle sizes in different seasons and meteorological factors was analyzed.The results show that:(1)the annual mean mass concentrations of PM_(10) and PM_(2.5) in Panzhihua in 2019 were(52.8±16.2)μg/m^(3) and(29.2±10.5)μg/m^(3),respectively;(2)According to the correlation between PM_(10) and PM_(2.5) and PM_(2.5~10),PM_(2.5) is a component of PM_(10);and(3)Particulate matter is positively correlated with SO_(2),NO_(2),CO and O_(3),while negatively correlated with temperature,relative humidity and wind speed.
作者
何敏
李婷
黄艺
HE Min;LI Ting;HUANG Yi(School of Earth Science,Chengdu University of Technology,Chengdu 610059,Sichuan Province,China)
出处
《天津科技》
2021年第2期80-85,共6页
Tianjin Science & Technology
基金
国家重点研发计划“成渝地区大气重污染形成过程与时空分布研究(2018YFC0214001)。”。
