2019-2022年冬季太原市硫酸盐污染特征及气象影响因素研究
Research on the Characteristics of Sulfate Pollution and Meteorological Influencing Factors in Taiyuan City during the Winter of 2019-2022
温晓娅 1崔阳 1何秋生 1郭利利1
作者信息
- 1. 太原科技大学环境与资源学院,山西 太原 030024
- 折叠
摘要
为研究硫酸盐(SO42-)对二氧化硫(SO2)长期减少的反应,本研究利用四年在线小时分辨率数据对 2019-2022 年太原市冬季SO42-进行研究.结果表明,研究期间SO2 质量浓度从 32.60 μg/m3 降低到 19.33 μg/m3,SO42-质量浓度从 13.87 μg/m3 降低到 2.81 μg/m3,SO42-在PM2.5 中占比从 16.4%降低到5.8%,SOR从 0.3 显著降低至 0.13.结合条件概率函数(CPF)、浓度加权轨迹(CWT)模型以及后向轨迹分析发现,本地贡献和西南区域输送是 2019 年SO42-的主要来源,而2020-2022年SO42-主要来自于西南区域输送.
Abstract
In order to study the reaction of sulfate(SO42-)to the long-term reduction of sulfur dioxide(SO2).In this study,4-year online hourly resolution data were used to study SO42-from 2019 to 2022 during winter in Taiyuan.The results showed that SO2 decreased from 32.60 μg/m3 to 19.33 μg/m3,SO42-decreased from 13.87 μg/m3 to 2.81 μg/m3,the proportion of SO42-in PM2.5 decreased from 16.4%to 5.8%,and SOR decreased significantly from 0.3 to 0.13.Combined with conditional probability function(CPF),concentration weighted trajectory(CWT)model and backward trajectory analysis,local contribution and southwest regional transport were the main sources of SO42-in 2019,while SO42-mainly came from southwest regional transport in 2020-2022.
关键词
PM2.5/硫酸盐/年际变化/污染特征Key words
PM2.5/sulfate/interannual variation/pollution characteristics引用本文复制引用
出版年
2024
NETL
NSTL
万方数据