常州春季PM2.5的氧化潜势及其来源解析
OXIDATIVE POTENTIAL AND SOURCE APPORTIONMENT OF PM2.5 DURING SPRING IN CHANGZHOU
吴一昊 1崔尧嘉 1臧鑫芝 1王文强 1叶招莲1
作者信息
- 1. 江苏理工学院资源与环境工程学院,江苏常州 213001
- 折叠
摘要
为探究细颗粒物(PM2.5)的健康风险及其来源,采用二硫苏糖醇(DTT)法测定了常州春季PM2.5的氧化潜势(OP),用DTTv(体积归一化的DTT)和DTTm(质量归一化的DTT)表征.采用正定矩阵因子分解法(PMF)、主成分分析(PCA)联合多元线性回归(MLR)2种方法解析了DTTv的来源.结果表明:采样期间大气PM25的DTTv和DTTm日平均值分别为(0.83±0.09)nmol/(min·m3)和(12.52±4.22)pmol/(min·µg),处于国内相对较低的暴露水平.有机碳、二次离子(SO42-、NO3-和NH4+)和交通源特征元素(Cu、Zn等)与DTTv呈中度相关,说明二次源、交通源等对健康相关的PM暴露产生一定影响.PMF对DTTv的源解析结果也表明,交通源(40.1％)和二次源(35.6％)对DTTv的贡献高于扬尘源(18.6％)和燃烧源(5.8％),MLR-PCA解析结果进一步证实了交通源和二次源对DTTv的重要贡献.该成果可为大气污染精准防控和健康影响分析提供参考.
Abstract
To explore health risks and sources of fine particles(PM2.5),we detected the oxidative potential(OP)of PM2.5 in spring in Changzhou using the dithiothreitol(DTT)method,and characterized it by DTTv(volume-normalized DTT consumption)and DTTm(mass-normalized DTT consumption).Two source apportionment methods including positive matrix factorization(PMF)and principal component analysis(PCA)combined with multiple linear regression(MLR),were used to resolve emission sources of DTTv.The results showed that the average daily DTTv and DTTm in PM2.5 were(0.83±0.09)nmol/(min·m3)and(12.52±4.22)pmol/(min·μg)during the sampling period,respectively,which were in the relatively lower exposure levels in China.Organic carbon,secondary ions(SO42-,NO3,and NH4),as well as characteristic elements of the traffic sources(Cu,Zn,etc.),correlated moderately with DTTv,suggesting both the secondary sources and traffic sources had some impact on PM exposure related to health.Source apportionment results from PMF showed that vehicle emission(40.1％)and secondary sources(35.6％)were more important contributors to DTTv in PM2.5 than dust sources(18.6％)and combustion sources(5.8％),and MLR-PCA source apportionment method further confirmed significant contribution to DTTv from vehicle emission and secondary sources.The results could provide theoretical and scientific guidance for precise prevention and control of air pollution and health effects.
关键词
PM2.5/氧化潜势/多元线性回归/主成分分析/正定矩阵因子分解Key words
PM2.5/oxidative potential/multiple linear regression/principal component analysis/positive matrix factorization引用本文复制引用
基金项目
江苏省自然科学基金(BK20221405)
常州市重点实验室项目(CM20223017)
江苏省研究生实践创新计划(SJCX21_1332)
江苏理工学院研究生实践创新计划(XSJCX23_82)
出版年
2024
NETL
NSTL
万方数据