首页|期刊导航|环境保护科学|基于高分辨率一次重污染过程PM2.5中水溶性无机离子分布特征及影响因素

基于高分辨率一次重污染过程PM2.5中水溶性无机离子分布特征及影响因素OA

Based on the distribution characteristics and influencing factors of water-soluble inorganic ions in PM2.5 in a high-resolution primary heavy pollution process

中文摘要英文摘要

为研究关中 5市清洁时段与污染时段内可溶性无机离子的时空变化特征及潜在来源,通过实时高分辨率在线监测手段,利用相关性分析、主成分和多元线性回归模型,结合潜在污染源解析等方法对关中 5市 2023年 12月大气中水溶性无机离子进行分析.结果表明:关中地区在污染时段和清洁时段的ρ(PM2.5)分别为(117.7±40.7)和(47.9±17.1)μg/m3,污染时段的ρ(PM2.5)超出二级标准(75 μg/m3)的 59.0%,是清洁时段的 2.7倍.二次无机离子(SNA)在总水溶性离子中的占比均高于 85%.水溶性离子的空间变化特征表现为,在污染时段,SNA和PM2.5 分布东高西低;清洁时段,SNA和PM2.5 分布则东西高中部低,这与PM2.5 的分布特征一致.关中地区清洁时段和污染时段的污染来源一致,均为二次生成源、燃烧源和扬尘源.在监测时段内,关中 5市污染气团主要分布于城市本地,携带PM2.5 浓度最高的轨迹来源于陕西省区域内,主要以关中地区为主,空气污染联动效应较强.

To study the temporal and spatial variation characteristics and potential sources of water-soluble inorganic ions during clean and polluted periods in the five cities of the Guanzhong region,high-resolution real-time online monitoring was employed.Correlation analysis,principal component analysis,multiple linear regression modeling,and potential source contribution analysis were used to analyze atmospheric water-soluble inorganic ions in the five cities of Guanzhong in December 2023.The results showed that during polluted and clean periods,the ρ(PM2.5)in the Guanzhong region were(117.7±40.7)μg/m3 and(47.9±17.1)μg/m3,respectively.During polluted periods,ρ(PM2.5)exceeded the Class II standard(75 μg/m3)by 59.0%and was 2.7 times higher than during clean periods.The proportion of secondary inorganic ions(SNA)in total water-soluble ions was above 85%in both periods.The spatial variation characteristics of water-soluble ions indicated that during polluted periods,the distribution of SNA and PM2.5 was higher in the east and lower in the west,while during clean periods,it was higher in the east and west and lower in the central region,which was consistent with the distribution characteristics of PM2.5.The pollution sources during clean and polluted periods in the Guanzhong region were the same,including secondary formation sources,combustion sources,and dust sources.During the monitoring period,polluted air masses in the five cities of Guanzhong were mainly locally distributed.The trajectories carrying the highest PM2.5 concentrations originated from within Shaanxi Province,primarily from the Guanzhong region,indicating a strong linkage effect of air pollution.

高飞;李毅辉;曹磊;李雨;张宇;赵蓓;董娅玮;杜涛;张淳;马震

陕西省环境监测中心站,陕西省环境介质痕量污染物监测预警重点实验室,西安 710054陕西省环境监测中心站,陕西省环境介质痕量污染物监测预警重点实验室,西安 710054陕西省环境监测中心站,陕西省环境介质痕量污染物监测预警重点实验室,西安 710054宝鸡文理学院地理与环境学院,陕西省灾害监测与机理模拟重点实验室,宝鸡 721013陕西省环境监测中心站,陕西省环境介质痕量污染物监测预警重点实验室,西安 710054陕西省环境监测中心站,陕西省环境介质痕量污染物监测预警重点实验室,西安 710054陕西省环境监测中心站,陕西省环境介质痕量污染物监测预警重点实验室,西安 710054陕西省环境监测中心站,陕西省环境介质痕量污染物监测预警重点实验室,西安 710054陕西省环境监测中心站,陕西省环境介质痕量污染物监测预警重点实验室,西安 710054陕西省环境监测中心站,陕西省环境介质痕量污染物监测预警重点实验室,西安 710054

资源环境

关中地区水溶性离子PCA-MLR模型潜在源区

Guanzhong regionwater-soluble ionsPCA-MLR modelpotential source area

《环境保护科学》 2026 (1)

77-89,13

陕西省雷达组网立体监测网络建设项目(ZX2022-04-058)西北区域空气质量预报业务系统应用升级项目(BYZB∙2022-007)

10.16803/j.cnki.issn.1004-6216.202502022

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