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(PM_(2.5))分别为(117.7±40.7)和(47.9±17.1)μg/m^(3),污染时段的ρ(PM_(2.5))超出二级标准(75μg/m^(3))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PM_(2.5)分布东高西低;清洁时段,SNA和PM_(2.5)分布则东西高中部低,这与PM_(2.5)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PM_(2.5)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,theρ(PM_(2.5))in the Guanzhong region were(117.7±40.7)μg/m^(3) and(47.9±17.1)μg/m^(3),respectively.During polluted periods,ρ(PM_(2.5))exceeded the Class II standard(75μg/m^(3))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 PM_(2.5) 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 PM_(2.5).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 PM_(2.5) concentrations originated from within Shaanxi Province,primarily from the Guanzhong region,indicating a strong linkage effect of air pollution.
作者
高飞
曹磊
李雨
张宇
赵蓓
董娅玮
杜涛
张淳
马震
李毅辉
GAO Fei;CAO Lei;LI Yu;ZHANG Yu;ZHAO Bei;DONG Yawei;DU Tao;ZHANG Chun;MA Zhen;LI Yihui(Shaanxi Province Environmental Monitoring Center,Shaanxi Provincial Key Laboratory of Monitoring and Early Warning of Trace Pollutants in Environmental Media,Xi'an 710054;College of Geography and Environment,Baoji University of Arts and Sciences,Shaanxi Key Laboratory of Disasters Monitoring and Mechanism Simulation,Baoji 721013)
出处
《环境保护科学》
2026年第1期77-89,共13页
Environmental Protection Science
基金
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)。
