State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing, 210023, PR China.
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Sciences and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Sci Rep. 2017 Aug 29;7(1):9865. doi: 10.1038/s41598-017-08628-0.
Magnetic measurement was combined with geochemical analysis to investigate the trace metal pollution of PM. The study was carried out in Nanjing, China, where the average PM concentrations in summer and winter in 2013-2014 were 66.37 and 96.92 μg/m, respectively. The dominant magnetic mineral in PM had a low-coercivity pseudo-single domain and consisted of magnetite and hematite. Iron-oxide magnetic particles comprised spherical as well as angular particles. Stable Pb isotopic ratio determinations showed that Pb in summer samples derived from coal emissions while the main sources of winter samples were smelting industry and coal emissions. The magnetic properties of the particles correlated strongly with trace metals derived from anthropogenic activities, such as industrial emission, coal combustion, and traffic vehicle activities, but poorly with those derived from natural sources. In the multiple linear regression analysis, Cr and Fe had higher correlation coefficients (training R > 0.7) in contrast to the low training R of As, Cd, Ni, Sr, and Ti (<0.5) determined using the PM concentrations and magnetic parameter values as the decision variables. Our results support the use of environmental magnetism determinations as a simple and fast method to assess trace metals in urban particulate matter.
磁性测量与地球化学分析相结合,研究了 PM 的痕量金属污染。该研究在中国南京进行,2013-2014 年夏季和冬季的平均 PM 浓度分别为 66.37 和 96.92μg/m。PM 中的主要磁性矿物具有低矫顽力的拟单畴,由磁铁矿和赤铁矿组成。氧化铁磁性颗粒包括球形和角形颗粒。稳定的 Pb 同位素比值测定表明,夏季样品中的 Pb 来自煤炭排放,而冬季样品的主要来源是冶炼工业和煤炭排放。颗粒的磁性特性与源自人为活动的痕量金属(如工业排放、煤炭燃烧和交通车辆活动)密切相关,但与源自自然源的痕量金属相关性较差。在多元线性回归分析中,Cr 和 Fe 的相关系数(训练 R>0.7)较高,而 As、Cd、Ni、Sr 和 Ti 的训练 R 较低(<0.5),这些元素是根据 PM 浓度和磁性参数值作为决策变量确定的。我们的结果支持使用环境磁学测定作为评估城市颗粒物中痕量金属的简单快速方法。