Characterization of suspended particulate matter using cascade impactor and X-ray fluorescence

J. Pereira, V. Costa, M. Anjos, Joaquim Teixeira de Assis
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Abstract

Atmospheric pollution has become one of the biggest environmental and public health problems in large urban centers. The process of industrialization and urbanization of large cities together with population growth and motorized transport has caused an increase in the level of air pollution in these places. Thus, this work approaches the characterization of suspended particulates in the surroundings of the Duque de Caxias Refinery (REDUC) from the identification of the chemical elements present using the X-ray fluorescence technique - XRF. A PIXE 8-stage impactor was used to collect the particulate material (aerodynamic diameters of 16 – 0.12 µm). On the other hand, the experimental measurements of XRF were performed using a commercial system ARTAX 200 (Bruker) and under the following conditions: voltage of 45 kV, current of 500 µA, acquisition time of 300 s and no filter in the incident X-ray beam. The study allowed estimating the dimensions of the particulate materials, identifying the chemical elements present and pointing out possible sources, from samples collected in three residential points that are in the surroundings of REDUC in the region of Campos Elísios. The X-ray fluorescence technique proved to be efficient and it was possible to detect the following chemical elements: Silicon, Sulfur, Chlorine, Potassium, Calcium, Titanium, Manganese, Iron, Nickel and Zinc. Correlations were observed between some elements making it possible to identify possible sources of pollution.
用级联冲击器和x射线荧光表征悬浮颗粒物
大气污染已成为大城市中心最大的环境和公共卫生问题之一。大城市的工业化和城市化进程以及人口增长和机动交通造成了这些地方空气污染水平的增加。因此,这项工作接近Duque de Caxias炼油厂(REDUC)周围悬浮颗粒的特征,从使用x射线荧光技术- XRF识别存在的化学元素。采用PIXE 8级撞击器收集颗粒材料(气动直径为16 - 0.12µm)。另一方面,XRF的实验测量使用商用系统ARTAX 200 (Bruker),在以下条件下进行:电压为45 kV,电流为500µa,采集时间为300 s,入射x射线束无滤波器。这项研究从Campos Elísios地区REDUC周围的三个居民点收集的样本中,估计了颗粒材料的尺寸,识别了存在的化学元素,并指出了可能的来源。x射线荧光技术被证明是有效的,可以检测到以下化学元素:硅、硫、氯、钾、钙、钛、锰、铁、镍和锌。观察到一些元素之间的相关性,从而有可能确定可能的污染源。
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