摘要
以石家庄城市为例,针对大气降尘中矿物微观结构的研究,基于扫描电子显微镜(SEM)及其图像处理技术,快速获取颗粒形态、粒度大小等微观结构信息。结果表明,从检测的样品形貌特征图像中,可以高效识别降尘中的微颗粒及其形态,获取黏土矿物微观结构和矿物颗粒成分信息,认为大气降尘样品中污染物可能源自交通、建筑、工业燃煤等。背散射图像和能谱分析系统的结合为污染物源解析提供了有利条件。
Taking Shijiazhuang, for example, based on scanning electron microscope(SEM) and image processing technology, the microstructure of minerals in atmospheric dust was studied by rapid acquiring particle morphology, particle size, etc. The results show that particles and their forms could be effectively identified in sample morphology feature images, the clay mineral microstructure and the particle composition were obtained. It was considered that the pollutants in atmospheric dust might come from transportation, construction, industrial coal burning, etc. The combination of backscattering image and energy spectrum analysis system were benefit for source apportionment of the pollutants.
作者
刘创脱
LIU Chuang-tuo(Hebei GEO University,Shijiazhuang,Hebei 050031,China)
出处
《环境监测管理与技术》
CSCD
2020年第4期65-68,共4页
The Administration and Technique of Environmental Monitoring
基金
中国地质调查局“河北省区域生态地球化学评价”基金资助项目(1212010511212)。
关键词
矿物颗粒
微观结构
扫描电子显微镜
大气降尘
石家庄
Mineral particles
Microstructure
Scanning electron microscope
Atmospheric dust
Shijiazhuang