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基于Micro-PIXE能谱的大气单颗粒物污染源模式识别研究
Study of pattern recognition method for source identification of aerosol particles by micro-PIXE spectrum
【摘要】 来自不同排放源的大气气溶胶,其化学组成特别是微量元素组成具有各自的特征,在Micro-PIXE能谱上呈现不同的特征峰。因此单个气溶胶颗粒物的Micro-PIXE能谱特征可作为其指纹,查找污染源。本文提出了适应于Micro-PIXE谱的模式识别算法,并对这种以Micro-PIXE能谱特征溯源的方法进行了可靠性检验。结果表明以此种方法进行源解析具有较高的可信度。相应的模式识别算法具有准确,快速的特点。
【Abstract】 The micro-PIXE spectra of aerosol particles from different emitter sources have different characteristic peaks, due to different chemical compositions of these particles. Thus, the micro-PIXE spectra can be considered as fingerprints of the aerosol particles. In order to identify the sources of aerosol particles, a pattern recognition method was developed and the method was examined and the result shows that the method is reliable and efficient.
【关键词】 大气颗粒物;
能谱特征;
PIXE;
模式识别;
【Key words】 Aerosol particle; Spectrum feature; PIXE; Pattern recognition;
【Key words】 Aerosol particle; Spectrum feature; PIXE; Pattern recognition;
【基金】 中国科学院创新工程项目(KJCX2-SW-No.1);国家自然科学基金项目(10375084)
- 【文献出处】 核技术 ,Nuclear Techniques , 编辑部邮箱 ,2005年12期
- 【分类号】X513
- 【被引频次】6
- 【下载频次】187