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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
引用本文:万天敏,李晓林,岳伟生,李燕,张桂林.基于Micro-PIXE能谱的大气单颗粒物污染源模式识别研究[J].核技术,2005,28(12):904-908.
作者姓名:万天敏  李晓林  岳伟生  李燕  张桂林
作者单位:中国科学院上海应用物理研究所,上海,201800;中国科学院研究生院,北京,100049;中国科学院上海应用物理研究所,上海,201800
基金项目:中国科学院创新工程项目(KJCX2-SW-No.1)和国家自然科学基金项目(10375084)共同资助
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。

关 键 词:大气颗粒物  能谱特征  PIXE  模式识别
收稿时间:09 9 2004 12:00AM
修稿时间:2004-09-092004-11-12

Study of pattern recognition method for source identification of aerosol particles by micro-PIXE spectrum
WAN Tianmin,LI Xiaolin,YUE Weisheng,LI Yan,ZHANG Guilin.Study of pattern recognition method for source identification of aerosol particles by micro-PIXE spectrum[J].Nuclear Techniques,2005,28(12):904-908.
Authors:WAN Tianmin  LI Xiaolin  YUE Weisheng  LI Yan  ZHANG Guilin
Affiliation:1 Shanghai Institute of Applied Physics ,the Chinese Academy of Sciences, Shanghai 201800, China ; 2 Graduate School of the Chinese Academy of Sciences, Beijing 100049, China
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.
Keywords:Aerosol particle  Spectrum feature  PIXE  Pattern recognition
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