基于CMB受体模型的大气颗粒物源成分谱研究  

Study on the Source Profiles of Atmospheric Particulate Matters Based on the CMB Receptor Model

作　　者：罗莹华[1] 

机构地区：[1]韶关学院旅游与地理学院地理系,广东韶关512005

出　　处：《四川环境》2017年第1期17-23,共7页Sichuan Environment

基　　金：韶关市科技计划项目(313-27140215)

摘　　要：为建立起有代表性的、准确的各类排放源的成分谱,从各类排放源的特征出发,提出了排放源的分类方法及建立源成分谱应遵循的4大原则,在此基础上,分析了扬尘、燃煤尘、建筑尘、冶金尘和汽车尾气尘五类常见排放源的化学成分谱。结果表明:扬尘中百分含量大于10的化学组分只有Si,建筑水泥尘中百分含量大于10的化学组分只有Ca,煤烟尘中百分含量大于10的化学组分有Al、TC,冶金尘中百分含量大于10的化学组分有Fe,汽车尾气尘中百分含量大于10的化学组分有TC、OC。因此,各类排放源的特征元素分别是:扬尘Si;建筑水泥尘Ca;煤烟尘A1、TC;冶金尘Fe;汽车尾气尘TC。五类排放源不存在明显的共线性问题。In order to establish a representative and exact chemical composition spectrum of all kinds of emission source, starting from the characteristics of all kinds of emission source, this paper puts forward the classification method of emission source and four principles which should be followed when establishing emission source component spectrum. Furthermore, the chemical composition spectrum of five kinds of common emission sources （dust, coal dust, construction dust, metallurgical dust and automobile exhaust ） were analyzed. The results showed that the components with a percentage of chemical composition more than 10 are Si in dust, Ca in building cement dust, Al/TC in coal dust, Fe in metallurgical dust , and TC OC in automobile exhaust. Thus, the characteristic elements of each emission source are Si in dust, Ca in construction dust; Al, TC in coal ash, Fe in metallurgical dust is and TC in automobile exhaust dust . Five kinds of emission sources does not have obvious colinearity relation.

关 键 词：CMB受体模型 大气颗粒物 源成分谱 

分 类 号：X513[环境科学与工程—环境工程]