受体模型及其在大气颗粒物来源解析中的应用  

Receptor Models and their Application in Ambient Particulate Matter Source Apportionment

作　　者：徐浩 杨龙誉 

机构地区：[1]贵州省环境监测中心站,贵阳550081

出　　处：《四川环境》2015年第1期138-145,共8页Sichuan Environment

摘　　要：自21世纪以来,受体模型从PCA、EF以及经典的FA,发展到了PMF,然而,CMB一直是都是热门的。本文将大气颗粒物源解析研究中的受体模型分为探测方法,化学质量平衡模型及相关方法,主成分分析及相关方法,因子分析法和混合方法,并分别概述了它们的原理、特点、发展以及在大气颗粒物源解析中的应用。Since the beginning of this century, a shift was observed in the use of receptor models （RMs） from Principal Component Analysis, Enrichment Factors, and classical Factor Analysis to Positive Matrix Factorization while Chemical Mass Balance is still topical. Classifying the RMs applied in ambient particulate matter apportionment as Explorative methods, Chemical Mass Balance model and related methods, Principal Component Analysis and related methods, Factor Analysis, and Hybrid methods, this paper reviews their basic principles, characteristics, develooment and annlieation.

关 键 词：受体模型 源解析 大气颗粒物 应用 

分 类 号：X51[环境科学与工程—环境工程]