《大气颗粒物来源解析受体模型的发展和应用》结合颗粒物污染防治工作的需求，系统总结了中国大气颗粒物来源解析受体模型理论的发展与应用。《大气颗粒物来源解析受体模型的发展和应用》共分为七章：第一章主要介绍受体模型的发展；第二章介绍化学质量平衡受体模型（CMB）的基本原理；第三章介绍因子分析模型；第四章介绍受体模型在中国大气颗粒物来源解析中的应用：第五章到第七章分别介绍主成分分析／多元线性回归.化学质量平衡复合受体模型（PCA/MLR-CMB），非负主成分回归化学质量平衡模型（NCPCRCMB）和化学质量平衡嵌套迭代模型（CMB-iteration）。
《大气颗粒物来源解析受体模型的发展和应用》适合高等院校和科研院所大气环境相关专业的研究生、教师及科研人员，环境保护部门从事大气污染防治工作的技术人员及管理人员阅读和参考。
Source apportionment is the key stone for air pollution controlling， and can provide scientific information for air quality management. In the field of source apportionment researches， particulate matter (PM) study is the hot point over the world，due to the complex sources for PM. The classification of the source categories of PM includes primary source emission， and secondary source forming; not only the point emission (i.e. coal combustion)， but also the open sources (i.e. resuspended dust)， and so on. Therefore， sources of PM have been studied with the most interest in recent years over the world， espeaally in China.
The methods of identificating the possible sources and quantifying their contribution are called source apportionment technology. With the changing of source emission patterns and pollution characteristics， the source apportionment methods are developing accordingly Generally， the methods can be classified into three kinds： the source emission inventory method， the air quality model， and the receptor model.The source emission inventory method can qualitatively or semi-quantitatively analyze the major source contributions in an area， according to the emission mass (t) of particulate matters from diverse sources. However， there is high uncertainty of the result of source emission inventory method. Firstly， the emission mass (t) from one source can not be linearly related to its contribution (μg/m3); secondly， it is difficult to obtain the emission mass (t) of some sources， such as the resuspended dust source.Thus， the emission inventory method is hard to meet the requirement of air management in recent years.
Preface
Chapter 1 Introduction of Receptor Model
1．1 Basic Concepts and Characteristics of Receptor Model
1．1．1 Source known
1．1．2 Source unknown
1．1．3 The characteristics of receptor model
1．2 Classification of Receptor Models
1．3 The Development of Receptor Models
1．3．1 Initiating stage (1960s-1970s)
1．3．2 Developmentalstage (1980s-1990s)
1．3．3 Recent development (2000s-2010s)
References
Chapter 2 The CMB Receptor Model
2．1 The History of CMB Receptor Model
2．2 The Principles of CMB Receptor Model
2．2．1 The algorithms of CMB receptor model
2．2．2 The diagnosis system for goodness of fit in the CMB model
2．3 New Problems Faced by the CMB Model
2．3．1 Collinearity problems
2．3．2 Problems of quantitative estimation for secondary organic carbon
2．4 New Development of CMB Model
2．4．1 Nested source apportionment technique
2．4．2 NCPCRCMB model
2．4．3 The CMB-iteration model
2．4．4 The MM-CMB model
2．4．5 The CMB-GCmodel
References
Chapter 3 The Factor Analysis Model
3．1 Introduction of the Factor Analysis Model
3．2 Principles of Factor Analysis Model
3．2．1 The PCA-MLR model
3．2．2 The PMF model
3．2．3 The UNMIX model
3．3 Problems Occurred during the Applications of Factor Analysis Model
3．4 The Development of Factor Analysis Model
3．4．1 The factor analysis-CMB combined model
3．4．2 The ME2 model
3．4．3 The pollution source identification model
References
Chapter 4 Applications of Receptor Model in China
4．1 Applications of the CMB Model in China
4．1．1 Studies of the CMB receptor model for source apportionment
4．1．2 Other applications of the CMB receptor model
4．2 The Development and Applications of Factor Analysis Model
4．2．1 The development and applications of PCA model in China
4．2．2 The applications of PMF model
4．2．3 The applications of the UNMIX model in China
4．3 The Applications of Combined Receptor Model in China
4．3．1 The applications of the PCA/MLR-CMB model
4．3．2 The applications of the NCPCRCMB model
4．4 Prospects
References
Chapter 5 Introduction of PCA/MLR-CMB
5．1 Input Files
5．2 Output Files
5．3 Running the Model
5．3．1 PCA stage
5．3．2 CMB stage
Chapter 6 Introduction of NCPCRCMB
6．1 Input Files
6．2 Output Files
6．3 Running the Model
Chapter 7 Introduction of CMB-Iteration
7．1 Input Files
7．2 Output Files
7．3 Running the Model
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