Use of a nonnegative constrained principal component regression chemical mass balance model to study the contributions of nearly collinear sources

Environmental Science and Technology

Volumn 43, Issue 23, 2009, Pages 8867-8873

  Shi, Guo Liang ^a   Feng, Yin Chang ^a   Zeng, Fang ^a   Li, Xiang ^a,b   Zhang, Yu Fen ^a   Wang, Yu Qiu ^a   Zhu, Tan ^a  

^a NANKAI UNIVERSITY   (China)

^b University of Georgia ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL MASS BALANCE; CHEMICAL MASS BALANCE MODEL; COLLINEARITY; DATA SETS; PRINCIPAL COMPONENT REGRESSION; PRINCIPLE COMPONENT REGRESSION; SOURCE APPORTIONMENT; SOURCE CONTRIBUTIONS; SOURCE PROFILES; SYNTHETIC DATASETS; SYNTHETIC RECEPTORS;

REGRESSION ANALYSIS;

MEASUREMENT ERRORS;

DATA SET; ENVIRONMENTAL MODELING; MASS BALANCE; PRINCIPAL COMPONENT ANALYSIS;

AIR QUALITY CONTROL; ALGORITHM; ARTICLE; CHINA; MATHEMATICAL MODEL; MEASUREMENT ERROR; NCPCRCMB MODEL;

AIR POLLUTION; CHINA; MODELS, CHEMICAL; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

CHINA;

EID: 72249107759     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es902785c     Document Type: Article

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