Combined use of principal component analysis (PCA) and chemical mass balance (CMB) for source identification and source apportionment in air pollution modeling studies

Water, Air, and Soil Pollution

Volumn 212, Issue 1-4, 2010, Pages 429-439

  Demir, Selami ^a   Saral, Arslan ^a   Ertürk, Ferruh ^a   Kuzu, Levent ^a  

^a YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Air pollution modeling; Chemical mass balance; PCA CMB combination; Performance; Principal component analysis

Indexed keywords

AIR POLLUTION MODELING; CHEMICAL MASS BALANCE; PCA-CMB COMBINATION; PERFORMANCE; PRINCIPAL COMPONENTS;

AIR QUALITY; CHEMICAL ANALYSIS; POLLUTION;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ATMOSPHERIC CHEMISTRY; ATMOSPHERIC POLLUTION; CHEMICAL POLLUTANT; DATA SET; ESTIMATION METHOD; MASS BALANCE; PRINCIPAL COMPONENT ANALYSIS; SIMULATION;

AIR ANALYSIS; AIR POLLUTION; ALGORITHM; ANALYTIC METHOD; ARTICLE; CHEMICAL MASS BALANCE; COMPUTER PREDICTION; COMPUTER PROGRAM; CONTROLLED STUDY; INFORMATION PROCESSING; INFORMATION RETRIEVAL; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY ANALYSIS; SIMULATION;

EID: 77957555057     PISSN: 00496979     EISSN: 15732932     Source Type: Journal    
DOI: 10.1007/s11270-010-0358-4     Document Type: Article

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