Prediction of ozone concentration in ambient air using multivariate methods

Chemosphere

Volumn 57, Issue 8, 2004, Pages 889-896

  Lengyel, A ^a   Heberger K ^b   Paksy, L ^a   Banhidi O ^a,c   Rajko R ^d  

^a UNIVERSITY OF MISKOLC   (Hungary)

^b CHEMICAL RESEARCH CENTER   (Hungary)

^c DAM STEEL Co   (Hungary)

^d UNIVERSITY OF SZEGED   (Hungary)

Author keywords

Ambient air; Environmental data; Modeling of ozone concentration; Partial least squares (PLS); Principal component analysis (PCA); Principal component regression (PCR)

Indexed keywords

AIR; LEAST SQUARES APPROXIMATIONS; MULTIVARIABLE CONTROL SYSTEMS; NUMERICAL METHODS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; STATISTICAL METHODS;

AMBIENT AIR; MULTIPLE LINEAR REGRESSION (MLR); OZONE CONCENTRATION; PARTIAL LEAST SQUARES (PLS);

OZONE LAYER;

OZONE;

AMBIENT AIR; ATMOSPHERIC CHEMISTRY; LEAST SQUARES METHOD; MULTIVARIATE ANALYSIS; OZONE; PRINCIPAL COMPONENT ANALYSIS;

AMBIENT AIR; ARTICLE; CONCENTRATION (PARAMETERS); LINEAR REGRESSION ANALYSIS; METEOROLOGY; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION; PHOTOCHEMISTRY; POLYMERASE CHAIN REACTION; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; TRAFFIC;

BORSOD-ABAUJ-ZEMPLEN; CENTRAL EUROPE; EURASIA; EUROPE; HUNGARY; MISKOLC;

EID: 5544251157     PISSN: 00456535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2004.07.043     Document Type: Article

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