Improvement of predicted fine and total particulate matter (PM) composition by applying several different chemical scenarios: A winter 2005 case study

Science of the Total Environment

Volumn 385, Issue 1-3, 2007, Pages 284-296

  Titov, Mikhail ^a   Sturman, Andrew ^a   Zawar Reza, Peyman ^a  

^a UNIVERSITY OF CANTERBURY   (New Zealand)

Author keywords

CAMx4.2; Chemical scenario; Linear regression; MM5; PM2.5 PM10 ratio

Indexed keywords

CONCENTRATION (PROCESS); LINEAR REGRESSION; MATHEMATICAL MODELS; PROBLEM SOLVING;

AEROSOL CONCENTRATIONS; CHEMICAL SCENARIO;

PARTICLES (PARTICULATE MATTER);

AEROSOL; CHEMICAL COMPOSITION; CONCENTRATION (COMPOSITION); EMISSION; PARTICULATE MATTER; PREDICTION; THREE-DIMENSIONAL MODELING; WINTER;

AEROSOL; ARTICLE; CHEMICAL COMPOSITION; CONCENTRATION (PARAMETERS); DIAGNOSTIC ACCURACY; FINE PARTICULATE MATTER; LINEAR REGRESSION ANALYSIS; MATHEMATICAL ANALYSIS; NEW ZEALAND; PARTICULATE MATTER; PREDICTION; PRIORITY JOURNAL; TOTAL PARTICULATE MATTER; WINTER;

AEROSOLS; AIR POLLUTANTS; ENVIRONMENTAL MONITORING; METEOROLOGICAL FACTORS; MODELS, THEORETICAL; NEW ZEALAND; PARTICLE SIZE; PARTICULATE MATTER; PREDICTIVE VALUE OF TESTS; SEASONS;

AUSTRALASIA; CANTERBURY [SOUTH ISLAND]; CHRISTCHURCH; NEW ZEALAND; SOUTH ISLAND;

EID: 34548462536     PISSN: 00489697     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2007.06.034     Document Type: Article

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