An enhanced PM2.5 air quality forecast model based on nonlinear regression and back-trajectory concentrations

Atmospheric Environment

Volumn 44, Issue 25, 2010, Pages 3015-3023

  Cobourn, W Geoffrey ^a  

^a University of Louisville   (United States)

Author keywords

Air pollution; Air quality forecast; Empirical air quality model; Nonlinear regression; Particulate matter; PM2.5; Trajectory analysis

Indexed keywords

AIR QUALITY FORECASTS; AIR QUALITY MODELS; NON-LINEAR REGRESSION; PARTICULATE MATTER; PM2.5; TRAJECTORY ANALYSIS;

AIR QUALITY; CONCENTRATION (PROCESS); METEOROLOGY; REGRESSION ANALYSIS; TRAJECTORIES; WEATHER FORECASTING;

QUALITY CONTROL;

AIR QUALITY; ATMOSPHERIC POLLUTION; ERROR ANALYSIS; METROPOLITAN AREA; PARTICULATE MATTER; REGRESSION ANALYSIS; TRAJECTORY;

ACCURACY; AIR QUALITY; ARTICLE; BACK TRAJECTORY ANALYSIS; FORECASTING; MATHEMATICAL MODEL; METEOROLOGY; NONLINEAR REGRESSION ANALYSIS; PARTICULATE MATTER; PRIORITY JOURNAL; STATISTICAL ANALYSIS; TEMPERATURE;

KENTUCKY; LOUISVILLE; UNITED STATES;

EID: 77954313823     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2010.05.009     Document Type: Article

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