Forecasting size-fractionated particle number concentrations in the urban atmosphere

Atmospheric Environment

Volumn 46, Issue , 2012, Pages 155-163

  Mølgaard, Bjarke ^a   Hussein, Tareq ^b   Corander, Jukka ^a   Hämeri, Kaarle ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

^b UNIVERSITY OF JORDAN   (Jordan)

Author keywords

Aerosol; Bayesian learning; Forecast; Number concentration; Statistics

Indexed keywords

AIR POLLUTANT CONCENTRATIONS; AIRBORNE PARTICULATE MATTERS; AUTO-REGRESSIVE; BAYESIAN FRAMEWORKS; BAYESIAN LEARNING; COVARIATES; ERROR TERMS; FORECAST; FORECAST DISTRIBUTION; HELSINKI; HUMAN HEALTH; LEARNING DATA; MARKOV CHAIN MONTE CARLO; METEOROLOGICAL PARAMETERS; NUMBER CONCENTRATION; PARAMETRIC REGRESSION; PARTICLE CONCENTRATIONS; PARTICLE NUMBER CONCENTRATION; STATISTICAL MODELS; TIME RESOLUTION; TRAFFIC DATA; TRAFFIC INTENSITY; ULTRAFINE PARTICLE; URBAN AREAS; URBAN ATMOSPHERES; URBAN BACKGROUND; URBAN LOCATIONS;

AEROSOLS; AIR POLLUTION; MARKOV PROCESSES; PARTICLE SIZE; PARTICLE SIZE ANALYSIS; PARTICLES (PARTICULATE MATTER); PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; STATISTICS;

WEATHER FORECASTING;

AEROSOL; ATMOSPHERIC POLLUTION; BAYESIAN ANALYSIS; CONCENTRATION (COMPOSITION); DATA SET; DIAMETER; ERROR ANALYSIS; FORECASTING METHOD; FRACTIONATION; HEALTH RISK; MARKOV CHAIN; MEASUREMENT METHOD; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PARTICLE SIZE; POLLUTION EXPOSURE; REGRESSION ANALYSIS; URBAN AREA;

ARTICLE; ATMOSPHERE; BAYES THEOREM; FORECASTING; METEOROLOGY; MONTE CARLO METHOD; PARTICLE SIZE; PARTICULATE MATTER; PRIORITY JOURNAL; PROBABILITY; STATISTICAL MODEL; URBAN AREA;

ETELA SUOMEN; FINLAND; HELSINKI;

EID: 82955232853     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2011.10.004     Document Type: Article

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