Application of Bayesian Monte Carlo analysis to a Lagrangian photochemical air quality model

Atmospheric Environment

Volumn 34, Issue 5, 2000, Pages 781-792

  Bergin, Michelle S ^a   Milford, Jana B ^a  

^a UCB 450   (United States)

Author keywords

Air quality modeling; Uncertainty analysis; Urban ozone

Indexed keywords

BAYESIAN MONTE CARLO (BMC) ANALYSIS;

AIR QUALITY; GAS EMISSIONS; INTERPOLATION; MONTE CARLO METHODS; NITROGEN OXIDES; OZONE; PHOTOCHEMICAL REACTIONS; VOLATILE ORGANIC COMPOUNDS;

ATMOSPHERIC CHEMISTRY;

GROUND WATER; NITROGEN OXIDE; OZONE; SURFACE WATER;

AIR QUALITY; ATMOSPHERIC POLLUTION; BAYESIAN ANALYSIS; LAGRANGIAN ANALYSIS; MONTE CARLO ANALYSIS;

AIR POLLUTION; AIR QUALITY; ARTICLE; BAYES THEOREM; EXHAUST GAS; MODEL; MOTOR VEHICLE; PREDICTION; PRIORITY JOURNAL; PROBABILITY; SYSTEM ANALYSIS; URBAN AREA;

UNITED STATES;

EID: 0033990556     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1352-2310(99)00346-5     Document Type: Article

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