Bayesian inference for source determination with applications to a complex urban environment

Atmospheric Environment

Volumn 41, Issue 3, 2007, Pages 465-479

  Keats, Andrew ^a   Yee, Eugene ^b   Lien, Fue Sang ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

^b DEFENCE RESEARCH AND DEVELOPMENT CANADA   (Canada)

Author keywords

Adjoint equations; Bayesian inference; Dispersion modelling; Source determination; Urban flows

Indexed keywords

MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; REAL TIME SYSTEMS; SENSORS;

ADJOINT EQUATIONS; BAYESIAN INFERENCE; DISPERSION MODELLING; SOURCE DETERMINATION; URBAN FLOWS;

PROBLEM SOLVING;

BAYESIAN ANALYSIS; DATA SET; FIELD METHOD; MARKOV CHAIN; MEASUREMENT METHOD; MONTE CARLO ANALYSIS; REAL TIME; SENSOR; URBAN AREA;

ARTICLE; BAYES THEOREM; CALCULATION; CONCENTRATION (PARAMETERS); METHODOLOGY; MONTE CARLO METHOD; PRIORITY JOURNAL; PROBABILITY; URBAN AREA;

NORTH AMERICA; OKLAHOMA [UNITED STATES]; UNITED STATES;

EID: 33845382594     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2006.08.044     Document Type: Article

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