Bayesian inversion of concentration data: Source reconstruction in the adjoint representation of atmospheric diffusion

Journal of Wind Engineering and Industrial Aerodynamics

Volumn 96, Issue 10-11, 2008, Pages 1805-1816

  Yee, Eugene ^a   Lien, Fue Sang ^b   Keats, Andrew ^b   D'Amours, Réal ^c  

^a DEFENCE RESEARCH AND DEVELOPMENT CANADA   (Canada)

^b UNIVERSITY OF WATERLOO   (Canada)

^c ENVIRONMENT CANADA   (Canada)

Author keywords

Adjoint representation; Atmospheric diffusion; Bayesian inference; Inverse problems; Source reconstruction; Source receptor relationship

Indexed keywords

ADVECTION; BAYESIAN NETWORKS; CHLORINE COMPOUNDS; COMPUTATIONAL FLUID DYNAMICS; CONCENTRATION (PROCESS); DIFFERENCE EQUATIONS; DIFFERENTIAL EQUATIONS; DIFFERENTIATION (CALCULUS); DIFFUSION; DISPERSION (WAVES); DISPERSIONS; LINEAR EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS; PROBABILITY; PROBABILITY DISTRIBUTIONS; REPAIR; RESTORATION; RISK ASSESSMENT; SEMICONDUCTOR DOPING;

ADJOINT; ADJOINT REPRESENTATION; ADVECTION-DIFFUSION EQUATION; ARRAY OF SENSORS; ATMOSPHERIC DIFFUSION; BAYESIAN; BAYESIAN INFERENCE; BAYESIAN INFERENTIAL METHODOLOGY; BAYESIAN INVERSION; BAYESIAN PROBABILITY THEORY; COMPLEX ENVIRONMENTS; COMPUTATIONALLY EFFICIENT; CONCENTRATION DATA; CONTAMINANT DISPERSIONS; EMISSION RATES; EULERIAN; INVERSE PROBLEMS; LAGRANGIAN; LIKELIHOOD FUNCTIONS; PARTIAL DIFFERENTIAL; POSTERIOR PROBABILITIES; S OURCE PARAMETERS; SOURCE DISTRIBUTIONS; SOURCE RECONSTRUCTION; SOURCE-RECEPTOR RELATIONSHIP; SOURCE-RECEPTOR RELATIONSHIPS; STOCHASTIC DIFFERENTIAL EQUATION; TURBULENT DISPERSION;

PROBABILITY DENSITY FUNCTION;

EID: 49249119463     PISSN: 01676105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jweia.2008.02.024     Document Type: Article

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