Stochastic event reconstruction of atmospheric contaminant dispersion using Bayesian inference

Atmospheric Environment

Volumn 42, Issue 33, 2008, Pages 7718-7727

  Senocak, Inanc ^a   Hengartner, Nicolas W ^b   Short, Margaret B ^c   Daniel, W Brent ^b  

^a Boise State University   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

^c UNIVERSITY OF ALASKA FAIRBANKS   (United States)

Author keywords

Bayesian statistics; Event reconstruction; Gaussian plume models; Markov chain Monte Carlo (MCMC); Source characterization

Indexed keywords

ATMOSPHERIC TURBULENCE; BAYESIAN NETWORKS; CONCENTRATION (PROCESS); CONTAMINATION; DISPERSION (WAVES); INFERENCE ENGINES; MANAGEMENT; MARKOV PROCESSES; NETWORK PROTOCOLS; PARAMETER ESTIMATION; PROBABILITY; PROBABILITY DISTRIBUTIONS; REPAIR; RESTORATION; SENSOR NETWORKS; SENSORS; STOCHASTIC PROGRAMMING; TRELLIS CODES;

BAYESIAN STATISTICS; EVENT RECONSTRUCTION; GAUSSIAN PLUME MODELS; MARKOV CHAIN MONTE CARLO (MCMC); SOURCE CHARACTERIZATION;

STOCHASTIC MODELS;

ATMOSPHERIC PLUME; ATMOSPHERIC POLLUTION; BAYESIAN ANALYSIS; DETECTION METHOD; DISPERSION; ESTIMATION METHOD; MARKOV CHAIN; MODEL VALIDATION; MONTE CARLO ANALYSIS; PARAMETERIZATION; POLLUTANT TRANSPORT; RECONSTRUCTION; SENSOR; STOCHASTICITY;

AIR POLLUTION; ARTICLE; BAYES THEOREM; BIOSENSOR; DIFFUSION COEFFICIENT; DISPERSION; ENVIRONMENTAL FACTOR; MATHEMATICAL PARAMETERS; PRIORITY JOURNAL;

EID: 53749094775     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2008.05.024     Document Type: Article

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