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- W319258734 abstract "The determination of the emission source distribution (source reconstruction) from the limited information provided by a finite and noisy set of concentration measurements obtained from real-time sensors is a difficult problem. A Bayesian probabilistic inferential framework is applied to solve this problem. A model that relates the source distribution to the concentration data is formulated and Bayesian probability theory is used to derive the posterior probability for the source parameters (e.g., location, emission rate). The Bayesian inference methodology for source reconstruction is validated against real dispersion data sets." @default.
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- W319258734 date "2006-07-14" @default.
- W319258734 modified "2023-09-22" @default.
- W319258734 title "Validation of Bayesian Inference for Emission Source Distribution Reconstruction Using the Joint Urban 2003 and European Tracer Experiments" @default.
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