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- W2182912184 abstract "Detection of a possible source of air pollution as a combination of measurements and inverse modelling, based on Bayesian statistics, has been proposed. The simplicity of the approach and its numerical efficiency qualifies this approach for the problem, especially when it is used in the operational mode. The method has been examined in its simplest form, with a single source and the implicit assumption that we know the moment of the release. The position of the possible source has been found as the maximum of the probability density function from an ensemble of possible sources that cover substantial part of the model domain. Members of the ensemble have been generated using a puff model. Search for the position consists of series of iterations converging toward the position of the source." @default.
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- W2182912184 date "2008-01-01" @default.
- W2182912184 modified "2023-09-26" @default.
- W2182912184 title "Iterative Inverse Modelling Method for Locating a Source of Air Pollution and Its Robustness" @default.
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