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Simultaneous Model Calibration and Source Inversion in Atmospheric Dispersion Models

García, Juan G. and Hosseini, Bamdad and Stockie, John M. (2021) Simultaneous Model Calibration and Source Inversion in Atmospheric Dispersion Models. Pure and Applied Geophysics, 178 (3). pp. 757-776. ISSN 0033-4553. doi:10.1007/s00024-019-02348-4.

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We present a cost-effective method for model calibration and solution of source inversion problems in atmospheric dispersion modelling. We use Gaussian process emulations of atmospheric dispersion models within a Bayesian framework for solution of inverse problems. The model and source parameters are treated as unknowns and we obtain point estimates and approximation of uncertainties for sources while simultaneously calibrating the forward model. The method is validated in the context of an industrial case study involving emissions from a smelting operation for which cumulative monthly measurements of zinc particulate depositions are available.

Item Type:Article
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Stockie, John M.0000-0001-7519-4311
Additional Information:© Springer Nature Switzerland AG 2019. Received 14 June 2018; Revised 18 July 2019; Accepted 17 October 2019; Published 31 October 2019. This work was partially supported by the Natural Sciences and Engineering Research Council of Canada through a Postdoctoral Fellowship (BH) and a Discovery Grant (JMS). We are grateful to the Environmental Management Group at Teck Resources Ltd. (Trail, BC) for providing data and for many useful discussions.
Funding AgencyGrant Number
Natural Sciences and Engineering Research Council of Canada (NSERC)UNSPECIFIED
Subject Keywords:Atmospheric dispersion, particle deposition, inverse source identification, Bayesian estimation, uncertainty quantification
Issue or Number:3
Classification Code:Mathematics Subject Classification: 62F15; 65M08; 65M32; 86A10
Record Number:CaltechAUTHORS:20191031-124926478
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Official Citation:García, J.G., Hosseini, B. & Stockie, J.M. Pure Appl. Geophys. (2019).
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99585
Deposited By: George Porter
Deposited On:31 Oct 2019 20:13
Last Modified:30 Apr 2021 21:24

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