Pure and applied geophysics, 2021-03, Vol.178 (3), p.757-776
2021
Details
- Autor(en) / Beteiligte
- Titel
- Simultaneous Model Calibration and Source Inversion in Atmospheric Dispersion Models
- Ist Teil von
- Pure and applied geophysics, 2021-03, Vol.178 (3), p.757-776
- Ort / Verlag
- Cham: Springer International Publishing
- Erscheinungsjahr
- 2021
- Link zum Volltext
- Quelle
- SpringerLink
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0033-4553eISSN: 1420-9136DOI: 10.1007/s00024-019-02348-4Titel-ID: cdi_proquest_journals_2518855026
- Format
- –
- Schlagworte
- Analytical chemistry, Approximation, Atmospheric diffusion, Atmospheric dispersion, Atmospheric models, Bayesian analysis, Calibration, Dispersion, Dispersion models, Earth and Environmental Science, Earth Sciences, Forensic sciences, Gaussian process, Geophysics/Geodesy, Industrial emissions, Inverse problems, Inversion, Mathematical models, Partial differential equations, Pollutants, Pollution dispersion, Probability theory, Simulation, Smelting, Zinc