Institute of Information Theory and Automation

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Source-Term Determination of Radionuclide Releases by Inverse Atmospheric Dispersion Modelling (STRADI)

Agency: 
MSMT
Identification Code: 
7F14287
Start: 
2014-09-01
End: 
2017-04-30
Project Focus: 
teoretický
aplikační
Project Type (EU): 
other
Abstract: 
This proposal brings together experts in information theory with experts in atmospheric dispersion modelling, to tackle a particularly difficult and highly relevant scientific problem. The overall goal of this project is to develop methods for determining the source term of an accidental release of radionuclides or other hazardous substances into the atmosphere which is suitable for both real-time application (e.g., for emergency preparedness) and assessment of environmental damages. The focus of the project will be on determination of activity of an accidental release of radiation from a nuclear power plant using measurements of gamma doses (or combination of gamma doses and concentrations) but the method will be equally useable for other atmospheric point-source releases, and may also lead to improvements in related fields (e.g., determination of greenhouse gas sources). In order to achieve this objective, we need to improve the tools used for atmospheric dispersion modelling as well as the statistical tools used for inverse modelling. All partners of this project have experience with this task and contributed novel ideas in various aspect of this problem in their previous work. We intend to combine the expertise of NILU in atmospheric modelling with that of UTIA and EPFL in uncertainty modelling and statistical inference. We believe that this unique complementarity will allow us to deliver results that will be useful for a wider class of inverse modelling problems and significantly contribute to the basic results of environmental research. Since consortium members have already established contacts with national and international radiation protection authorities, the developed methods may be immediately useful and ready for their own applications.
Publications ÚTIA: 
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vkralova: 2016-07-13 10:02