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NILU Radioactivity Data Inventory

Welcome to the NILU Radioactivity Data Inventory website.

Here you can find measurements related to nuclear accidents (e.g. Chernobyl, Fukushima etc.).

The website has been created in the frame of the project STRADI (Source-Term Determination of Radionuclide Releases by Inverse Atmospheric Dispersion Modelling), project ID: 7F14287, funded by the Research Council of Norway (Czech-Norwegian Research Programme).

This project 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 (Norwegian Institute for Air Research in atmospheric modelling with that of UTIA (Institute of Information Theory and Automation of the ASCR) and EPFL (Swiss Federal Institute of Technology in Lausanne) 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.