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| Numéro |
Radioprotection
Volume 51, December 2016
Innovative integrated tools and platforms for radiological emergency preparedness and post-accident response in Europe. Key results of the PREPARE European research project
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| Page(s) | S93 - S95 | |
| Section | Enhancing of the existing decision support systems with capabilities of importance – Extension of atmospheric dispersion and consequence modelling in Decision Support Systems | |
| DOI | https://doi.org/10.1051/radiopro/2016039 | |
| Publié en ligne | 23 décembre 2016 | |
- Andersson K.G. (2015a) Recommendations for taking into account different physico-chemical forms of contaminants in modelling deposition following a major NPP accident, PREPARE(WP4)-(15)-02. [Google Scholar]
- Andersson K.G. (2015b) Recommendations for taking into account low solubility particle contaminants in modelling post-deposition migration and decontamination following a major NPP accident, PREPARE(WP4)-(15)-01. [Google Scholar]
- Andersson K.G., Roos P., Lind O.C., Salbu B., Bujan A., Duranova T., Ikonomopoulos A., Andronopoulos S. (2013) Collection and assessment of existing data on physic-chemical properties of emitted radionuclides, and work to categorise accident scenarios accordingly, PREPARE(WP4)-(13)- 01. [Google Scholar]
- Brown J., Charnock T. (2013) Agreed experimental work on weathering to provide data for ERMIN, PREPARE(WP4)-(13)-02. [Google Scholar]
- Charnock T. (2016a) ERMIN interface implementing PREPARE project recommendations, PREPARE(WP4)-(16)-01. [Google Scholar]
- Charnock T. (2016b) Implementation of PREPARE recommendations in ERMIN, PREPARE(WP4)-(16)-02. [Google Scholar]
- Duran J., Duranova T. (2014) Conceptual design of the software tool for simple and fast estimate of source term using gamma dose rate measurements at the fence, PREPARE(WP4)-(14)-02. [Google Scholar]
- Duran J., Bohunova J., Duranova T. (2013) Methodology and computational methods for simple estimate of source term using gamma dose rate measurements at the fence, PREPARE(WP4)-(13)-03. [Google Scholar]
- Klein H., Bartnicki J. (2014) Development of the EEMEP model for applications in the ARGOS system, PREPARE(WP4)-(14)-03. [Google Scholar]
- Kovalets I., Hofman R., Seibert P., Andronopoulos S. (2013) Review of existing approaches of source inversion to be integrated in real-time nuclear emergency response system JRODOS, PREPARE(WP4)-(14)-01. [Google Scholar]
- Kovalets I., Hofman R., Seibert P., Andronopoulos S. (2014a) Techniques for handling multiple nuclides and unknown emission height in source term estimation, PREPARE(WP4)-(14)-04. [Google Scholar]
- Kovalets I., Hofman R., Seibert P., Andronopoulos S. (2014b) Dispersion modelling and 1st-guess source term uncertainties, PREPARE(WP4)-(14)-05. [Google Scholar]
- Kovalets I., Ievdin I., Andronopoulos S., Hofman R., Seibert P., Duran J., Duranova T. (2014c) Conceptual design of software modules for source term estimation, PREPARE(WP4)-(14)-06. [Google Scholar]
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