| Issue |
E3S Web Conf.
Volume 280, 2021
Second International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2021)
|
|
|---|---|---|
| Article Number | 09001 | |
| Number of page(s) | 10 | |
| Section | Innovative Approaches for Solving Environmental Issues | |
| DOI | https://doi.org/10.1051/e3sconf/202128009001 | |
| Published online | 30 June 2021 | |
Source term model of radioactive liquid spills for actual decision support systems
1 State Scientific and Technical Center for Nuclear and Radiation Safety, 35-37 V. Stusa Str., Kyiv, 03142, Ukraine
2 State Institution “The Institute of Environmental Geochemistry of National Academy of Sciences of Ukraine”, Department of environmental protection technologies and radiation safety, 34a Palladin Ave., Kyiv, 03142, Ukraine
3 G.E. Pukhov Institute for Modelling in Energy Engineering of NAS of Ukraine, Department of Mathematical and Econometric Modeling, 15 General Naumova Str., Kyiv, 03164, Ukraine
4 Interregional Academy of Personnel Management, 2 Frometivska Str., Kyiv, 03039, Ukraine
5 National Aviation University, Faculty of Environmental Safety, Engineering and Technology, 1 Liubomyra Huzara Ave., Kyiv, 03058, Ukraine
6 Clemson University, Department of Environmental Engineering and Earth Sciences, 342 Computer Court, Anderson, SC 29625, United States of America
7 PLEJADES GmbH - Independent Experts, Feldstr. 5 D-64347, Griesheim, Germany
* Corresponding author: uo_kyrylenko@sstc.ua
Spills of liquid radioactive material are reviewed as potential event that can be associated with release into the atmosphere. Existing approaches to radiological impact assessment for onsite as well as offsite of facility are presented. The example of using the actual Java version of the European RODOS system as prototype of the decision support system shows the general implementation of the analysis and preparation of initial data in order to model the radiological impact on the public, personnel and environment. Given the specifics of the occurrence of emergency scenarios of this type, features of atmospheric models application, description of the source term model, software integration features, ventilation task solving, completeness and format of the initial data required for radiological consequence modelling.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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