Спільне використання мобільної радіологічної лабораторії та системи підтримки прийняття рішень як ефективний підхід до аварійного моніторингу

• Дата: 2022
• Автори: Balashevska, Yu., Demchenko, M., Kyrylenko, Yu., Kotsuba, O., Pecherytsa, O., Shevchenko, I.
• Формат: Стаття
• Мова: Ukrainian
• Опубліковано: State Scientific and Technical Center for Nuclear and Radiation Safety 2022
• Онлайн доступ: https://nuclear-journal.com/index.php/journal/article/view/940
• Назва журналу: Nuclear and Radiation Safety

Radiation measurements and rapid analysis of contamination on areas around a nuclear power plant (NPP) in case of a severe accident are the best options to facilitate the decision-making process related to radiological hazards, in particular, for taking adequate actions to protect emergency workers, as well as for emergency countermeasures to protect the public. However, procedures for quick sampling and in-situ measurements are associated with practical difficulties, such as hazardous radiological conditions, limited time for data collection, etc. To make decisions on some protective measures at the initial stages of the emergency response, it may be sufficient to get the results of modelling the air transfer of radioactive substances based on the simulation of a certain scenario. In order to improve the accuracy of modelling and provide a reliable ground for data interpretation, it is considered reasonable to perform simultaneous radiation mapping and air sampling using a mobile laboratory in the areas adjacent to the location of a source term. Available IAEA methodologies and recommendations allow improvement in the capabilities of up-to-date modelling tools. This paper contributes to the development of a methodology for joint use of a decision support system and a mobile laboratory for the real-time emergency environmental monitoring around NPPs. The studies were undertaken within IAEA coordinated research project CRP J15002 and concern the use of RanidSONNI mobile laboratory and the European decision support system RODOS. The SSTC NRS recent experience of confirming the modelling results with the real measurement data provided by the mobile laboratory during the response to wildfires in the Chornobyl exclusion zone during the past years is used.