Open AccessThe HotSpot Code as a Tool to Improve Risk Analysis During Emergencies: Predicting I-131 and CS-137 Dispersion in the Fukushima Nuclear Accident
Author(s) -
Andrea Malizia,
Andrea Chierici,
Sergio Biancotto,
Marco D’Arienzo,
Gian Marco Ludovici,
Francesco D’Errico,
Guglielmo Manenti,
Fabio Marturano
Publication year - 2021
Publication title -
international journal of safety and security engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.202
H-Index - 10
eISSN - 2041-904X
pISSN - 2041-9031
DOI - 10.18280/ijsse.110421
Subject(s) - nuclear power , emergency response , risk analysis (engineering) , environmental science , fukushima nuclear accident , nuclear power plant , computer science , nuclear engineering , engineering , business , medical emergency , medicine , physics , nuclear physics
Conventional and non-conventional emergencies are among the most important safety and security concerns of the new millennium. Nuclear power and research plants, high-energy particle accelerators, radioactive substances for industrial and medical uses are all considered credible sources of threats both in warfare and in terror scenarios. Estimates of potential radiation releases of radioactive contamination related to these threats are therefore essential in order to prepare and respond to such scenarios. The goal of this paper is to demonstrate that computational modeling codes to simulate transport of radioactivity are extremely valuable to assess expected radiation levels and to improve risk analysis during emergencies helping the emergency planner and the first responders in the first hours of an occurring emergency.