Semantic Scholar Open Access 2021 19 sitasi

The HotSpot Code as a Tool to Improve Risk Analysis During Emergencies: Predicting I-131 and CS-137 Dispersion in the Fukushima Nuclear Accident

A. Malizia A. Chierici S. Biancotto M. D’Arienzo G. Ludovici +3 lainnya

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Environmental Science

Penulis (8)

A. Malizia

A. Chierici

S. Biancotto

M. D’Arienzo

G. Ludovici

F. d'Errico

G. Manenti

Fabio Marturano

Format Sitasi

APA MLA BibTeX

Malizia, A., Chierici, A., Biancotto, S., D’Arienzo, M., Ludovici, G., d'Errico, F. et al. (2021). The HotSpot Code as a Tool to Improve Risk Analysis During Emergencies: Predicting I-131 and CS-137 Dispersion in the Fukushima Nuclear Accident. https://doi.org/10.18280/ijsse.110421

Akses Cepat

Lihat di Sumber doi.org/10.18280/ijsse.110421

Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Total Sitasi: 19×
Sumber Database: Semantic Scholar
DOI: 10.18280/ijsse.110421
Akses: Open Access ✓