Reviving MILORD long-range model for simulating the dispersion of the release during fukushima nuclear power plant accident

Marco Boetti, Silvia Trini Castelli, Enrico FERRERO

Risultato della ricerca: Capitolo in libro/report/atti di convegnoContributo in volume (Capitolo o Saggio)peer review

Abstract

This work focuses on long range dispersion using the numerical model MILORD, a Lagrangian particle model capable of simulating transport, dispersion, removal and deposition of tracers. The chosen case study concerns the release of Caesium isotope 137Cs from Fukushima Daichi nuclear plant caused by the earthquake and the subsequent tsunami in March 2011. 137Cs deposition in the affected area is reproduced from 11 March until the end of that month. In order to evaluate and improve the model, simulations results are compared to station measurements and a sensitivity analysis is performed. A comparison with results of other models is briefly discussed based on a statistical analysis.

Lingua originaleInglese
Titolo della pubblicazione ospiteSpringer Proceedings in Complexity
EditoreSPRINGER
Pagine387-391
Numero di pagine5
ISBN (stampa)978-3-319-57644-2
DOI
Stato di pubblicazionePubblicato - 2018

Keywords

  • Applied Mathematics
  • Computer Science Applications1707 Computer Vision and Pattern Recognition
  • Fukushima accident
  • Long-range dispersion
  • Model evaluation
  • Modeling and Simulation

Fingerprint

Entra nei temi di ricerca di 'Reviving MILORD long-range model for simulating the dispersion of the release during fukushima nuclear power plant accident'. Insieme formano una fingerprint unica.

Cita questo