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.
| Original language | English |
|---|---|
| Title of host publication | Springer Proceedings in Complexity |
| Publisher | SPRINGER |
| Pages | 387-391 |
| Number of pages | 5 |
| ISBN (Print) | 978-3-319-57644-2 |
| DOIs | |
| Publication status | Published - 2018 |
Keywords
- Applied Mathematics
- Computer Science Applications1707 Computer Vision and Pattern Recognition
- Fukushima accident
- Long-range dispersion
- Model evaluation
- Modeling and Simulation
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