He jishu (Jan 2023)

Simulation of long distance transport and deposition of airborne nuclear pollutants based on Eulerian-Lagrangian method

  • ZHANG Yan,
  • QIAO Qingdang,
  • YANG Duanjie,
  • GUO Cai,
  • LIU Jinkai

DOI
https://doi.org/10.11889/j.0253-3219.2023.hjs.46.010003
Journal volume & issue
Vol. 46, no. 1
pp. 010003 – 010003

Abstract

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BackgroundIn the aspect of long-distance transport and deposition of airborne nuclear pollutants, Eulerian-Lagrangian method can combine the theoretical advantages of the Lagrange method and Euler method, but and there are few studies in China.PurposeThis study aims to verify the effectiveness of this method for long distance transport and deposition of airborne nuclear pollutants by simulating a nuclear leakage accident of one nuclear power plant in China.MethodsAssuming that a nuclear power plant in the eastern coastal area of China has a leakage similar to the Fukushima nuclear accident, the numerical simulation of the long-distance transport process of nuclear pollutants in the atmosphere was carried out by using the Euler-Lagrangian method of MATCH (Multi-scale Atmospheric Transport and Chemistry) module in JRODOS (Java Real-time On-line Decision Support) system. The results of surface deposition and the distribution of dose rate field were combined with the actual weather map to verify the trend.ResultsThe simulation and verification results show that the wet deposition plays an important role in the removal of nuclear pollutants, and the Eulerian-Lagrangian method can give the main characteristics of long-distance transport and deposition of nuclear pollutants in the atmosphere.ConclusionsThe simulation results are in good agreement with the actual weather trend, and this method can provide auxiliary reference for China's nuclear accident consequence assessment and emergency decision-making.

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