Simulation of nuclear atmospheric emission for hypothesis accident in Bushehr NPP using numerical weather prediction model

The importance of using clean energies in other parts of the energy has become apparent to everybody. In the meantime, nuclear energy and its use in generating electricity is part of a relatively clean energy. On the other hand, the incident at nuclear power plants, like the Chernobyl and Fukushima incidents, has long-term and adverse effects on the environment and human health. It also has a continental scale, and the transmission, transference, and transport of radioactive material caused by it is miles away from the site of the incident. Considering the importance of using meteorological models in predicting and tracking the transmission paths of pollutants and, on the other hand, integrating them with pollution diffusion models can reduce some of its consequences and impacts. The purpose of this paper is to investigate the distribution of radioactive substance such as iodine 131 due to the biological effects of this substances in the event of an accident at Bushehr Power Plant, Which due to factors like wind direction and wind speed and topographic conditions of the environment, the amount of propagation and release of this substance is discussed. For this purpose, using the WRF-chem prediction model, the meteorological data input were obtained to the AERMOD Gaussian model. Then, using AERMOD software, was calculated and modeled for dispersion and propagation of this material. For the purpose of model verification and closer examination, meteorological data were simulated in four different seasons of 2018.