Maryam Mohammadi , Ahmad Pirouzmand , Kamal Hadad , Abdorreza Alavi Gharahbagh
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A hybrid Lagrangian-artificial intelligence model for predicting the 3D dispersion of radionuclides in the Persian Gulf, part I: Validation
Assessing the behavior of radionuclides in the environment following nuclear accidents is critical for maintaining and enhancing the effectiveness of emergency preparedness and response programs. The Persian Gulf (PG), a marine environment with rich oil and gas resources, is one of the world's key waterways. The proximity of several nuclear power plants (NPPs) magnifies the need to study the dispersion of radioactive materials after an accident in this region. This paper is the first part of a research that aims to develop an emergency model to predict the three-dimensional (3D) distribution of radionuclides in the PG. The first part introduces and validates a Lagrangian transport model to predict radionuclide dispersion in the PG. As a necessary step, a hydrodynamic model based on ANNs is implemented to forecast 3D current fields, including baroclinic, wind-induced, and tidal currents. These predicted currents are then used as input for the transport model. The proposed transport model incorporates advection, diffusion, decay, and water-sediment interactions. The calculated results demonstrated the importance of using real wind and tidal data in the transport model. A temporal analysis of radionuclide dispersion in the PG is also conducted.
期刊介绍:
Progress in Nuclear Energy is an international review journal covering all aspects of nuclear science and engineering. In keeping with the maturity of nuclear power, articles on safety, siting and environmental problems are encouraged, as are those associated with economics and fuel management. However, basic physics and engineering will remain an important aspect of the editorial policy. Articles published are either of a review nature or present new material in more depth. They are aimed at researchers and technically-oriented managers working in the nuclear energy field.
Please note the following:
1) PNE seeks high quality research papers which are medium to long in length. Short research papers should be submitted to the journal Annals in Nuclear Energy.
2) PNE reserves the right to reject papers which are based solely on routine application of computer codes used to produce reactor designs or explain existing reactor phenomena. Such papers, although worthy, are best left as laboratory reports whereas Progress in Nuclear Energy seeks papers of originality, which are archival in nature, in the fields of mathematical and experimental nuclear technology, including fission, fusion (blanket physics, radiation damage), safety, materials aspects, economics, etc.
3) Review papers, which may occasionally be invited, are particularly sought by the journal in these fields.