{"title":"Numerical modeling and parameters analysis of marine radionuclide dispersion under the Fukushima Daiichi nuclear accident","authors":"Hongyu Li, Deyi Chen, Baojie Nie, Dezhong Wang","doi":"10.1016/j.pnucene.2025.105716","DOIUrl":null,"url":null,"abstract":"<div><div>Radioactive contaminated water was released into the Pacific Ocean under the Fukushima Daiichi nuclear accident in 2011. Knowledge of the marine radionuclide dispersion behaviors is significant to accurately evaluate radiation effects due to ocean discharge of radioactive contaminated water. The marine radionuclide dispersion is affected by wind field, tide, seafloor topography, temperature and salinity, etc. Significant uncertainty exists in marine radionuclide dispersion simulation with the consideration of complex environmental factors. MIKE 3 FM computational platform was used to establish a Fukushima marine radionuclide dispersion model driven by ocean current and tidal coupling boundary under consideration of various environmental factors. Further, the model accuracy validation with measurement data and inter-models’ comparison for bias mechanism analysis were performed based on the benchmark under the frame of IAEA MODARIA Programme. The effects of vertical distribution of layers mesh, grid resolution, temperature and salinity, horizontal diffusion parameters, wind characteristics as well as tidal forcing on the dispersion behavior were discussed. The results show that the established model can accurately describe the oceanic currents in the coastal waters of Fukushima and predict the dispersion trajectory, as well as concentration level and distribution. More vertical layers, wind-driven forces data and refined mesh for the area of concern should be considered to improve the predictive accuracy of model. The modeling and parameters analysis can help to decrease uncertainty in predicting the levels of radioactivity in the adjutant waters east of the Fukushima site.</div></div>","PeriodicalId":20617,"journal":{"name":"Progress in Nuclear Energy","volume":"184 ","pages":"Article 105716"},"PeriodicalIF":3.3000,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Nuclear Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0149197025001143","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Radioactive contaminated water was released into the Pacific Ocean under the Fukushima Daiichi nuclear accident in 2011. Knowledge of the marine radionuclide dispersion behaviors is significant to accurately evaluate radiation effects due to ocean discharge of radioactive contaminated water. The marine radionuclide dispersion is affected by wind field, tide, seafloor topography, temperature and salinity, etc. Significant uncertainty exists in marine radionuclide dispersion simulation with the consideration of complex environmental factors. MIKE 3 FM computational platform was used to establish a Fukushima marine radionuclide dispersion model driven by ocean current and tidal coupling boundary under consideration of various environmental factors. Further, the model accuracy validation with measurement data and inter-models’ comparison for bias mechanism analysis were performed based on the benchmark under the frame of IAEA MODARIA Programme. The effects of vertical distribution of layers mesh, grid resolution, temperature and salinity, horizontal diffusion parameters, wind characteristics as well as tidal forcing on the dispersion behavior were discussed. The results show that the established model can accurately describe the oceanic currents in the coastal waters of Fukushima and predict the dispersion trajectory, as well as concentration level and distribution. More vertical layers, wind-driven forces data and refined mesh for the area of concern should be considered to improve the predictive accuracy of model. The modeling and parameters analysis can help to decrease uncertainty in predicting the levels of radioactivity in the adjutant waters east of the Fukushima site.
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.