An integrated probabilistic risk assessment methodology for maritime transportation of spent nuclear fuel based on event tree and hydrodynamic model

被引:22
作者
Tao, Longlong [1 ,2 ]
Chen, Liwei [1 ,3 ]
Ge, Daochuan [1 ]
Yao, Yuantao [1 ]
Ruan, Fang [1 ,2 ]
Wu, Jie [1 ]
Yu, Jie [1 ]
机构
[1] Chinese Acad Sci, Inst Nucl Energy Safety Technol, HFIPS, Hefei 230031, Peoples R China
[2] Univ Sci & Technol China, Hefei 230026, Peoples R China
[3] Hefei Normal Univ, Sch Comp Sci & Technol, Hefei 230601, Peoples R China
基金
中国国家自然科学基金;
关键词
Spent nuclear fuel; Maritime transportation; Multiple risk indicators; IPRA; Public radioactive risks; BAYESIAN NETWORK; MARINE TRANSPORTATION; SAFETY ASSESSMENT; ACCIDENT; DISPERSION; SIMULATION; TOOL; CONSEQUENCES; SYSTEMS; SEA;
D O I
10.1016/j.ress.2022.108726
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Spent nuclear fuel maritime transportation (SNFMT) accident may cause radiation hazards to personnel, vessels, and the ocean environment. Current risk assessment methods of SNFMT lack full consideration and quantifi-cation of the risk indicators. In this work, an integrated probabilistic risk assessment (IPRA) methodology incorporating multiple risk factors-based accident probability model and public dose-based radiological conse-quence model quantitatively is proposed for SNFMT. First, from the sociotechnical-environmental risk perspective, the SMCETC (Ship, Management, Crew, Environment, Tank, Channel) comprehensive risk indicators are identified for ET-FT modeling. Second, considering the effects of continuous emissions, water depth, tidal cycle, and radioactive decay, a shallow water equations-based hydrodynamic model is established to simulate the radionuclide concentration in coastal water. Third, the ET-FT model-based accident frequency and the radio-nuclide concentration-based population radiation consequence are integrated, and subsequently the public radioactive risks are obtained. Finally, a case study is presented to demonstrate the feasibility and value of the proposed method. The time-related public radioactive risks were quantified and 28 highly safety importance risk factors were found and ranked. The proposed IPRA methodology integrates deterministic and probabilistic modeling perspectives, and provides a comprehensive risk assessment tool for SNFMT.
引用
收藏
页数:14
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