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Off-site risk area delineation under severe nuclear accident conditions: A deterministic-probabilistic coupled
Shengyu Liu1, Hongchun Ding2, Alice Hu1
1Department of Mechanical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China.
This study introduces a new framework for nuclear power plant (NPP) emergency planning, improving risk area delineation for public health during severe accidents. It accounts for uncertainties in radioactive material release and weather, enhancing preparedness.
Area of Science:
- Nuclear Engineering
- Environmental Science
- Public Health
Background:
- Effective emergency preparedness for nuclear power plant (NPP) emergencies requires clear risk area definition.
- Uncertainty in radioactive material release and dispersion complicates emergency management.
Purpose of the Study:
- To develop a coupled deterministic-probabilistic framework for delineating risk areas during severe nuclear accidents.
- To enhance emergency public health planning by accounting for multiple uncertainties in radionuclide dispersion.
Main Methods:
- Utilized Monte Carlo simulations with the CALPUFF atmospheric dispersion model.
- Incorporated uncertainties from source terms and meteorological factors.
- Employed Value-at-Risk (VaR) for probabilistic risk assessment and defining risk boundaries.
Main Results:
- The framework effectively delineated risk areas around the Fukushima Daiichi NPP (FDNPP), encompassing the 20 km Emergency Planning Zone (EPZ).
- Demonstrated universality for different NPPs, with terrain and meteorology influencing directional risk distribution.
- Seasonal analysis revealed prevailing winds significantly impact risk area heterogeneity.
Conclusions:
- The proposed framework provides robust risk area delineations for severe nuclear accidents.
- Accounting for terrain, meteorological conditions, and seasonal variations is crucial for effective emergency planning.
- This approach enhances public health preparedness during nuclear emergencies.
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