Skip to main content
Log in

Environmental Exposure Assessment for Emergency Response in a Nuclear Power Plant Using an Integrated Source Term and 3D Numerical Model

  • Published:
Environmental Modeling & Assessment Aims and scope Submit manuscript

Abstract

Nuclear power plants are normally assumed to be safe when their radiation impact in all operational states is kept at a reasonably low level. However, accidentally released radioactive substances and ionizing radiation may lead to a situation that cannot maintain the regulatory prescribed dose limits for internal and external exposure of the personnel and population. Nuclear emergency preparedness and response in nuclear or radiological events have been of concern recently in international communities. Nuclear power plants may need to provide essential information regarding possible scenarios of accidental releases that might have short-term detrimental effects and long-term risks in nearby populated regions. This paper presents a synergistic integration of a source term model and a three-dimensional, time-dependent, numerical model (i.e., HOTMAC/RAPTAD), which was applied to simulate a specific scenario in which a vapor cloud was accidentally released from Maanshan (i.e., the third nuclear power plant) in South Taiwan. It aims at dealing with middle-range risk assessment for nuclear emergency preparedness and response. The solutions of such an integrated modeling platform can be found with numerical analyses that describe the processes of radionuclide generation, transport, decay, and deposition, giving the final risk assessment in a neighboring coastal city—Kaohsiung, South Taiwan. In addition, sensitivity analyses were performed to evaluate the internal consistency of model parameters, which further support the application potentials. Such a modeling technique is valuable because it can characterize the fate and transport of radioactive nuclides over the long term. The case study in South Taiwan uniquely demonstrates the feasibility and significance of such model integration.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Applied Physics Laboratory. (1983). A systems study of regional air transport modeling for emergency response application. Rep. No. PPSE T-22. The Johns Hopkins University, Baltimore, Maryland, USA.

  2. Chang, W. B. (1987). Evaluation of accident from nuclear power plant using Gaussian puff model instead of Gaussian plume model. Masters thesis, National Tsing-Hua University, Taiwan, R.O.C.

  3. Garger, E. K., Hoffman, F. O., & Miller, C. W. (1996). Model testing using Chernobyl data: III. Atmospheric resuspension of radionuclides in Ukrainian regions impacted by Chernobyl fallout. Health Physics, 70(1), 18–24. doi:10.1097/00004032-199601000-00004.

    Article  CAS  Google Scholar 

  4. Kao, C. -Y. J., & Yamada, T. (1988). Use of the CAPTEX data for evaluations of a long-range transport model with a four-dimensional data assimilation technique. Monthly Weather Review, 116, 293–306. doi:10.1175/1520-0493(1988)116<0293:UOTCDF>2.0.CO;2.

    Article  Google Scholar 

  5. Konoplev, A. A., & Bulgakov, A. A. (1996). Model testing using Chernobyl data: I. wash-off of 90Sr and 137Cs from two experimental plots established in the vicinity of the Chernobyl reactor. Health Physics, 70(1), 8–12. doi:10.1097/00004032-199601000-00002.

    Article  CAS  Google Scholar 

  6. Kryshev, I. I., & Sazykina, T. G. (1996). Model testing using Chernobyl data: II. Assessment of the consequences of the radioactive contamination of the Chernobyl nuclear power plant cooling pond. Health Physics, 70(1), 13–17. doi:10.1097/00004032-199601000-00003.

    Article  CAS  Google Scholar 

  7. Maryon, R. H. (1994). Modelling the long range transport of radionuclides following a nuclear accident. Nuclear Energy, 33(2), 119–128.

    CAS  Google Scholar 

  8. Mellor, G. L., & Yamada, T. (1974). A hierarchy of turbulence closure models for planetary boundary layers. Journal of the Atmospheric Sciences, 31, 1791–1806. doi:10.1175/1520-0469(1974)031<1791:AHOTCM>2.0.CO;2.

    Article  Google Scholar 

  9. Mellor, G. L., & Yamada, T. (1982). Development of a turbulence closure model for geophysical fluid problems. Reviews of Geophysics and Space Physics, 20, 851–875. doi:10.1029/RG020i004p00851.

    Article  Google Scholar 

  10. Micro-Simulation Technology. 2006. PCTRAN/PWR: Personal Computer Transient Analyzer For a Two-loop PWR, http://www.iaea.or.at/OurWork/ST/NE/NENP/NPTDS/Downloads/Simulators/Manual_PCTRAN.pdf

  11. Po, L.-C. (1993). The functionality of PCTRAN. Nuclear Engineering International, 36–39.

  12. Ritchie, L. T., Johnson, J. D., & Blond, R. M. (1983) Calculation of Reactor Accident Consequence (CRAC2), NRC report, NURGE/CR-2326. Sandia National Laboratory, NM, USA.

  13. Sasamori, T. (1968). The radiative cooling calculation for application to general circulation experiments. Journal of Applied Meteorology, 7, 721–729. doi:10.1175/1520-0450(1968)007<0721:TRCCFA>2.0.CO;2.

    Article  Google Scholar 

  14. United States Environmental Protection Agency (US EPA). (1995). US-EPA ISC3, User’s Guide for the Industrial Source Complex Dispersion Model, EPA-454/B-95-003a and EPA-454/B-95-003b.

  15. Yamada, T. (1981). A numerical simulation of nocturnal drainage flow. Journal of the Meteorological Society of Japan, 59, 108–122.

    Google Scholar 

  16. Yamada, T. (1983). Simulations of nocturnal drainage flows by a q2l Turbulence Closure Model. Journal of the Atmospheric Sciences, 40, 91–106. doi:10.1175/1520-0469(1983)040<0091:SONDFB>2.0.CO;2.

    Article  Google Scholar 

  17. Yamada, T. (2004). Merging CFD and atmospheric modeling capabilities to simulate airflows and dispersion in urban areas. Computational Fluid Dynamics, 13(2), 329–341.

    Google Scholar 

  18. Yamada, T., Kao, C.-Y. J., & Bunker, S. (1987). Air flow and air quality simulations over the western intermountainous region with a four-dimensional data assimilation technique. Atmospheric Environment, 23, 539–554. doi:10.1016/0004-6981(89)90003-6.

    Google Scholar 

  19. Yeung, R., & Ching, M. K. (1993). RADIS—a regional nuclear accident consequence analysis model for Hong Kong. Nuclear Technology, 101(2), 123–139.

    CAS  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the technical advice from Dr. C.-Y. J. Kao in terms of 3D modeling and the help from Dr. Ammarin Makkeasorn in reproduction of four diagrams of Figs. 6, 7, 8 and 9.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ni-Bin Chang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tseng, C.C., Chang, NB. Environmental Exposure Assessment for Emergency Response in a Nuclear Power Plant Using an Integrated Source Term and 3D Numerical Model. Environ Model Assess 14, 661–675 (2009). https://doi.org/10.1007/s10666-008-9182-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10666-008-9182-2

Keywords

Navigation