Acta Scientific Applied Physics (ASAP)

Review Article Volume 2 Issue 6

A Review of Nuclear Emergency System Adapted for Food Chain Model

Priscilla Oforiwaa1*, Nanaadom Abayie Nyarko2, Manchun Liang1, Guofeng SU1 and Li KE1

1Department of Engineering Physics, Tsinghua University, PR China
2Department of Industrial Engineering and Engineering Management, Western New England University, Springfield MA, USA

*Corresponding Author: Priscilla Oforiwaa, Department of Engineering Physics, Tsinghua University, PR China.

Received: July 15, 2021; Published: May 31, 2022


Food chain modeling development is a vital part of emergency planning and response in the field of nuclear industries, chemical industries, petroleum and fire. The adverse effects of some elements and their properties are of great importance in developing a decisive policy approach. Terrestrial food chain modelling gives the predictive approach and forecasted for effects of food substances to the general population. Nuclear Emergency Response and planning is a major block in the safety development of Nuclear Power plant. To react rapidly and adequately to a radiological crisis, significant level coordination is required between various stake-holders in higher organizational level.

In this paper, Nuclear Emergency systems are reviewed and analyzed; from their application in atmospheric dispersion to its application in terrestial models (food chain approach) and countermeasures. This study is a review of the existing Nuclear Emergency Planning and Response platform such RODOS< ARAC and WSPEEDI; the dynamics and the similarities of modelling approaches and its effectiveness in Food chain modelling and policies.

The conclusion from the study illustrate the need to develop a Robust Emergency system that for food chain predictions in radio-ecological situation.

Keywords: Emerging Prediction; Radiological; Food Chain; Modelling


  1. Radiation Monitoring and dose Estimation of the Fukushima Nuclear Accident, Tokyo: Springer (2014).
  2. S Y N C D Tarsitano., et al. "Evaluating and reducing a model of radioacaesium soil-plant uptake”. Journal of Environmental Radioactivity3 (2011): 262-269.
  3. S F A K NA Beresford. "Thirty years after the chernobyl accident; what lessons have we learnt”. Journal of Environmental Radioactivity 157 (2016): 77-89.
  4. M Chino., et al. "Speedi and wspeedi: japanese emergency response system to predict radiological impacts in local and worldwide areas due to a nuclear accident”. Radiation Protection Dosimetry 50 (1993): 145-152.
  5. R Mu., et al. "China Approach to Nuclear Safety-from the perspective of policy and institutional system”. Journal of Energy Policy 76 (2015): 161-172.
  6. GH Muller., et al. "ECOSYS-87; a dynamic model for assessing radiological consequences of nuclear accident”. Journal of Health Physics3 (1993): 232-252.
  7. D T M W R I levdin., et al. "RODOS re-engineering; aims and implementation details”. Radioprotection 5 (2010).
  8. PA Speed. "The Governance of Nuclear Power in China”. Journal of World Energy Law and Business, Oxford 13.1 (2020): 23-46.
  9. N B A N G C BJ Howard., et al. "The strategy project; decision tools to aid sustainable restoration and long-term magement of contaminated agricultural ecosystems”. Journal of Environmental Radioactive3 (2005): 275-295.
  10. "”. Tecnatom, 18 November (2019).
  11. W R W T C Landman., et al. "A proposed countermeasure simulation model for the new ICRP recommendation”. EDP Sciences (2013).
  12. A W J Ehrhardt., et al. "RODOS; Decision support system for off-site Nuclear Emergency management in Europe, Final Report of the RODOS project”. European Commission (2000).
  13. V K O C L R G T Brit Salbu., et al. "Challenges associated with the behaviour of radioactive particles in the environment”. Journal of Environmental Radioactivity 186 (2018): 101-115.
  14. J B H N B H O C T J AF nisbet., et al. "Decision aiding handbooks for managing contaminated food production systems, drinking after and inhabited areas in europe”. (2010).
  15. C W M K K J R E Tipping. "Solid-solution distribution of radionuclides in acid soils; application of the WHAM chemical speciation model”. Environmental Science Technology5 (1995): 1365-1372.
  16. "Handbook of Parameters Values for the Prediction of Radionuclide transfer in temperate region”. IAEA, Vienna (1994).
  17. "Handbook of Parameters Values for the prediction of Radionuclide Transfer in terrestial and freshwater environment”. technical reports Series No 472, Vienna (2010).
  18. N C J A S W A G Gillett., et al. "Temporal and spatial prediction of radiocaesium transfer to food products”. Radiation and Environmental Biophysics 40 (2001): 227-235.
  19. B N R Center. "Biosphere impact studies unit”. Boeretang 200, Belgium (2000).
  20. S F K N Papamichail., et al. "Design and evaluation odf an intelligent decision support system for nuclear emergency”. Decision Support Systems1 (2005): 84-111.
  21. F G H Muller. "Documetation of the terrestial foodchain and dose module FDMT in ROPDOS PV6.0”. Rodos Report (2003).
  22. "Developing of a worldwide version odf system for prediction of environmental emergency dose information; WSPEEDI 111”. Nuclear Science and Technology (1994): 969-978.
  23. L Fernandez-Moguel. "Updated analysis of Fukushima Unit 3 with Melcor 2.1 Part 2; Fission Product Release and Transport Analysis”. Annals of Nuclear Energy 130 (2019): 93-106.
  24. SYn CJP Absalom. "Predicting soil to plant transfer radiocaesium using soil characterisics”. Environmental Science8 (1999): 1218-1223.
  25. F J A N V W Raskob. "Overview and main achievements of the EURANOS project” (2010).
  26. E L J W M V h S Uematsu. "Predicting Radiocaesium sorption characyteristics with soil Chemical properties for the japanese soils”. Journal of Science and Environment 524 (2015): 148-156.
  27. J B P B A G M Van Der Perk. "A GIS based environmental Decison support system to acess the transfer of long-lived radiocaesium through food chains in areas contaminated by the chernobyl accident”. International Journal of Geographical Information Science1 (2001).
  28. H ISHIKAWA. "Development of Worldwide Version of System for Prediction of Environmental emergency Dose Information; WSPEEDI (III)”. Nuclear Science and Technology 31 (1993): 969.
  29. S Gerdan. "GIS-based Decision Support system Applications in Disaster Management". 25.3 (2018).
  30. M M Bradley. "NARAC: Emergency response resource for predicting the atmospheric dispersion and assessing the consequences of airborne radionuclises”. Journal of Environmental Radioactivity 96 (2007): 116-121.
  31. N A H L J S S H S French. "Presenting Uncertain Information in Radiological Emergencies”. UK Atmospheric Dispersion Modelling Laison Committee (2016).
  32. G Sugiyama. "Atmospheric Dispersion Modelling: Challenges of the Fukushima Daiichi response".
  33. R A M G M Norden. "Bioavailabity in the BORIS assessment model”. Radioprotection 40 (2005): 107-111.
  34. F Gering. "Data Assimilation Methods for Improving the Prognoses of Radionuclide Deposition from Radioecological Models with Measurements”. Dissertation (2005).
  35. V B M T J Geldermann. "Multi- Criteria decision support and Evaluation of Strategies for nuclear Remediation management”. Omega1 (2009): 238-251.
  36. P Speed. "The Governance of Nuclear Power In China”. Journal of world Energy Law and Business, Oxford (2020).
  37. J Mu. "China's Approach to nuclear safety- From the perspective of policy and Institutional system”. Journal of Energy Policy, China (2014).
  38. N B Howard., et al. "The Strategy Project; Decision tools to aid sustainable restoration and long term management of contaminated agricultural ecosystems”. Journal of Environmental Radioactivity3 (2005): 275-295.
  39. W C Landman., et al. "A Proposed Countermeasure Simulation Model for the new ICRP Recommendations”. EDP Sciences (2013).
  40. A Ehrhardt. "RODOS; Decision Support System for off-site Nuclear Emergency management in Europe, Final Report of the RODOS Project”. European Commission (2000).
  41. F V B W Raskob. "Approaches o Visualisation of uncertainties to decision makers in an operational decision support system”. Gothenburg, Proceedings of the 6th International Conference on Information systems for Crisis Response and management (2009).
  42. GH Muller., et al. "ECOSYS-87; a dynamic model for assessing radiological consequences of nuclear accident”. Journal of Health Physics3 (1993): 232-252.


Citation: Priscilla Oforiwaa., et al. “A Review of Nuclear Emergency System Adapted for Food Chain Model". Acta Scientific Applied Physics 2.6 (2022): 29-39.


Copyright: © 2022 Priscilla Oforiwaa., et al.. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


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