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

Abstract

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

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Citation

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

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.