Forthcoming and Online First Articles

International Journal of Nuclear Safety and Security

International Journal of Nuclear Safety and Security (IJNSS)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Nuclear Safety and Security (One paper in press)

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  • A study on parameter estimation and sensitivity analysis of vegetative model for radionuclide impact assessment   Order a copy of this article
    by Priscilla Oforiwaa, Amos Kittah, Sandra Asare, Ke Li, Manchun Liang, Guofeng Su 
    Abstract: The study aimed to optimise the Sato Vegetative Model for radionuclide impact assessment, specifically for analysing the concentration of I-131, Cs-134, and Cs-137 in vegetables in Fukushima. The semi-mechanistic modelling method is proposed for estimating concentrations of I-131, Cs-134, and Cs-137 in vegetables. The model examines the relationship between soil radionuclide concentration, foliage-to-root uptake, and soil organic matter content. The optimised parameters were obtained through parameter estimation and sensitivity analysis using monitoring data and the MODARIA parameters from Fukushima. The study found that the Sato model with the proposed parameters performed more in emergency radioecological modelling than existing IAEA parameters. Overall, the study highlights the importance of parameter optimisation and sensitivity analysis in improving the accuracy of radionuclide impact assessments.
    Keywords: model; semi-mechanistic; radionuclides; parameter; estimation.
    DOI: 10.1504/IJNSS.2023.10060150
     

 

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