Analysis of Radioactive Isotope Concentrations at Various Locations after a Nuclear Disaster: Case Study of I-131, Cs-134, and Cs-137 in the Czech Republic
DOI:
https://doi.org/10.30595/jrst.v9i1.23515Keywords:
Radioactive Isotope Concentration, Chernobyl Disaster, Environmental Monitoring, Isotope Correlation, Nuclear Contamination ManagementAbstract
Radioactive dispersal remains a major concern after a nuclear disaster. This study investigated the consistency of radioactive isotope concentrations (I-131, Cs-134, and Cs-137) in two cities in the Czech Republic - Prague and Usti - to determine whether sampling duration and isotope concentration variability affect contamination stability. The study used statistical analyses, including ANOVA, Kruskal-Wallis test, and Pearson and Spearman correlation tests, to examine isotope relationships and spatial variation. Data were collected over multiple time points to assess changes in contamination patterns. Findings showed that Prague exhibited higher concentrations of radioactive isotopes, but variations in sampling time did not affect contamination stability. No significant differences were observed between the two locations, and a strong correlation was found among I-131, Cs-134, and Cs-137, indicating that an increase in one isotope was consistently accompanied by an increase in the other. The sampling duration had no significant impact on the contamination levels. These results suggest that isotope contamination is stable across sites, regardless of sampling duration. A major research gap is the limited research on the relationship between consistency of isotope concentrations and sampling time across multiple sites. The study highlighted that radioactive isotope concentrations remained relatively consistent despite the large variability in measured values. Findings underscore the need for contamination management strategies that focus on globally significant sources rather than local variability. Strong correlations among isotopes offer potential predictive value for monitoring radioactive contamination in disaster situations.
References
Agbangba, C. E., Aide, E. S., Honfo, H., & Kakai, R. G. (2024). On the use of post-hoc tests in environmental and biological sciences: A critical review. Heliyon, 10(3).
Alrammah, I., Saeed, I. M. M., Mhareb, M., & Alotiby, M. (2022). Atmospheric dispersion modeling and radiological environmental impact assessment for normal operation of a proposed pressurized water reactor in the eastern coast of Saudi Arabia. Progress in Nuclear Energy, 145, 104121.
Berner, D., & Amrhein, V. (2022). Why and how we should join the shift from significance testing to estimation. Journal of evolutionary biology, 35(6), 777–787.
Bilgiç, E. (2022). Mathematical Modeling of Atmospheric Dispersion And Risk Assessment of Radionuclides Released From Real or Hypothetical Nuclear Power Plant Accidents Under Normal or Extreme Meteorological Conditions.
Bu, W., Ni, Y., Steinhauser, G., Zheng, W., Zheng, J., & Furuta, N. (2018). The role of mass spectrometry in radioactive contamination assessment after the Fukushima nuclear accident. Journal of Analytical Atomic Spectrometry, 33(4), 519–546.
Caldera, H. J., & Wirasinghe, S. (2022). A universal severity classification for natural disasters. Natural hazards, 111(2), 1533–1573.
Dai, M., Fu, P., & Jiang, Z. (2023). Research on Fission Products Selection in the Primary Coolant of PWR During Normal Operation. 646–655.
De Jonge, E., & Van Der Loo, M. (2013). An introduction to data cleaning with R. Statistics Netherlands The Hague.
Denham, D. H. (2019). Sampling Instruments and Methods. Dalam Handbook of Environmental Radiation (hlm. 129–153). CRC Press.
Friederich, S., & Boudry, M. (2022). Ethics of nuclear energy in times of climate change: Escaping the collective action problem. Philosophy & Technology, 35(2), 30.
Fujiwara, T., Saito, T., Muroya, Y., Sawahata, H., Yamashita, Y., Nagasaki, S., Okamoto, K., Takahashi, H., Uesaka, M., & Katsumura, Y. (2012). Isotopic ratio and vertical distribution of radionuclides in soil affected by the accident of Fukushima Dai-ichi nuclear power plants. Journal of environmental radioactivity, 113, 37–44.
Giorgi, F. M., Ceraolo, C., & Mercatelli, D. (2022). The R language: An engine for bioinformatics and data science. Life, 12(5), 648.
Hosseini, A., Teien, H. C., Seehusen, T., Myromslien, M., Pettersen, M. N., Brown, J. E., Salbu, B., & Oughton, D. (2022). Field studies on the influence of environmental factors on I-131 interception and weathering loss in grass. Journal of Environmental Radioactivity, 251, 106927.
Insch, A., & Loughran, I. (2022). Chernobyl Disaster, 26 April 1986. Dalam The Palgrave Encyclopedia of Interest Groups, Lobbying and Public Affairs (hlm. 122–129). Springer.
Izrael, Y. A. (2007). Chernobyl radionuclide distribution and migration. Health Physics, 93(5), 410–417.
Jargin, S. (2025). The Consequences of the 1986 Chernobyl Nuclear Disaster are Still Felt Today. J Cancer Sci, 10(1), 1.
Kalmykov, S. (2022). Solving scientific problems of nuclear power engineering as a source ofgreen’energy. Uspekhi Fizicheskikh Nauk, 192(11), 1275–1279.
Kennedy, A., & Wang, S. (2025). Analysis of variance. Dalam Translational Urology (hlm. 121–124). Elsevier.
Khatun, N. (2021). Applications of normality test in statistical analysis. Open journal of statistics, 11(01), 113.
Kinoshita, N., Sueki, K., Sasa, K., Kitagawa, J., Ikarashi, S., Nishimura, T., Wong, Y.-S., Satou, Y., Handa, K., & Takahashi, T. (2011). Assessment of individual radionuclide distributions from the Fukushima nuclear accident covering central-east Japan. Proceedings of the National Academy of Sciences, 108(49), 19526–19529.
Konoplev, A. (2022). Fukushima and Chernobyl: Similarities and differences of radiocesium behavior in the soil–water environment. Toxics, 10(10), 578.
Lee, S. W. (2022). Methods for testing statistical differences between groups in medical research: Statistical standard and guideline of Life Cycle Committee. Life Cycle, 2.
Lugo-Armenta, J. G., Pino-Fan, L. R., & Hernandez, B. R. R. (2021). Chi-square reference meanings: A historical-epistemological overview. Revemop, 3, e202108–e202108.
Malizia, A., Chierici, A., Biancotto, S., D’Arienzo, M., Ludovici, G. M., D’Errico, F., Manenti, G., & Marturano, F. (2021). The hotspot code as a tool to improve risk analysis during emergencies: Predicting I-131 and Cs-137 dispersion in the Fukushima nuclear accident. International Journal of Safety and Security Engineering, 11(4), 437–486.
Mavall, A. (2003). Modelling the dispersion of radionuclides in the atmosphere. Dalam Radioactivity in the Environment (Vol. 4, hlm. 13–54). Elsevier.
Monkman, M. H. (2024). The Data Preparation Journey: Finding Your Way with R. CRC Press.
Mousseau, T. A. (2021). The biology of Chernobyl. Annual Review of Ecology, Evolution, and Systematics, 52(1), 87–109.
Muellner, N., Arnold, N., Gufler, K., Kromp, W., Renneberg, W., & Liebert, W. (2021). Nuclear energy-The solution to climate change? Energy Policy, 155, 112363.
Nagataki, S., & Takamura, N. (2014). A review of the Fukushima nuclear reactor accident: Radiation effects on the thyroid and strategies for prevention. Current Opinion in Endocrinology, Diabetes and Obesity, 21(5), 384–393.
Naoum, S., & Spyropoulos, V. (2021). The nuclear accident at Chernobyl: Immediate and further consequences. Romanian Journal of Military Medicine, 124(2), 184–190.
Neroda, A. S., Mishukov, V. F., Goryachev, V. A., Simonenkov, D. V., & Goncharova, A. A. (2014). Radioactive isotopes in atmospheric aerosols over Russia and the Sea of Japan following nuclear accident at Fukushima Nr. 1 Daiichi Nuclear Power Station in March 2011. Environmental Science and Pollution Research, 21, 5669–5677.
Nogueira, P. M. (2024). Spatial Analysis in Geology Using R. CRC Press.
Ohba, T., Tanigawa, K., & Liutsko, L. (2021). Evacuation after a nuclear accident: Critical reviews of past nuclear accidents and proposal for future planning. Environment international, 148, 106379.
Ohnishi, T. (2012). The disaster at Japan’s Fukushima-Daiichi nuclear power plant after the March 11, 2011 earthquake and tsunami, and the resulting spread of radioisotope contamination. Radiation research, 177(1), 1–14.
Okoye, K., & Hosseini, S. (2024). Mann–Whitney U Test and Kruskal–Wallis H Test Statistics in R. Dalam R programming: Statistical data analysis in research (hlm. 225–246). Springer.
Ory, C., Leboulleux, S., Salvatore, D., Le Guen, B., De Vathaire, F., Chevillard, S., & Schlumberger, M. (2021). Consequences of atmospheric contamination by radioiodine: The Chernobyl and Fukushima accidents. Endocrine, 71, 298–309.
Pathak, A. (2023). Metabolic and Biological Effects of Deposited Radionuclides. Dalam Tools and Techniques in Radiation Biophysics (hlm. 209–232). Springer.
Persson, C., Rodhe, H., & De Geer, L.-E. (1987). The Chernobyl accident: A meteorological analysis of how radionuclides reached and were deposited in Sweden. Ambio, 20–31.
Piguet, F.-P., Eckert, P., Knüsli, C., Deriaz, B., Wildi, W., Giuliani, G., & PIGUET, F.-P. (2019). Modeling of a major accident in five nuclear power plants from 365 meteorological situations in western Europe and analysis of the potential impacts on populations, soils and affected countries. Genève: Sortir du Nucléaire, Suisse Romande.
Pommé, S. (2022). Radionuclide metrology: Confidence in radioactivity measurements. Journal of Radioanalytical and Nuclear Chemistry, 331(12), 4771–4798.
Rizk, T. H. (2023). Analysis of variance. Dalam Translational Interventional Radiology (hlm. 149–152). Elsevier.
Salbu, B. (2024). Release of radioactive particles to the environment. Radiation Research, 202(2), 260–272.
Shi, D., DiStefano, C., Maydeu-Olivares, A., & Lee, T. (2022). Evaluating SEM model fit with small degrees of freedom. Multivariate behavioral research, 57(2–3), 179–207.
Stohl, A., Seibert, P., Wotawa, G., Arnold, D., Burkhart, J. F., Eckhardt, S., Tapia, C., Vargas, A., & Yasunari, T. J. (2012). Xenon-133 and caesium-137 releases into the atmosphere from the Fukushima Dai-ichi nuclear power plant: Determination of the source term, atmospheric dispersion, and deposition. Atmospheric Chemistry and Physics, 12(5), 2313–2343.
Takahashi, A., Chiba, M., Tanahara, A., Aida, J., Shimizu, Y., Suzuki, T., Murakami, S., Koarai, K., Ono, T., & Oka, T. (2021). Radioactivity and radionuclides in deciduous teeth formed before the Fukushima-Daiichi Nuclear Power Plant accident. Scientific reports, 11(1), 10335.
Thakur, P., Ballard, S., & Nelson, R. (2012). Radioactive fallout in the United States due to the Fukushima nuclear plant accident. Journal of Environmental Monitoring, 14(5), 1317–1324.
Tsuboi, M., Sawano, T., Nonaka, S., Hori, A., Ozaki, A., Nishikawa, Y., Zhao, T., Murakami, M., & Tsubokura, M. (2022). Disaster-related deaths after the Fukushima Daiichi nuclear power plant accident-definition of the term and lessons learned. Environmental Advances, 8, 100248.
Ulimoen, M., & Klein, H. (2023). Localisation of atmospheric release of radioisotopes using inverse methods and footprints of receptors as sources. Journal of Hazardous Materials, 451, 131156.
Коzhevnikova, M. F., & Levenets, V. V. (2023). Modeling the Distribution of Radionuclides in the Air and on the Soil Surface. East European Journal of Physics, 2, 191–200.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Michael Haratua Rajagukguk, Ruben Cornelius Siagian

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access)
JRST (Jurnal Riset Sains dan Teknologi) is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.