Effect of Distance and Radionuclide Activity on Radiation Dose Exposure around the Chernobyl Nuclear Power Plant (ChNPP): Analysis with Poisson Regression Models and Correlation Tests
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Abstract
Researchers studied radiation exposure around the Chernobyl Nuclear Power Plant (ChNPP) after the accident, focusing on factors like distance from radiation sources and radionuclide activity. The analysis aimed to improve radiation exposure prediction models for mitigation and public health. Pearson correlation examined the relationship between exposure dose and distance, while Poisson regression identified significant factors, such as Zr-95 and Cs-134 activity. The model’s validity was confirmed through overdispersion and variance inflation factor (VIF) tests, and residuals analysis assessed bias. Results showed radiation exposure decreased with distance, with a moderate negative correlation. Radionuclide activity significantly affected radiation levels, and a perfect correlation was found between exposure dose and absorbed dose. Poisson regression highlighted distance and radionuclide activity as key factors. This study fills a gap in understanding the complex relationship between distance, radionuclide activity, and radiation exposure around ChNPP. The novelty lies in applying Poisson regression with specific isotopes, providing a more accurate model to predict radiation exposure around nuclear facilities.
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