Nadrah Nadrah, Ruben Cornelius Siagian
Researchers studied radiation exposure around the Chernobyl Nuclear Power Plant (ChNPP) after the accident, focusing on factors like distance from radiation sources and ra-dionuclide 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 vari-ance 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. © 2025, Thammasat University. All rights reserved.
Primary School Teacher Education Study Program, Universitas Muhammadiyah, Makasar, 90221, Indonesia; Department of Physics, Faculty of Mathematics and Natural Science, Universitas Negeri Medan, Medan, 20221, Indonesia
