Empirical analysis of Chernobyl nuclear reactor core for 5 seconds before the explosion





Chernobyl accident, critical operating mode, regression analysis, water and empty environment


This study uses the methodology of empirical analysis for analyzing the transient mode of the nuclear reactor core, a few second before the explosion at the time of the Chernobyl accident. The parameters were selected from the published articles [1]. A scenario was assumed for this analysis, such as the reduction of the flow rate of the Main Circulation Pump, and regression models were constructed to examine this scenario. The results of the models application were examined, and conclusions were made regarding the reduction of the flow rate of the Main Circulation Pump and the reactivity during the last few seconds to the explosion.

Author Biographies

Yoshio Matsuki, The World Data Center for Geoinformatics and Sustainable Development, NTUU "KPI", Kyiv, Ukraine

Yoshio Matsuki,

Doctor of Engineering Sci, Head of Laboratory for Econometrics and Forecasting, at the World Data Center for Geoinformatics and Sustainable Development, NTUU "KPI". Graduated from St. Paul’s University (atom physics) in Tokyo, Japan in 1976, and graduated from the Harvard University in the USA in 1992 (methods of public administration with Econometrics). He got his Doctor of Science (energy science) in 2009 at Kyoto University in Japan. Current areas of interest: Nuclear Reactor Physics, General Theory of Relativity and Tensor Equations, Applications of Econometrics in Natural Science and in Social Science.

Petro I. Bidyuk, The Institute for Applied System Analysis NTUU "KPI", Kyiv, Ukraine

Petro Bidyuk,

Doctor of Engineering Sci, professor at the Institute for Applied System Analysis NTUU "KPI". Graduated from the Kyiv Polytechnic Institute in 1972. He got his PhD (Candidate of Sciences) degree in Control Engineering in 1986, and Doctor of Engineering Sci.  in 1996.

Current areas of interest: Time Series Analysis, Forecasting and Control, Bayesian  Data Analysis, and Decision Support Systems (design and implementation).


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Decision making and control in economic, technical, ecological and social systems