Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/123456789/33015
Title: Features of Constructing a Mathematical Model and Its Software Implementation for Predicting Radon Flux Densities in the Anomalous Zone of Mount Beshtau (KMV)
Authors: Baryshnikov, A. A.
Барышников, А. А.
Keywords: Computer software;Radon flux;Forecasting;Linear regression;Air temperature;Density-based;Flux densities;Meteorologica
Issue Date: 2026
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Baryshnikov A. A. Features of Constructing a Mathematical Model and Its Software Implementation for Predicting Radon Flux Densities in the Anomalous Zone of Mount Beshtau (KMV) // Proceedings of the 2026 ElCon Conference of Young Researchers in Electrical Engineering, Automation and Control Systems, ElCon-EE 2026. - 2026. - pp. 9 - 12. - DOI: 10.1109/ElCon-EE69794.2026.11453284
Series/Report no.: Proceedings of the 2026 ElCon Conference of Young Researchers in Electrical Engineering, Automation and Control Systems, ElCon-EE 2026
Abstract: The research objective is to verify a mathematical model based on multiple linear regression for predicting radon flux density based on certain parameters. These parameters include meteorological parameters that potentially influence the release of radon from rocks into the atmosphere. The study aims to analyze the influence of air temperature and humidity on radon flux density in a radon anomaly identified on the western slope of Mount Beshtau. The mathematical model yielded data for predicting radon flux densities in the anomalous zone. Software was developed for this forecasting, and a patent for it is currently pending approval.
URI: https://dspace.ncfu.ru/handle/123456789/33015
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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