Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/123456789/33015
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dc.contributor.authorBaryshnikov, A. A.-
dc.contributor.authorБарышников, А. А.-
dc.date.accessioned2026-06-11T07:15:50Z-
dc.date.available2026-06-11T07:15:50Z-
dc.date.issued2026-
dc.identifier.citationBaryshnikov 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-EE69794.2026.11453284ru
dc.identifier.urihttps://dspace.ncfu.ru/handle/123456789/33015-
dc.description.abstractThe 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.ru
dc.language.isoenru
dc.publisherInstitute of Electrical and Electronics Engineers Inc.ru
dc.relation.ispartofseriesProceedings of the 2026 ElCon Conference of Young Researchers in Electrical Engineering, Automation and Control Systems, ElCon-EE 2026-
dc.subjectComputer softwareru
dc.subjectRadon fluxru
dc.subjectForecastingru
dc.subjectLinear regressionru
dc.subjectAir temperatureru
dc.subjectDensity-basedru
dc.subjectFlux densitiesru
dc.subjectMeteorologicaru
dc.titleFeatures of Constructing a Mathematical Model and Its Software Implementation for Predicting Radon Flux Densities in the Anomalous Zone of Mount Beshtau (KMV)ru
dc.typeСтатьяru
vkr.instИнститут сервиса, туризма и дизайна (филиал) СКФУ в г. Пятигорскеru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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