Геопросторове моделювання радононебезпечної території

Methods for identification of potentially radon-prone areas using geospatial analysis in ArcGIS 10.6 software environment and mathematical modeling in SPSS 19.0 on the example of high background radiation area have been developed. High level of natural radioactivity associated with uranium content i...

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Bibliographic Details
Date:2020
Main Authors: Dudar, T., Titarenko, O., Nekos, A., Vysotska, O., Porvan, A.
Format: Article
Language:English
Published: State Scientific and Technical Center for Nuclear and Radiation Safety 2020
Online Access:https://nuclear-journal.com/index.php/journal/article/view/383
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Journal Title:Nuclear and Radiation Safety

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Nuclear and Radiation Safety