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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| Datum: | 2020 |
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| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
State Scientific and Technical Center for Nuclear and Radiation Safety
2020
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| Online Zugang: | https://nuclear-journal.com/index.php/journal/article/view/383 |
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| Назва журналу: | Nuclear and Radiation Safety |