Application of Machine Learning Algorithms for Geogenic Radon Potential Mapping in Danyang-Gun, South Korea

Application of Machine Learning Algorithms for Geogenic Radon Potential Mapping in Danyang-Gun, South Korea

Continuous generation of radon gas by soil and rocks rich in components of the uranium chain, along with prolonged inhalation of radon progeny in enclosed spaces, can lead to severe respiratory diseases. Detection of radon-prone areas and acquisition of detailed knowledge regarding relationships bet...

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Bibliographic Details
Main Authors: Fatemeh Rezaie, Sung Won Kim, Mohsen Alizadeh, Mahdi Panahi, Hyesu Kim, Seonhong Kim, Jongchun Lee, Jungsub Lee, Juhee Yoo, Saro Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Environmental Science
Subjects:
indoor radon mapping
machine learning method
geogenic
Danyang-gun
South Korea
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2021.753028/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2021.753028/full

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