Introduction

New Publication: Spatial Modeling of Geogenic Indoor Radon Distribution in Chungcheongnam-do, South Korea Using Enhanced Machine Learning AlgorithmsJanuary 2023

New Publication: Spatial Modeling of Geogenic Indoor Radon Distribution in Chungcheongnam-do, South Korea Using Enhanced Machine Learning AlgorithmsJanuary 2023

 

environment international journal cover

Congratulations to Sayed Bateni (WRRC and CEE) and colleagues for their recent publication, “Spatial Modeling of Geogenic Indoor Radon Distribution in Chungcheongnam-Do, South Korea Using Enhanced Machine Learning Algorithms.”

A study in Chungcheongnam-do, South Korea was conducted to determine the affects of long-term inhalation of indoor radon and its progenies, which can lead to severe health problems for those living in housing developments in radon-prone areas. An indoor radon potential map of the area was generated to identify the extent the residential buildings are expected to experience a significant increase in radon levels. The radon level measurements are based on the high concentrations of natural radioisotopes in rocks, and derived from the soils beneath the building foundations. The radon potential map developed for this study, represents the first stage and the generated map will assist local authorities to develop urban plans in regions with less radon concentrations.

Sayed Bateni is an Associate Professor with the University of Hawai‘i WRRC and Civil and Environmental Engineering.

View article at: Environmental International, January 2023, https://doi.org/10.1016/j.envint.2022.107724