Annual variation in the atmospheric radon concentration in Japan. (August 2015)

• Record Type: Journal Article
• Authors: Kobayashi, Yuka; Yasuoka, Yumi; Omori, Yasutaka; Nagahama, Hiroyuki; Sanada, Tetsuya; Muto, Jun; Suzuki, Toshiyuki; Homma, Yoshimi; Ihara, Hayato; Kubota, Kazuhito; Mukai, Takahiro
• Is Part Of: Journal of environmental radioactivity. Volume 146(2015:Aug.)
• Page Start: 110
• Page End: 118
• Publication Date: 2015-08
• Subjects: Atmospheric radon -- Seasonal variation -- Sinusoidal model -- Japan -- Atmospheric turbulence -- Asian monsoons; Radioactivity -- Periodicals; Radiation, Background -- Periodicals; Radioecology -- Periodicals; Radioactive pollution -- Periodicals; Environmental Pollutants -- Periodicals; Radioactive Pollutants -- Periodicals; Radioactivity -- Periodicals; Radioécologie -- Périodiques; Pollution radioactive -- Périodiques; Fond de rayonnement -- Périodiques; 539.752
• DOI: 10.1016/j.jenvrad.2015.04.007
• Languages: English
• ISSNs: 0265-931X

Abstract

Abstract: Anomalous atmospheric variations in radon related to earthquakes have been observed in hourly exhaust-monitoring data from radioisotope institutes in Japan. The extraction of seismic anomalous radon variations would be greatly aided by understanding the normal pattern of variation in radon concentrations. Using atmospheric daily minimum radon concentration data from five sampling sites, we show that a sinusoidal regression curve can be fitted to the data. In addition, we identify areas where the atmospheric radon variation is significantly affected by the variation in atmospheric turbulence and the onshore-offshore pattern of Asian monsoons. Furthermore, by comparing the sinusoidal regression curve for the normal annual (seasonal) variations at the five sites to the sinusoidal regression curve for a previously published dataset of radon values at the five Japanese prefectures, we can estimate the normal annual variation pattern. By fitting sinusoidal regression curves to the previously published dataset containing sites in all Japanese prefectures, we find that 72% of the Japanese prefectures satisfy the requirements of the sinusoidal regression curve pattern. Using the normal annual variation pattern of atmospheric daily minimum radon concentration data, these prefectures are suitable areas for obtaining anomalous radon variations related to earthquakes. Graphical abstract: Highlights: Annual (seasonal) variation of atmospheric radon in Japan is determined. The normal annual variation patterns are obtained by fitting a sinusoidal model. Radon concentration is affected by atmospheric turbulence and Asian monsoons. The normal radon pattern is estimated to relate radon and earthquake activity.