Published August 2015 | Version v1
Journal article

Annual variation in the atmospheric radon concentration in Japan

  • 1. Kobe Pharmaceutical University, 4-19-1, Motoyamakitamachi, Higashinada-ku, Kobe City, Hyogo, 658-8558 (Japan)
  • 2. Fukushima Medical University, 1, Hikarigaoka, Fukushima City, Fukushima, 960-1295 (Japan)
  • 3. Tohoku University, 6-3, Aza Aoba, Aramaki, Aoba-ku, Sendai City, Miyagi, 980-8578 (Japan)
  • 4. Hokkaido University of Science, Maeda 7-15-4-1, Teine-ku, Sapporo City, Hokkaido, 006-8585 (Japan)
  • 5. Wakayama Medical University, 811-1, Kimiidera, Wakayama City, Wakayama, 641-8509 (Japan)
  • 6. The Institute of Medical Science, The University of Tokyo (retired), 4-6-1, Shirokanedai, Minato-ku, Tokyo, 108-8639 (Japan)

Description

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. - 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

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jenvrad.2015.04.007

Additional details

Identifiers

DOI
10.1016/j.jenvrad.2015.04.007;
PII
S0265-931X(15)00125-3;

Publishing Information

Journal Title
Journal of Environmental Radioactivity
Journal Volume
146
Journal Page Range
p. 110-118
ISSN
0265-931X
CODEN
JERAEE

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47048365
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ANNUAL VARIATIONS; ATMOSPHERES; DATASETS; EARTHQUAKES; ECOLOGICAL CONCENTRATION; EXTRACTION; JAPAN; MONITORING; MONSOONS; RADON; REGRESSION ANALYSIS; SAMPLING; SEASONAL VARIATIONS
Descriptors DEC
ASIA; DEVELOPED COUNTRIES; DOCUMENT TYPES; ELEMENTS; FLUIDS; GASES; MATHEMATICS; NONMETALS; RARE GASES; SEISMIC EVENTS; SEPARATION PROCESSES; STATISTICS; STORMS; VARIATIONS

Optional Information

Copyright
Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.