大气氡浓度的正常季节变化：正弦模型

Normal seasonal variations for atmospheric radon concentration: a sinusoidal model.

作者信息

Hayashi Koseki, Yasuoka Yumi, Nagahama Hiroyuki, Muto Jun, Ishikawa Tetsuo, Omori Yasutaka, Suzuki Toshiyuki, Homma Yoshimi, Mukai Takahiro

机构信息

Kobe Pharmaceutical University, 4-19-1, Motoyamakitamachi, Higashinada-ku, Kobe 658-8558, Japan.

出版信息

J Environ Radioact. 2015 Jan;139:149-153. doi: 10.1016/j.jenvrad.2014.10.007. Epub 2014 Nov 8.

DOI:10.1016/j.jenvrad.2014.10.007

PMID:25464051

Abstract

Anomalous radon readings in air have been reported before an earthquake activity. However, careful measurements of atmospheric radon concentrations during a normal period are required to identify anomalous variations in a precursor period. In this study, we obtained radon concentration data for 5 years (2003-2007) that can be considered a normal period and compared it with data from the precursory period of 2008 until March 2011, when the 2011 Tohoku-Oki Earthquake occurred. Then, we established a model for seasonal variation by fitting a sinusoidal model to the radon concentration data during the normal period, considering that the seasonal variation was affected by atmospheric turbulence. By determining the amplitude in the sinusoidal model, the normal variation of the radon concentration can be estimated. Thus, the results of this method can be applied to identify anomalous radon variations before an earthquake.

摘要

在地震活动之前曾有过空气中氡读数异常的报告。然而，需要在正常时期对大气氡浓度进行仔细测量，以识别前兆期的异常变化。在本研究中，我们获取了可被视为正常时期的5年（2003 - 2007年）的氡浓度数据，并将其与2008年直至2011年3月（2011年东北 - 奥尻地震发生之时）的前兆期数据进行了比较。然后，考虑到季节性变化受大气湍流影响，我们通过将正弦模型拟合到正常时期的氡浓度数据来建立季节性变化模型。通过确定正弦模型中的振幅，可以估算出氡浓度的正常变化。因此，该方法的结果可用于识别地震前氡的异常变化。