Preseismic anomalies in soil-gas radon associated with 2016 M 6.6 Meinong earthquake, Southern Taiwan

  • Author(s): Ching-Chou Fu, Vivek Walia, Tsanyao Frank Yang, Lou-Chuang Lee, Tsung-Kwei Liu, Cheng-Hong Chen, Arvind Kumar, Shih-Jung Lin, Tzu-Hua Lai, and Kuo-Liang Wen
  • DOI: 10.3319/TAO.2017.03.22.01
  • Keywords: Radon, Continuous monitoring in soils, Seismo-geochemical transients versus earthquake prediction, Meinong earthquake 2016
  • Citation: Fu, C.-C., V. Walia, T. F. Yang, L.-C. Lee, T.-K. Liu, C.-H. Chen, A. Kumar, S.-J. Lin, T.-H. Lai, and K.-L. Wen, 2017: Preseismic anomalies in soil-gas radon associated with 2016 M 6.6 Meinong earthquake, Southern Taiwan. Terr. Atmos. Ocean. Sci., 28, 787-798, doi: 10.3319/TAO.2017.03.22.01
  • Continuous soil radon monitoring in a multi-stations network
  • Southern Taiwan siesmo-geochemical transients associated to strong earthquakes
  • Earthquake precursory studies
Abstract

Taiwan is tectonically situated in a terrain resulting from the oblique collision between the Philippine Sea plate and the continental margin of the Asiatic plate, with a continuous stress causing the density of strong-moderate earthquakes and regional active faults. The continuous time series of soil radon for earthquake studies have been recorded and some significant variations associated with strong earthquakes have been observed. Earthquake prediction is not still operative but these correlations should be added to the literature about seismo-geochemical transients associated to strong earthquakes. Rain-pore pressure related variations, crustal weakness at the studied faults system is consistent with the simultaneous radon anomalies observed. During the observations, a significant increase of soil radon concentrations was observed at Chunglun-T1 (CL-T1), Hsinhua (HH), Pingtung (PT), and Chihshan (CS) stations approximately two weeks before the Meinong earthquake (ML = 6.6, 6 February 2016) in Southern Taiwan. The precursory changes in a multi-stations array may reflect the preparation stage of a large earthquake. Precursory signals are observed simultaneously and it can apply certain algorithms the approximate location and magnitude of the impending earthquake.

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