Application of New Statistical Methods to Estimation of the Seismicity Field Parameters by an Example of the Japan Region

• Published in: Izvestiya. Physics of the solid earth 2023-12, Vol.59 (6), p.967-978
• Main Authors: Pisarenko, V. F., Skorkina, A. A., Rukavishnikova, T. A.
• Format: Article
• Language: English
• Subjects: Coefficient of variation; Distribution; Earth and Environmental Science; Earth Sciences; Earthquakes; Estimates; Geophysics/Geodesy; Parameters; Seismic activity; Seismicity; Slopes; Spatial analysis; Spatial resolution; Spatial variability; Spatial variations; Statistical methods
• ISSN: 1069-3513; 1555-6506
• DOI: 10.1134/S1069351323060162

This study is devoted to application of some new statistical methods to analysis of the spatial structure of the seismic field in a seismically active region in the neighborhood of Japan bounded by the following coordinates: 28°–50° north latitude, 130°–150° east longitude. The estimates of the seismic flux were obtained by using the k- nearest neighbors method for the magnitude interval m ≥ 5.2. The highest values of seismic flux intensity of about 10 –4 are located at depths of down to 100 km and manifest themselves in the neighborhood of the Tohoku megathrust earthquake. The spatial resolution of the intensity estimates is ranging from 33–50 km in the regions with a high intensity to 100 km and larger in the zones with a weak intensity. It has been shown that the seismic filed parameters—intensity λ, slope of the magnitude–frequency graph β, maximum possible magnitude m 1 —have different scales of their spatial variability and, thus, it is necessary to apply different scales of spatial averaging to them. Based on the Gutenberg—Richter truncated distribution model, the estimates are obtained for the slope of the magnitude–frequency graph ( b ‑value) and the upper boundary of the distribution m 1 . An original method is proposed for determining the optimal averaging radius for an arbitrary cell of the space grid. The method is based on the use of the statistical coefficient of variation of the corresponding parameter. For the considered region, the estimate of the maximum possible magnitude М max = 9.60 0.41 was obtained with consideration of the correction for bias.