Dash logoDataONE logo

A scaling law for seismic moment and maximum seismic interval in Japan


Ji, Yingfeng (2017), A scaling law for seismic moment and maximum seismic interval in Japan, v2, DataONE Dash, Dataset, https://doi.org/10.15146/R30M3W


The relationship between seismic periodicity and its magnitude spectrum have been fruitfully studied by statistical seismologists, but the key details of the relationship remain unclear, such as how these factors, as well as their correlational parameters, relate to earthquake focal mechanism, and how far the depth range in which the seismic events are counted for seismological statistics could relate to the study. Thank to fast increasing earthquake catalogs with a high-resolution epicenter locating in past decades, and continuous developing three-dimensional (3-D) numerical calculation techniques, we attempt to employ a 3-D seismic density sphere method which recognizes the vertical depth as the same dimension with horizontal distance, to more quantitatively investigate the relationship in recently detected seismically active regions in Japan. A subset of 49 densely distributed seismogenic zones of the 1.8 million events collected in Japan in past fifteen years show that the logarithm of the seismic interval for regular events is likely proportional to the logarithm of the seismic moment. The recorded M5+ earthquakes preferentially recur at plate convergent margin, where larger seismic moment rates are calculated. We, therefore, present a scaling law between the seismic moment and seismic interval, in which the scale coefficient is determined by the seismic moment rate as a product of the loading rate, fault characteristic length, and fault rigidity which is similar to an M0-SI relationship of the detected the pre- and post-seismic repeating earthquake sequence. The seismic moment rate influences the earthquake recurrence frequency which varies with areas and depths.

Usage Notes

Please see the readme.txt.


JSPS KAKENHI Grant, Award: 16H04040

JSPS KAKENHI Grant, Award: 16H06477