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Automated Detection of Dynamic Earthquake Triggering by the High‐Frequency Power Integral Ratio
Author(s) -
Yun Naidan,
Zhou Shiyong,
Yang Hongfeng,
Yue Han,
Zhao Li
Publication year - 2019
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2019gl083913
Subject(s) - induced seismicity , seismology , geology , statistic , geothermal gradient , range (aeronautics) , statistics , geophysics , mathematics , engineering , aerospace engineering
Dynamic earthquake triggering can be used to investigate the responses of faults to stress disturbances. We develop a new method to detect dynamic triggering by estimating high‐frequency energy change before and during teleseismic waves using the HIgh‐Frequency power Integral ratio (HiFi). Our method is able to identify local events independent of earthquake catalog or subjective judgements. The significance in energy change is evaluated by a statistical analysis of the background ratio in a large number of days, which can suppress the influence of noise and variations in the background seismicity and yield a confidence level of dynamic triggering (0–1). We apply the HiFi method to the Geysers Geothermal Field in California, and the results are largely consistent with previous reports from the β statistic. By comparing the results of HiFi and β statistic, we select a confidence level range of 0.918–0.947 as the optimum threshold to identify dynamic triggering in the region.