On the Identification of Typical Precursor Anomalies in the Foreshock Areas of Strong Earthquakes, Kuril-Kamchatka Region

The article discusses the prospects of a new earthquake forecast algorithm based on a set of precursor anomalies previously identified in details as a result of constructing and analyzing a generalized vicinity of a strong earthquake. The difference in physical mechanisms of different depth earthquakes is taken into account. The question is considered, how often typical averaged anomalies can be statistically reliably identified in the foreshock areas of individual strong earthquakes; the regional catalog of Kamchatka and Northern Kuril Islands of the Kamchatka Branch of the Geophysical Surveys of the Russian Academy of Sciences is used. In this catalog, at least one typical anomaly is detected in one third of cases of the target earthquakes with magnitude M ≥ 6.5. The probability of such successful retrospective forecast depends to a decisive extent on the number of events registered in the foreshock zone of a given strong earthquake. This result is supported by the results of the analysis of the world ISC-GEM and GCMT catalogs and the 2023 Turkish Earthquake Doublet. The possibilities for the development of the used forecast method are discussed; attention is drawn to the problem of false alarms.