The paper describes the algorithm and the results of the seismic hazard estimate in the Sakhalin and Southern Kurils region based on the data of the Japan Regional Catalogue (JMA). A nonlinear differential equation of the second order is used as a mathematical model, and algorithms for optimization and predictability estimation are presented by the author's solutions. The forecasting algorithm is based on the search for seismic activity zones in which the current activity trends correspond to foreshock sequences recorded before strong earthquakes (precedents) that have already occurred. The earthquake time is calculated with extrapolating the detected trends to the level of activity that occurred at the time of the precede...
The objective of this paper is to quantify the use of past seismicity to forecast the locations of f...
Following the 2009 L'Aquila earthquake, the Dipartimento della Protezione Civile Italiana (DPC), app...
In this paper the authors present the method of estimation of a region, waiting period and probabili...
The paper describes the algorithm and the results of the seismic hazard estimate based on the data o...
In this paper, an attempt is made to combine seismological and ionospheric predictive signs formed o...
On the basis of the writer's data of the migration of great 18-20th century earthquakes and their re...
The catastrophic Simushir earthquake occurred on 15 November 2006 in the Kuril-Okhotsk region in the...
The Benioff zone off Kamchatka and the northern Kuril Islands is divided into several blocks using t...
The paper describes an approach that allows, basing on the data of multiparameter monitoring of atmo...
Based on the catalogue of earthquakes of the Kuril-Kamchatka region for the period from 1737 to 2007...
This paper discusses results from ongoing research on long-term earthquake prediction for the Kuril–...
The purpose of this work is to show the application of a new Earthquake Forecasting Model, called Do...
Seismic activation in the period of foreshocks (prior to the mainshock) described by the model of se...
Investigations on earthquake prediction in Kamchatka are mainly carried out along three lines: 1...
The paper describes seismicity of Kamchatka for the period of 2008 and presents 2D distribution of b...
The objective of this paper is to quantify the use of past seismicity to forecast the locations of f...
Following the 2009 L'Aquila earthquake, the Dipartimento della Protezione Civile Italiana (DPC), app...
In this paper the authors present the method of estimation of a region, waiting period and probabili...
The paper describes the algorithm and the results of the seismic hazard estimate based on the data o...
In this paper, an attempt is made to combine seismological and ionospheric predictive signs formed o...
On the basis of the writer's data of the migration of great 18-20th century earthquakes and their re...
The catastrophic Simushir earthquake occurred on 15 November 2006 in the Kuril-Okhotsk region in the...
The Benioff zone off Kamchatka and the northern Kuril Islands is divided into several blocks using t...
The paper describes an approach that allows, basing on the data of multiparameter monitoring of atmo...
Based on the catalogue of earthquakes of the Kuril-Kamchatka region for the period from 1737 to 2007...
This paper discusses results from ongoing research on long-term earthquake prediction for the Kuril–...
The purpose of this work is to show the application of a new Earthquake Forecasting Model, called Do...
Seismic activation in the period of foreshocks (prior to the mainshock) described by the model of se...
Investigations on earthquake prediction in Kamchatka are mainly carried out along three lines: 1...
The paper describes seismicity of Kamchatka for the period of 2008 and presents 2D distribution of b...
The objective of this paper is to quantify the use of past seismicity to forecast the locations of f...
Following the 2009 L'Aquila earthquake, the Dipartimento della Protezione Civile Italiana (DPC), app...
In this paper the authors present the method of estimation of a region, waiting period and probabili...