this is a concise state-of-the-art-article on earthquake prediction • the story of the hai - cheng ( china ) earthquake of 4 february 1975 ,the first successfully major earthquake is reported . existing methods of predicting earthquakes are investigated. earthquake prediction activties in china, russia, japan and u.s.a. are discussed.

This paper introduces the application of seismic wave method in earthquake prediction and early estimation. The advantages of the seismic wave method over the traditional earthquake prediction method are demonstrated. An example is presented in this study to show the accuracy and efficiency of using the seismic wave method in predicting a medium-sized earthquake swarm occurred in Wencheng, Zhej...

This paper presents a review of the work done in earthquake prediction using abnormal animal behavior. The earthquake prediction can be done using the abnormal behavior of animals preceding earthquake occurrence in seismically active region because of their relatively more capability than humans of perceiving certain kind of geophysical stimuli which may precede earthquake. The international wo...

The object of this paper is to provide a method of cost-benefit analysis of earthquake prediction as a means of mitigation of earthquake effects. The research in earthquake prediction may or may not be successful and involves an initial cost. Earthquake prediction, if achieved, on the one hand provides society with information which allows it to take protective measures. On the other hand, each...

The 1985 prediction of a characteristic magnitude 6 Parkfield earthquake was unsuccessful, since no significant event occurred in the 95% time window (1985–1993) anywhere near Parkfield. The magnitude 6 earthquake near Parkfield in 2004 failed to satisfy the prediction not just because it was late; it also differed in character from the 1985 prediction and was expectable according to a simple n...

An event called prediction in a time series is more important for geophysics and economy problems. The time series data mining is a combination field of time series and data mining techniques. The historical data are collected which has follow the time series methodology, combine the data mining for preprocessing and finally apply the fuzzy logic rules to predict the impact of earthquake. Earth...

— An Earthquake is more important for geophysics and economy problems. The Support Vector Machine of data mining techniques with cluster analysis is used to predict impact of earthquake [2]. The historical data are collected which has follow the time series methodology, combine the data mining for pre-processing and finally apply the SVM to predict the impact of earthquake. Earthquake predictio...

In accordance with the Seismo-Geothermics theory about methods of intracrustal strong earthquake and volcano prediction, we use the ANSS earthquake catalogue from the Northern California earthquake data center and the EMSC earthquake catalogue from the European-Mediterranean Seismological Centre to study the seismic activities of the Turkish Branch Seismic Cone in the Mediterranean Seismic Cone...

rise in temperature occurred after soil temperature was measured in different time series. in this article, ldf (logarithmic derivative filter) innovative method is applied to detect anomalies. this method tests soil temperature time series for 12 earthquakes in iran with magnitudes of either five or greater than five. results from this method were collected. based on the results of ldf method ...