Seismic Hazard Prediction on Basis of Risk Targeted MCE Using Clustering

Abstract

A natural disaster is that the results of a natural hazard(e.g. flood, tornado, volcanic eruption, earthquake, heat wave, or landslide).Earthquake, landslide, tsunamis and volcanoes area unit sophisticated phenomenon that finishes up in cash ,environment or human losses. This paper highlight the knowledge mining techniques applied to mine for surface changes over time (e,g. Earthquake rupture). the knowledge mining techniques facilitate researchers to predict the changes at intervals the intensity of volcano. This paper uses apocalyptical math models which can be applied to areas like unstable activity. This analysis proposes a technique mistreatment data processing to analyze patterns in seismic information for earthquake prediction. Recent trends in earthquake observation and prediction have targeted on the observation of seismic frequencies that square measure terribly near the natural frequencies of buildings and different structures, like bridges.