EARTHQUAKE PREDICTION USING MAP REDUCE FRAMEWORK

An earthquake is shaking of the surface of the Earth, which caused as the result of movable plate boundary interactions. The sudden release of energy called seismic waves that destroys so many buildings and kills thousands of people. Earthquakes are measured using remarks from seismometers with Richter magnitude scale. Ground rupture, Landslides, Soil liquefaction and Tsunami are the main effects created by earthquakes. Today's earthquake warning systems used to provide regional notification of an earthquake in progress. Many methods have been already developed for predicting the time and place in which earthquakes will occur, but it did not predicted using big data analytics. This paper addresses the novel methodology to identify next earthquake happening from tons of international geological survey data using Map Reduce model. In addition, Map and Reduce function used to locate highest shaky place, location nearer to fault line, current location shakes per minute. Other than above mentioned features separate Map and Reduce function implemented to analyze sheer number of earthquakes per day. Final result shows which location suffered from maximum number of shakes and priority of earthquake occurrence location.