International Journal of Engineering and Management Research (IJEMR)
  • Year: 2015
  • Volume: 5
  • Issue: 2

Data Mining Approach for Estimation of Earthquake Hazard in Shillong Region

  • Author:
  • Manisha Singh1, Radhakrishnan Rambola2
  • Total Page Count: 7
  • Page Number: 190 to 196

1Master of Technology Student, Department of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India

2Associate Professor, Department of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India

Online published on 21 November, 2017.

Abstract

North India is one of the earthquake activezone in Indian subcontinent. In this area, a series of medium to large magnitude earthquake can be seen. The expected earthquake of intensity up to IX can beobserved. Therefore, for reducing the loss of life and property, it is important to analyze the earthquakerisk in the considered region, properly. In this paperdata mining approach have been applied. This papercontains the calculation of the largest annual earthquake magnitude, its probability of occurrenceand the return period of largest earthquake for theearthquake prone Shillong region of North East Indiausing Gumbel's type I distribution which is based on the extreme value theory has been estimated. Mostprobable annual maxima have also been calculated forthe considered region. The line of expected extremewhich is based on 46 years (1963–2008) of seismicitydata of yearly extreme values of earthquakes for theregion have been plotted. The medium to large size earthquakes which is expected to occur in this region has been predicted.

Keywords

Gumble's Theory, Line of expected stream MM intensity