Journal of Geography  & Natural Disasters
Open Access

Abstract

Analysis of Bangladesh Earthquake Data Using Data Mining Techniques

Imrul Kais, Tanvir Islam Mim, Syed Sabit Hossain, Sazzadur Ahamed, Ejaj Tarif, Sarowar Hossain

Every year many people perish and abate their living due to earthquakes. In this research, former earthquake data between 1933 and 2018 were collected for Bangladesh, which is at 24°00' N and 90°00' E according to latitude and longitude, respectively. These data have been used as a parameter to determine the relationships among several merits of the data set. Therefore, a linear regression algorithm has been exercised for time series forecasting and the process gives an almost 75%-80% success rate in predicting the earthquake zone along with its magnitude. In addition, a statistical map of earthquake magnitudes has been established from the trained data using Weka Explorer and the evaluation model depends on the clustered instances. The whole analysis has been implemented to develop a website so that people can be aware of earthquakes before the incident. Finally, Snamganj (25°04'16'' N and 91°24'13'' E) has been predicted as the riskiest region in Bangladesh for earthquakes on the Sylhet fault zone.

Published Date: 2025-01-22;