Studying the seismic activity of the earthquake in India using fractal analysis

TL;DR

This study applies fractal analysis to seismic data from India between 2016 and 2023 to identify patterns and estimate probabilities of future earthquakes based on their magnitudes and epicenters.

Contribution

It introduces a fractal statistical approach to analyze seismic activity data and predict earthquake probabilities, offering a novel perspective in earthquake risk assessment.

Findings

Fractal spectrum reveals patterns in earthquake magnitudes and epicenters.

Fractal model estimates probabilities of future earthquakes with different magnitudes.

Abstract

Natural disaster strikes at any given moment from seemingly out of nowhere Akin to earthquake that strongly affects human with different magnitudes through the course of time. The main aim of this study is the fractal analysis of seismic activity data of India in the interval from 04-10-2016 to 31-05-2023. This includes analyzing the earthquake magnitudes and their epicenters using fractal statistics, which were studied at different scales to identify patterns in the data through the use of the fractal spectrum. The probabilities of future earthquakes with different magnitudes were estimated using the fractal model.