EARTHQUAKE BEHAVIOR AND PREDICTION

Muhammad Akram*, David Pérez-Jorge, Momina Iftikhar, Sarvananda, Francisco Garcia-Sierra, Riyadh S Al-
Malki, Fethi Ahmet Ozdemir, Gawe? So?owski, Najmiatul Fitria, Marcos Altable, Adonis Sfera, Simone Brogi,
Ho Soonmin, Zaryab Fatima, El Hadji Seydou Mbaye, Isah Suleiman Yahaya, Md. Torequl Islam, Yahaya Usman

ABSTRACT

Understanding seismic activity patterns is necessary for earthquake behavior andprediction in order to anticipate future earthquakes. Tectonic plate movement andstress buildup along fault lines define seismic behavior. An examination of geologicalfeatures, historical earthquake data, and seismic activity monitoring are importantforecast techniques. While making exact forecasts is still difficult, advances in earlywarning systems, machine learning, and real-time data analysis help us better assessthe danger of earthquakes and lessen their effects. In order to better understand andanticipate seismic events, ongoing research combines theoretical frameworks withobservational data to improve preparedness and refine prediction models. It isessential to comprehend earthquake behavior and forecast in order to reduceseismic hazards and enhance safety. As a result of tectonic plate movements, stressthat has accumulated along geological faults is released during earthquakes.Analyzing past earthquake data, geological traits, and patterns of seismic activity areall part of predictive efforts. The methods used now include tracking seismic waves,putting early warning systems in place, and using machine learning algorithms tofind probable antecedents. Because seismic processes are complicated, reliableearthquake prediction remains elusive despite major progress. The objectives ofongoing research are to increase prediction accuracy, incorporate real-time data,and create practical mitigation plans that safeguard communities.

Keywords:

Geological Structures, Earthquake Precursors, Historical Earthquake
Data, Seismic Waves, Seismic Monitoring.

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