Earthquake Risk Assessment Using Artificial Intelligence – A Review on Traditional Methods and Artificial Intelligence–Based Methods

Earthquake risk assessment entails comprehending the potential consequences of earthquakes on individuals, structures, and infrastructure within a specific locality. It entails examining the likelihood and frequency of seismic events, along with estimating the potential damage they could inflict. This evaluation takes into account various factors including the intensity of ground shaking, structural vulnerabilities, and population density in the affected area. Through the analysis of these elements, specialists can gauge the probability of diverse damage levels and prioritize mitigation measures, such as fortifying buildings or enhancing emergency response strategies. Ultimately, earthquake risk assessment aids communities in readiness and mitigation efforts, enhancing their resilience against seismic events. With the integration of artificial intelligence (AI), earthquake risk assessment and prediction play a crucial role in lessening the impact of seismic events on communities. AI algorithms meticulously analyze vast amounts of seismic data, historical earthquake records, and geophysical parameters to identify patterns and signals suggestive of potential earthquake risks. These AI systems assist in identifying regions at higher risk, predicting the likelihood and severity of future earthquakes, and delivering timely warnings to susceptible populations. Through the incorporation of AI into earthquake risk assessment and prediction, we can enhance our preparedness and response strategies, ultimately reducing casualties and mitigating the adverse consequences of seismic disasters.