Abstract
Earthquakes happen quickly and instantly, making it difficult to predict when the next one will happen. Since the first century in China, people have been attempting to anticipate earthquakes due to their deadly impact. To make this, approaches and methods have been developed. Because of their rapid propagation, earthquakes can only be predicted by putting a preparatory phase in place. As a result, many categories of forecasts have developed over time to improve the planning stage. Data mapping, radon gas emissions, early earthquakes (foreshocks), dilatancy theory, animal behavior, earthquake lights, electric signals, Syzygy, ambient light, magnetometers, hydrochemical precursors, temperature change, water level, oil wells, and seismic gap theory are some of the techniques covered in this article. Using a single approach alone could have a low accuracy rate, using multiple ways together might increase accuracy.
The Various Methods of Earthquake Prediction
Introduction
Because earthquakes happen so frequently, they severely affect people, property, and infrastructure. Because earthquakes happen suddenly and without warning, planning and taking action to lessen the effects might be challenging. Forecasting their occurrence would significantly reduce the cost and loss of life associated with the disasters. While there are many conventional predictions, experts have demonstrated that we are still far from reliable forecasts. Not only should an earthquake’s existence be predicted, but also its epicenter and level of intensity. Numerous techniques have been employed as data sources to forecast earthquakes. Data mapping, radon gas emissions, early tremors (foreshocks), dilatancy theory, animal behavior, earthquake lights, electric signals, Syzygy, ambient light, magnetometers, hydro chemical precursors, temperature change, water level, oil wells, and seismic gap theory are some of the techniques covered in this article.