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AI’s application to seismological research has implications for regions worldwide that face high tectonic activity.For India-a country prone to earthquakes-this advancement sets a precedent for improved disaster readiness. Cities situated near major fault lines or under volcanic threat could benefit from integrating similar models into their existing systems.
India harbors complex geological zones like the Himalayan region with its history of devastating earthquakes. Data-driven technologies such as machine learning can help monitor unrest efficiently and bolster early-warning systems without relying solely on traditional methods. However, as seen in findings from Campi Flegrei’s study, human oversight remains crucial when interpreting results due to potential false positives.
The success of such technology underscores the importance of investing in scientific collaborations internationally while refining localized applications tailored to specific geographic challenges India faces. enhancing predictive capabilities may save lives during crises like earthquakes or landslides while advancing India’s global contribution to earth sciences.
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