Published Paper Details:

This extensive research document is an extensive review of current literature concerning the field of Earthquake Monitoring and Alert systems, both of which are part of traditional Earthquake Monitoring using seismological methods, and the newest technological innovations. Based on our work, major trends are precisely analyzed using seismic monitoring technologies, machine learning applications, artificial intelligence integration, early warning systems, Internet of Things (IoT) based monitoring networks, and preventive methodologies that are deployed and implemented all over the globe. Through a rigorous study of the current research by 2020-2025, this paper reveals prominent developments in real- time seismic instruments, deep learning approaches in earthquake detection, transformer-based models in heterogeneous environments, and community-based earthquake early warning systems. Key findings include breakthroughs in the development of real-time monitoring capabilities with detection accuracies of more than 95%, predictive modeling capabilities that employ advanced neural networks with more than 700,000 labeled training examples, and community-based, early warning systems with practical implementation in sixteen countries worldwide. The study highlights ongoing issues with the ability to accurately predict earthquakes long enough ahead, system interoperability with different types of monitoring networks in heterogeneous networks, false alarm handling in real-time warning systems, and fair coverage across the globe, especially in the developing world. The paper further focuses on the global growth of earthquake early warning (EEW) systems using diverse communication technologies, the science and societal impact of aftershocks, emerging technologies for aftershock monitoring and loss reduction, and the important relationship between earthquakes and tsunamis with the integrated multi- hazard warning approaches. Issues and challenges related to these advancements are systematically addressed.