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Installation and Optimization Advances in Earthquake Early Warning System (Rast-Vs) for Business Continuity and Public Safety in Mexico

Description: 

Earthquake Early Warning (EEW) systems are critical tools for mitigating the impacts of seismic events, offering crucial seconds for protective actions. This work presents the installation and optimization advances of an innovative EEW system in Mexico, developed together by SeismicAI and VASE Sísmica, tailored to the country’s unique seismogenic conditions. The system integrates both regional and local networks equipped with cutting-edge seismic monitoring technology capable of rapidly detecting seismic activity, estimating ground motion, and issuing real-time alerts. The system operate with artificial intelligence algorithms that enhance epicenter localization precision, ground motion prediction, and minimize false alerts. By leveraging cloud-based data processing, the system ensures real-time alerts with reduced latencies and improved accuracy, achieving a 62% improvement in lead times in simulations of significant events, such as the Sept 19th 2022 Michoacán earthquake (Mw 7.7).

The EEW network supports both public safety and business continuity by delivering timely alerts and contributing valuable seismic data for research. The regional network prioritizes high-risk areas such as Oaxaca, Guerrero, and Michoacán, while the local network focuses on densely populated zones like Mexico City and the State of Mexico.

Furthermore, the system’s planned expansion to Baja California includes hybrid stations enabling geotechnical and seismic studies, such as base noise analysis and seismic profiling. These advancements highlight the importance of interdisciplinary collaboration to improve EEW coverage, accuracy, and adoption. This approach integrates technological solutions, seismic research, and risk management, establishing a scalable model for global applications.

Session: Performance and Progress of Earthquake Early Warning Systems Around the World [Poster]

Type: Poster

Date: 4/16/2025

Presentation Time: 08:00 AM (local time)

Presenting Author: Jesus

Student Presenter: No

Invited Presentation: 

Poster Number: 114

Authors