Resumen

ARREGUI OJEDA, Sergio et al. Evaluating the potential of CICESE seismological network for its application in an earthquake early warning system for the northern Baja California region. Ing. sísm [online]. 2022, n.109, pp.28-46.  Epub 17-Mar-2023. ISSN 0185-092X.  https://doi.org/10.18867/ris.109.601.

Northern Baja California (NBC) is characterized by two subregions: Peninsular Ranges of Baja California (PRBC) and Mexicali Valley (MV). In NBC, there are cities whose population could benefit from the operation of an Early Earthquake Warning System (EEWS). To implement an EEWS in NBC, which allows issuing notifications to warn people about the arrival of seismic waves generated by relevant earthquakes in NBC, we evaluated the capacity of response of the CICESE Seismological Network (CSN). The seismic signals from stations of this network are sent to the processing center, located at CICESE, using different transmission media. Commercial and cellular Internet modem transmissions with low latency times (< 2 s) stand out. We evaluated the performance of the CSN using the SeisComP3 acquisition and detection system in combination with the Virtual Seismologist (VS) method. This evaluation began in April 2017 and resulted in more than 5,000 earthquakes (2.0 ≤ M ≤ 5.0) recorded and processed with SeisComP3/VS. Based on the current geographical coverage of the network and the area of occurrence of a relevant earthquake, the EEWS could notify the population up to 20 seconds in advance. There is good coverage for earthquakes occurring in the VM, and notifications can be sent to cities such as Ensenada and Tijuana but not to Mexicali. For PRBC earthquakes, it is impossible to issue a prior notice to any of the towns mentioned due to insufficient station coverage. However, we consider the implementation of an EEWS for NBC feasible if the geographical coverage of the CSN stations is improved and transmission schemes with low latency times are used.

Palabras llave : Northern Baja California; Earthquake Early Warning System; SeisComp3/VS; CICESE Seismological network.

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