SeisMonitor in Colombia
We applied it to Colombia using nearly 7 years (2016–2022) of seismic data, successfully revealing significant tectonic structures and crustal faults.
Paper
See it here: Colombian Seismic Monitoring Using Advanced Machine-Learning Algorithms
Emmanuel Castillo, Daniel Siervo, Germán A. Prieto; Colombian Seismic Monitoring Using Advanced Machine‐Learning Algorithms. Seismological Research Letters 2024;; 95 (5): 2971–2985. doi: https://doi.org/10.1785/0220240036
Colombia Dataset
Data |
Link |
|---|---|
EQTransformer-picks |
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GaMMA-catalog |
|
GaMMA-picks |
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SeisMonitor-catalog |
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SeisMonitor-picks |
SeisMonitor Workflow
Seismic Data
More than 100 stations across Colombia Seismic Network (CM )
Earthquake Detection & Phase Picking
We used EQTransformer to detect earthquakes and pick phases.
Phase Association
We used GaMMA to associate phases and obtained our first catalog.
NLloc Catalog
Although preliminary GaMMA locations are good enough to allow us to visualize the main seismic activity, we use NLLoc to further improve earthquake locations
Colombian Seismicity
It stands out for its computational efficiency, as well as its earthquake detection and location performance, demonstrating a high level of quality that effectively highlights key tectonic features and seismicity trends in northern South America.
