Proposal for a system model for offline seismic event detection in Colombia

This paper presents an integrated model for seismic events detection in Colombia using machine learning techniques. Machine learning is used to identify P-wave windows in historic records and hence detect seismic events. The proposed model has five modules that group the basic detection system proce...

Full description

Autores:
Miranda, Julian
Flórez Abril, Angélica
Ospina, Gustavo
Gamboa, Ciro Alberto
Altuve, Miguel
FLOREZ-GONGORA, CARLOS
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Universidad Francisco de Paula Santander
Repositorio:
Repositorio Digital UFPS
Idioma:
eng
OAI Identifier:
oai:repositorio.ufps.edu.co:ufps/710
Acceso en línea:
http://repositorio.ufps.edu.co/handle/ufps/710
https://doi.org/10.3390/fi12120231
Palabra clave:
seismic event detection
detection model
seismology
classification
Rights
openAccess
License
Atribución 4.0 Internacional (CC BY 4.0)