S‐Wave detection using continuously operated GNSS stations: A case study of two Mw 7.1 earthquake events

[EN] This study presents a method developed to analyze the position timeseries of continuously operated GNSS stations located in the area around the epicenter of an earthquake, aiming at the detection of secondary seismic waves. Specifically, 5 Ηz positioning data from 14 GNSS stations operated by U...

Descripción completa

Detalles Bibliográficos
Autores: Krey, Vassiliki, Galanis, Iordanis, Zacharis, Vangelis, Tsakiri, Maria
Tipo de recurso: capítulo de libro
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/192041
Acceso en línea:https://riunet.upv.es/handle/10251/192041
Access Level:acceso abierto
Palabra clave:Global Navigation Satellite system (GNSS)
Geohazard
Earthquakes
S-waves
GNSS data
Timeseries analysis
Descripción
Sumario:[EN] This study presents a method developed to analyze the position timeseries of continuously operated GNSS stations located in the area around the epicenter of an earthquake, aiming at the detection of secondary seismic waves. Specifically, 5 Ηz positioning data from 14 GNSS stations operated by UNAVCO were used, located in the areas of Southern California and Alaska, for two distinct earthquake events of a 7.1 moment magnitude each. The method described follows three steps: rotation of the position components, noise filtering of timeseries using Kalman’s filter and the use of a moving average to statistically indicate the point of time in which the maximum displacement induced by the S-wave takes place. This method statistically proves the existence of a motion generated from a geohazard in a position timeseries of continuously operated station(s) of interest and, in addition, it indicates the exact time of the incident. The method can be employed in testing for displacement of continuous GNSS stations in areas affected by an earthquake, as well as for generating conclusions on the velocity and direction of seismic waves’ propagation.