Vol. 33 No. 2 (1994)
Articles

Obtención de correcciones de estación para redes sismológicas locales; correcciones para la red RESCO de Colima

F. A. Nava
División Ciencias de la Tierra, CICESE, Ensenada, B. C., México. En licencia del Instituto de Geofísica UNAM, México.
R. E. García Arthur
División Ciencias de la Tierra, CICESE, Ensenada, B. C., México. En licencia del Instituto de Geofísica UNAM, México.

Published 1994-04-01

Keywords

  • Location,
  • seismological networks,
  • Fuego (Colima) volcano.
  • Localización,
  • redes sismológicas,
  • Volcán de Fuego (Colima).

How to Cite

Nava, F. A., & García Arthur, R. E. (1994). Obtención de correcciones de estación para redes sismológicas locales; correcciones para la red RESCO de Colima. Geofísica Internacional, 33(2), 211-221. https://doi.org/10.22201/igeof.00167169p.1994.33.2.470

Abstract

Correct location of seismic hypocenters is essential for microseismicity studies based on local seismological network data. The spatio-temporal distribution of the seismic sources reflects the stress distribution and evolution in volcanos and active faults, and gives important information for hazard assessment.

Seismological networks that do locations based on a laterally homogeneous velocity model, particularly when located in regions of abrupt topography, require station corrections for precise hypocentral locations. A method is presented for obtaining station corrections for local seismological networks, based on a preliminary determination from teleseismic signal arrival times, modiï¬ed by trial and error and ï¬tting of mean residuals from local earthquake locations.

The method is applied to obtaining corrections for the stations of the Colima Seismological Network (RESCO) which monitors the seismic activity of the Fuego Volcano. These corrections range from -0.20O s to +0360 s and, when applied to the location of 30 shallow volcanic earthquakes, reduce the total hypocentral errors from 0.092 km to 0.063 km. the origin time ones from 0.038 s to 0.026 s, and considerably increase the location stability and robustriess.