Abstract
The paper describes procedures for automatic location of local events by using single-site, three-component (3c) seismogram records. Epicentral distance is determined from the time difference between P- and S-onsets. For onset time estimates a special phase picker algorithm is introduced. Onset detection is accomplished by comparing short-term average with long-term average after multiplication of north, east and vertical components of recording. For epicentral distances up to 100 km, errors seldom exceed 5 km. The slowness vector, essentially the azimuth, is estimated independently by using the Christoffersson et al. (1988) `polarization` technique, although a priori knowledge of the P-onset time gives the best results. Differences between `true` and observed azimuths are generally less than 12 deg C. Practical examples are given by demonstrating the viability of the procedures for automated 3c seismogram analysis. The results obtained compare favourably with those achieved by a miniarray of three stations. (orig.).
Saari, J
[1]
- Imatran Voima Oy, Vantaa (Finland)
Citation Formats
Saari, J.
Automated phase picker and source location algorithm for local distances using a single three component seismic station.
Finland: N. p.,
1989.
Web.
Saari, J.
Automated phase picker and source location algorithm for local distances using a single three component seismic station.
Finland.
Saari, J.
1989.
"Automated phase picker and source location algorithm for local distances using a single three component seismic station."
Finland.
@misc{etde_10118763,
title = {Automated phase picker and source location algorithm for local distances using a single three component seismic station}
author = {Saari, J}
abstractNote = {The paper describes procedures for automatic location of local events by using single-site, three-component (3c) seismogram records. Epicentral distance is determined from the time difference between P- and S-onsets. For onset time estimates a special phase picker algorithm is introduced. Onset detection is accomplished by comparing short-term average with long-term average after multiplication of north, east and vertical components of recording. For epicentral distances up to 100 km, errors seldom exceed 5 km. The slowness vector, essentially the azimuth, is estimated independently by using the Christoffersson et al. (1988) `polarization` technique, although a priori knowledge of the P-onset time gives the best results. Differences between `true` and observed azimuths are generally less than 12 deg C. Practical examples are given by demonstrating the viability of the procedures for automated 3c seismogram analysis. The results obtained compare favourably with those achieved by a miniarray of three stations. (orig.).}
place = {Finland}
year = {1989}
month = {Dec}
}
title = {Automated phase picker and source location algorithm for local distances using a single three component seismic station}
author = {Saari, J}
abstractNote = {The paper describes procedures for automatic location of local events by using single-site, three-component (3c) seismogram records. Epicentral distance is determined from the time difference between P- and S-onsets. For onset time estimates a special phase picker algorithm is introduced. Onset detection is accomplished by comparing short-term average with long-term average after multiplication of north, east and vertical components of recording. For epicentral distances up to 100 km, errors seldom exceed 5 km. The slowness vector, essentially the azimuth, is estimated independently by using the Christoffersson et al. (1988) `polarization` technique, although a priori knowledge of the P-onset time gives the best results. Differences between `true` and observed azimuths are generally less than 12 deg C. Practical examples are given by demonstrating the viability of the procedures for automated 3c seismogram analysis. The results obtained compare favourably with those achieved by a miniarray of three stations. (orig.).}
place = {Finland}
year = {1989}
month = {Dec}
}