Modeling of strong ground motion in ``The Geysers'' geothermal area
N. Sharma, V. Convertito, N. Maercklin, и A. Zollo. EGU General Assembly, Geophysical Research Abstracts, том 14 из EGU General Assembly Conference Abstracts, стр. 2956+. European Geosciences Union, (апреля 2012)
Аннотация
The Geysers is a vapor-dominated geothermal field located about 120
km north of San Francisco, California. The field is actively exploited
since the 1960s, and it is now perhaps the most important and most
productive geothermal field in the USA. The continuous injection
of fluids and the stress perturbations of this area has resulted
in induced seismicity which is clearly felt in the surrounding villages.
Thus, based on these considerations, in the present work Ground Motion
Prediction Equations (GMPEs) are derived, as they play key role in
seismic hazard analysis control and for monitoring the effects of
the seismicity rate levels. The GMPEs are derived through the mixed
non-linear regression technique for both Peak Ground Velocity (PGV)
and Peak Ground Acceleration (PGA). This technique includes both
fixed effects and random effects and allows to account for both inter-event
and intra-event dependencies in the data. In order to account for
site/station effects, a two steps approach has been used. In the
first step, regression analysis is performed without station corrections
and thus providing a reference model. In the second step, based on
the residual distribution at each station and the results of a Z-test,
station correction coefficients are introduced to get final correct
model. The data from earthquakes recorded at 29 stations for the
period September 2007 through November 2010 have been used. The magnitude
range is (1.0 < Mw < 3.5) while the hypocentral distances range between
0.5 km and 20 km. The final models are compared with standard models
obtained using data collected in different tectonic environments
and magnitude ranges to understand the compatibility of the model
obtained from data collected in geothermal fields with respect to
those obtained from natural seismic events. The residual analysis
is performed at individual stations to check the reliability of the
station corrections and for evaluating the fitting reliability of
the retrieved model. The best model has been chosen on the basis
of inter-event standard error and R-square test. After the introduction
of the site/station correction factor, an improvement in the fit
is observed, which resulted in total standard error reduction and
increased R-square values.
%0 Conference Paper
%1 sharma_etal:2012
%A Sharma, N.
%A Convertito, V.
%A Maercklin, N.
%A Zollo, A.
%B EGU General Assembly, Geophysical Research Abstracts
%D 2012
%E Abbasi, A.
%E Giesen, N.
%K geophysics myown seismology
%P 2956+
%T Modeling of strong ground motion in ``The Geysers'' geothermal area
%U http://presentations.copernicus.org/EGU2012-2956_presentation.pdf
%V 14
%X The Geysers is a vapor-dominated geothermal field located about 120
km north of San Francisco, California. The field is actively exploited
since the 1960s, and it is now perhaps the most important and most
productive geothermal field in the USA. The continuous injection
of fluids and the stress perturbations of this area has resulted
in induced seismicity which is clearly felt in the surrounding villages.
Thus, based on these considerations, in the present work Ground Motion
Prediction Equations (GMPEs) are derived, as they play key role in
seismic hazard analysis control and for monitoring the effects of
the seismicity rate levels. The GMPEs are derived through the mixed
non-linear regression technique for both Peak Ground Velocity (PGV)
and Peak Ground Acceleration (PGA). This technique includes both
fixed effects and random effects and allows to account for both inter-event
and intra-event dependencies in the data. In order to account for
site/station effects, a two steps approach has been used. In the
first step, regression analysis is performed without station corrections
and thus providing a reference model. In the second step, based on
the residual distribution at each station and the results of a Z-test,
station correction coefficients are introduced to get final correct
model. The data from earthquakes recorded at 29 stations for the
period September 2007 through November 2010 have been used. The magnitude
range is (1.0 < Mw < 3.5) while the hypocentral distances range between
0.5 km and 20 km. The final models are compared with standard models
obtained using data collected in different tectonic environments
and magnitude ranges to understand the compatibility of the model
obtained from data collected in geothermal fields with respect to
those obtained from natural seismic events. The residual analysis
is performed at individual stations to check the reliability of the
station corrections and for evaluating the fitting reliability of
the retrieved model. The best model has been chosen on the basis
of inter-event standard error and R-square test. After the introduction
of the site/station correction factor, an improvement in the fit
is observed, which resulted in total standard error reduction and
increased R-square values.
@inproceedings{sharma_etal:2012,
abstract = {The Geysers is a vapor-dominated geothermal field located about 120
km north of San Francisco, California. The field is actively exploited
since the 1960s, and it is now perhaps the most important and most
productive geothermal field in the USA. The continuous injection
of fluids and the stress perturbations of this area has resulted
in induced seismicity which is clearly felt in the surrounding villages.
Thus, based on these considerations, in the present work Ground Motion
Prediction Equations (GMPEs) are derived, as they play key role in
seismic hazard analysis control and for monitoring the effects of
the seismicity rate levels. The GMPEs are derived through the mixed
non-linear regression technique for both Peak Ground Velocity (PGV)
and Peak Ground Acceleration (PGA). This technique includes both
fixed effects and random effects and allows to account for both inter-event
and intra-event dependencies in the data. In order to account for
site/station effects, a two steps approach has been used. In the
first step, regression analysis is performed without station corrections
and thus providing a reference model. In the second step, based on
the residual distribution at each station and the results of a Z-test,
station correction coefficients are introduced to get final correct
model. The data from earthquakes recorded at 29 stations for the
period September 2007 through November 2010 have been used. The magnitude
range is (1.0 < Mw < 3.5) while the hypocentral distances range between
0.5 km and 20 km. The final models are compared with standard models
obtained using data collected in different tectonic environments
and magnitude ranges to understand the compatibility of the model
obtained from data collected in geothermal fields with respect to
those obtained from natural seismic events. The residual analysis
is performed at individual stations to check the reliability of the
station corrections and for evaluating the fitting reliability of
the retrieved model. The best model has been chosen on the basis
of inter-event standard error and R-square test. After the introduction
of the site/station correction factor, an improvement in the fit
is observed, which resulted in total standard error reduction and
increased R-square values.},
added-at = {2012-09-01T13:08:21.000+0200},
author = {Sharma, N. and Convertito, V. and Maercklin, N. and Zollo, A.},
biburl = {https://www.bibsonomy.org/bibtex/217580aaf8841292af18fae530cb3aab4/nilsma},
booktitle = {EGU General Assembly, Geophysical Research Abstracts},
editor = {Abbasi, A. and Giesen, N.},
interhash = {4e9076da7cf8c805ac923393cac6c7db},
intrahash = {17580aaf8841292af18fae530cb3aab4},
keywords = {geophysics myown seismology},
month = apr,
organization = {European Geosciences Union},
pages = {2956+},
series = {EGU General Assembly Conference Abstracts},
timestamp = {2021-02-09T13:56:15.000+0100},
title = {Modeling of strong ground motion in ``The Geysers'' geothermal area},
url = {http://presentations.copernicus.org/EGU2012-2956_presentation.pdf},
volume = 14,
year = 2012
}