eprintid: 1259 rev_number: 22 eprint_status: archive userid: 2 dir: disk0/00/00/12/59 datestamp: 2015-02-25 08:24:01 lastmod: 2017-09-19 10:34:18 status_changed: 2015-04-27 12:10:34 type: article metadata_visibility: show creators_name: Sharma, N. creators_name: Convertito, Vincenzo creators_name: Maercklin, N. creators_name: Zollo, Aldo corp_creators: Dipartimento di Scienze Fisiche, Unità di Recerca in Sismologia Speri- mentale e Computazionale Università degli Studi di Napoli “ Federico II ” Complesso Universitario di Monte S. Angelo, via Cintia 80126 Napoli, Italy corp_creators: Istituto Nazionale di Geofisica e Vulcanologia Osservatorio Vesuviano via Diocleziano 328 8014 Napoli, Italy corp_creators: AMRA S.c.a.r.l. Analysis and Monitoring of Environmental Risk Via Nuova Agnano 11 80125 Napoli, Italy title: Ground-Motion Prediction Equations for The Geysers Geothermal Area based on Induced Seismicity Records ispublished: pub subjects: RU1_1 subjects: SG subjects: SS divisions: SHEER-5 full_text_status: none abstract: The Geysers geothermal field in Northern California, which has been actively exploited since the 1960s, is the world’s largest geothermal field. The continuous injection of fluids and the consequent stress perturbations induce seismicity that is clearly felt in the surrounding communities. In order to evaluate seismic hazard due to induced seismicity and the effects of seismicity rate level on the population and buildings in the area, reliable ground‐motion prediction equations (GMPEs) must be developed. This paper introduces the first GMPEs specific for The Geysers area in terms of peak ground velocity (PGV), peak ground acceleration (PGA), and 5% damped spectral acceleration SA(T) at T=0.2  s, 0.5 s, and 1.0 s. The adopted non‐linear mixed‐effect regression technique to derive the GMPE includes both fixed and random effects, and it permits to account for both inter‐event and intra‐event dependencies in the data. Site‐specific effects are also estimated from the data and are corrected in the final ground‐motion model. We used data from earthquakes recorded at 29 stations of the Berkeley‐Geysers network during the period September 2007 through November 2010. The magnitude range is 1.3≤Mw≤3.3, whereas the hypocentral distances range between 0.5 km and 20 km. The comparison of our new GMPE for The Geysers with a standard model derived in a different tectonic context shows that our model is more robust when predictions have to be made for induced earthquakes in this geothermal area. date: 2013-02 date_type: published publication: Bulletin of the Seismological Society of America volume: 103 number: 1 publisher: Seismological Society of America pagerange: 117-130 id_number: doi:10.1785/0120120138 refereed: TRUE issn: 0037-1106 official_url: http://dx.doi.org/10.1785/0120120138 access_IS-EPOS: limited owner: Publisher citation: Sharma, N. and Convertito, Vincenzo and Maercklin, N. and Zollo, Aldo (2013) Ground-Motion Prediction Equations for The Geysers Geothermal Area based on Induced Seismicity Records. Bulletin of the Seismological Society of America, 103 (1). pp. 117-130. DOI: https://doi.org/10.1785/0120120138