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Assessing the Applicability of Ground‐Motion Models for Induced Seismicity Application in Central and Eastern North America

2018; Seismological Society of America; Volume: 108; Issue: 4 Linguagem: Inglês

10.1785/0120170330

1943-3573

Ali Farhadi, Shahram Pezeshk, Naeem Khoshnevis,

Structural Health Monitoring Techniques

Research Article| July 03, 2018 Assessing the Applicability of Ground‐Motion Models for Induced Seismicity Application in Central and Eastern North America Ali Farhadi; Ali Farhadi aDepartment of Civil Engineering, The University of Memphis, Memphis, Tennessee, afarhadi@memphis.eduspezeshk@memphis.edu Search for other works by this author on: GSW Google Scholar Shahram Pezeshk; Shahram Pezeshk aDepartment of Civil Engineering, The University of Memphis, Memphis, Tennessee, afarhadi@memphis.eduspezeshk@memphis.edu Search for other works by this author on: GSW Google Scholar Naeem Khoshnevis Naeem Khoshnevis bCenter for Earthquake and Research Information, The University of Memphis, Memphis, Tennessee, nkhshnvs@memphis.edu Search for other works by this author on: GSW Google Scholar Author and Article Information Ali Farhadi aDepartment of Civil Engineering, The University of Memphis, Memphis, Tennessee, afarhadi@memphis.eduspezeshk@memphis.edu Shahram Pezeshk aDepartment of Civil Engineering, The University of Memphis, Memphis, Tennessee, afarhadi@memphis.eduspezeshk@memphis.edu Naeem Khoshnevis bCenter for Earthquake and Research Information, The University of Memphis, Memphis, Tennessee, nkhshnvs@memphis.edu Publisher: Seismological Society of America First Online: 03 Jul 2018 Online Issn: 1943-3573 Print Issn: 0037-1106 © Seismological Society of America Bulletin of the Seismological Society of America (2018) 108 (4): 2265–2277. https://doi.org/10.1785/0120170330 Article history First Online: 03 Jul 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Ali Farhadi, Shahram Pezeshk, Naeem Khoshnevis; Assessing the Applicability of Ground‐Motion Models for Induced Seismicity Application in Central and Eastern North America. Bulletin of the Seismological Society of America 2018;; 108 (4): 2265–2277. doi: https://doi.org/10.1785/0120170330 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of the Seismological Society of America Search Advanced Search Abstract This study aims to present a relatively short list of interim induced proxy ground‐motion models (GMMs) most suitable for induced‐seismicity application in central and eastern North America (CENA). Induced proxy GMMs are models not established from datasets strictly made of induced events but can be used to predict ground motions from such events. For this purpose, we test the predictive power of a long list of GMMs against a dataset of induced earthquakes using the popular log‐likelihood (LLH) method of Scherbaum et al. (2009) and its natural extension, known as the multivariate logarithmic score of Mak et al. (2017). Our dataset is a subset of data provided by Rennolet et al. (2017) and is composed of 2414 time histories from 384 CENA induced events with hypocentral distances below 50 km and moment magnitudes from 3.5 to 5.8. Candidate GMMs are from two categories, including purely empirical models developed from the Next Generation Attenuation‐West2 (NGA‐West2) database and indigenous models of CENA. The NGA‐West2 database contains a large number of shallow small‐to‐moderate magnitude events from California that may approximate characteristic features of induced events in CENA. Some of the CENA models have considered near‐distance saturation for small‐to‐moderate magnitude range and/or have explicitly modeled source parameter as a function of focal depth that may make them reasonable induced proxy GMMs.Some models performed better in certain frequencies than others, and not a single model performed the best over the entire frequency range. Overall, three models including Abrahamson et al. (2014), Chiou and Youngs (2014), and Atkinson (2015) GMMs outperformed other models. These models are not specifically established for CENA but are properly modeled for magnitude and depth scaling. In addition, stochastic models favored in the low‐seismicity region of CENA appear not to perform better than models developed based on conventional statistical and empirical approaches for induced‐seismicity applications. The result of this study can be useful in selecting a suite of appropriate GMMs for performing probabilistic seismic hazard assessment. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.