Estimation of Ground‐Motion Variability in the Central and Eastern United States Using Deterministic Physics‐Based Synthetics

• DOI: 10.1785/0120180030
• Publication Date: 2018-10-02T11:43:18Z
• Authors: Xiaodan Sun; Brandon Clayton; Stephen Hartzell; Sanaz Rezaeian
• Keywords: Icon; Geological survey; Research center; Download

Research Article| October 02, 2018 Estimation of Ground‐Motion Variability in the Central and Eastern United States Using Deterministic Physics‐Based Synthetics Xiaodan Sun; Sun aMOE Key Laboratory High‐Speed Railway Engineering, Southwest Jiaotong University, 111‐15 Beiyiduan, Erhuan Road, Chengdu 610031, China, [e-mail] Search for other works by this author on: GSW Google Scholar Brandon Clayton; Clayton bU.S. Geological Survey, Denver Federal Center, P.O. Box 25046, MS 966, Denver, Colorado 80225 Stephen Hartzell; Hartzell Sanaz Rezaeian Bulletin Seismological Society America (2018) 108 (6): 3368–3383. https://doi.org/10.1785/0120180030 Article history first online: 02 Oct Cite View This Citation Add to Manager Share Icon Facebook Twitter LinkedIn MailTo Tools Get Permissions Site Sun, Clayton, Hartzell, Rezaeian; Synthetics. 2018;; doi: Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Dropdown Menu input auto suggest filter your All ContentBy SocietyBulletin Advanced Abstract We estimate ground‐motion variability central eastern (CEUS) a deterministic physics‐based method, which has been previously used simulate ground motions M 5.8 Mineral, Virginia, 7.6 Bhuj, India (a tectonic analog CEUS), earthquakes. Next Generation Attenuation (NGA‐East) database, we model additional CEUS then scenario 6.0, 6.5, 7.0, 7.5, 8.0 events. To uncertainty using use several realizations parameters mechanism, slip, stress drop, rupture velocity, source depth, 1D velocity structure. Our median amplitudes peak acceleration (PGA) pseudospectral (PSA) at variety periods compare well with previous results from NGA‐East 2014 National Seismic Hazard Model (NSHM) prediction equation (GMPE) CEUS. The synthetic is relatively centered within range 13 GMPEs U.S. Survey (USGS) GMPE. standard deviation motion (sigma) computed directly all ranges ∼0.4 0.85 natural log units. For most magnitudes, periods, distances, our sigma falls values seed NSHM GMPE but can be higher than, comparable to, or less than ergodic adopted USGS depending on magnitude period. Generally, observe larger within‐event ϕ between‐events τ⁠, agrees similar studies. There no clear trend either total τ distance, consistent that found North (CENA). difference among sigmas different magnitudes becomes increasing period, so does between ϕ⁠. You do not have access content, please speak institutional administrator if you feel should access.