### Abstract

Language | English |
---|---|

Pages | 2219–2235 |

Number of pages | 17 |

Journal | Journal of Geophysical Research: Solid Earth |

Volume | 122 |

Issue number | 3 |

DOIs | |

State | Published - 22 Mar 2017 |

### Fingerprint

### Keywords

- ground motion prediction equations
- dynamic rupture
- seismic gap
- seismic risk
- earthquake

### Cite this

*Journal of Geophysical Research: Solid Earth*,

*122*(3), 2219–2235. DOI: 10.1002/2016JB013790

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*Journal of Geophysical Research: Solid Earth*, vol. 122, no. 3, pp. 2219–2235. DOI: 10.1002/2016JB013790

**Stress accumulation in the Marmara Sea estimated through ground-motion simulations from dynamic rupture scenarios.** / Aochi, Hideo; Douglas, John; Ulrich, Thomas.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Stress accumulation in the Marmara Sea estimated through ground-motion simulations from dynamic rupture scenarios

AU - Aochi,Hideo

AU - Douglas,John

AU - Ulrich,Thomas

N1 - This is the peer reviewed version of the following article: Aochi, H., Douglas, J., & Ulrich, T. (2017). Stress accumulation in the Marmara Sea estimated through ground-motion simulations from dynamic rupture scenarios. Journal of Geophysical Research: Solid Earth, which will be published in final form by Wiley. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving

PY - 2017/3/22

Y1 - 2017/3/22

N2 - We compare ground motions simulated from dynamic rupture scenarios, for the seismic gap along the North Anatolian Fault under the Marmara Sea Turkey), to estimates from empirical ground motion prediction equations (GMPEs). Ground motions are simulated using a finite difference method and a 3D model of the local crustal structure. They are analyzed at more than a thousand locations in terms of horizontal peak ground velocity. Characteristics of probable earthquake scenarios are strongly dependent on the hypothesized level of accumulated stress, in terms of a normalized stress parameter T (Aochi and Ulrich, 2015). With respect to the GMPEs, it is found that simulations for many scenarios systematically overestimate the ground motions at all distances. Simulations for only some scenarios, corresponding to moderate stress accumulation, match the estimates from the GMPEs. The difference between the simulations and the GMPEs is used to quantify the relative probabilities of each scenario and, therefore, to revise the probability of the stress field. A magnitude Mw7+ operating at moderate prestress field (0.6 < T ≤ 0.7) is statistically more probable, as previously assumed in the logic tree of probabilistic assessment of rupture scenarios. This approach of revising the mechanical hypothesis by means of comparison to an empirical statistical model (e.g. a GMPE) is useful not only for practical seismic hazard assessments but also to understand crustal dynamics.

AB - We compare ground motions simulated from dynamic rupture scenarios, for the seismic gap along the North Anatolian Fault under the Marmara Sea Turkey), to estimates from empirical ground motion prediction equations (GMPEs). Ground motions are simulated using a finite difference method and a 3D model of the local crustal structure. They are analyzed at more than a thousand locations in terms of horizontal peak ground velocity. Characteristics of probable earthquake scenarios are strongly dependent on the hypothesized level of accumulated stress, in terms of a normalized stress parameter T (Aochi and Ulrich, 2015). With respect to the GMPEs, it is found that simulations for many scenarios systematically overestimate the ground motions at all distances. Simulations for only some scenarios, corresponding to moderate stress accumulation, match the estimates from the GMPEs. The difference between the simulations and the GMPEs is used to quantify the relative probabilities of each scenario and, therefore, to revise the probability of the stress field. A magnitude Mw7+ operating at moderate prestress field (0.6 < T ≤ 0.7) is statistically more probable, as previously assumed in the logic tree of probabilistic assessment of rupture scenarios. This approach of revising the mechanical hypothesis by means of comparison to an empirical statistical model (e.g. a GMPE) is useful not only for practical seismic hazard assessments but also to understand crustal dynamics.

KW - ground motion prediction equations

KW - dynamic rupture

KW - seismic gap

KW - seismic risk

KW - earthquake

UR - http://onlinelibrary.wiley.com/doi/10.1002/2016JB013790/full

U2 - 10.1002/2016JB013790

DO - 10.1002/2016JB013790

M3 - Article

VL - 122

SP - 2219

EP - 2235

JO - Journal of Geophysical Research: Solid Earth

T2 - Journal of Geophysical Research: Solid Earth

JF - Journal of Geophysical Research: Solid Earth

SN - 2169-9356

IS - 3

ER -