IAG-IASPEI 2017

Presentation information

Poster

Joint Symposia » J02. Recent large and destructive earthquakes

[J02-P] Poster

Fri. Aug 4, 2017 3:00 PM - 4:00 PM Shinsho Hall (The KOBE Chamber of Commerce and Industry, 3F)

3:00 PM - 4:00 PM

[J02-P-07] Characterized Source Model of 2016 Meinong Earthquake, Taiwan, Inferred by the Empirical Green's Function Method

Yin-Tung Yen1, Yi-Ying Wen2, Ming-Che Hsieh1 (1.Sinotech Engineering Consultants, Inc., Taipei, Taiwan, 2.Department of Earth and Environmental Sciences, National Chung Cheng University, Minhsiung, Taiwan)

We investigate the source characteristics of the 2016 (ML6.6) Meinong earthquake, which strongly struck the southwest Taiwan on 2016/02/06 03:57:26 (local time), by strong motion simulation with the Empirical Green's Function Method (EGFM).This event induced a noticeable amount of building damage reported due to the strong ground motion, especially two high-rise buildings collapsed in Tainan City and caused totally 117 deaths and more than 500 casualties. Several source models of the 2016 Meinong earthquake inverted by strong motion, teleseismic and GPS data were proposed from various studies. Most of them show two asperities on the east –west trending fault plane. In this study, we focus on the characterized source model (CSM), which includes one or more rectangular Strong Motion Generation Areas (SMGAs) on a presumed fault plane. The CSM can be derived by implementing EGFM using small-event records as the empirical Green's functions. An optimal CSM will be derived by fitting the synthetics to the observed waveforms. The CSMs can be utilized conveniently for inputs of a source model to predict strong ground motions for earthquake scenarios in addressing the seismic hazard. Thus, validation of CSM for a specific earthquake will benefit the reliability of predicting source model. For a seismically active region like Taiwan, it is important to perform ground-motion-simulation cases for moderate-to-large events to obtain an empirical relationship for addressing CSMs. Then, shaking maps from strong motion simulations for specific fault scenarios can be useful for seismic disaster preparation plan.