2:45 PM - 3:00 PM
[SSS13-17] Extension of characterized source model for long-period strong motions near surface-rupture-earthquakes
Keywords:strong ground motions, characterized source model, strong-motion generation area, long-period motion generation area
Extension of characterized source model: Long-period motions with permanent displacements at the very-near-fault stations during the 2016 Kumamoto earthquake are not well simulated based on the conventional characterized source model. SMGAs in the conventional characterized model were determined inside the seismogenic zone deeper than 3 km. To generate long-period motions near the fault traces, long-period motion generation areas (LMGAs) are deployed in surface layers from fault traces down to a certain depth. Similar studies have been made by several authors (e.g. Ikutama et al. 2017; Tanaka et al., 2018; Satoh, 2018; Iwaki et al., 2018). Ground motions more than 2 s observed at very-near-fault-distance stations such as 93048 (Nishihara Village Hall), 93051 (Mashiki Town Hall), KMMH16 (Mashiki-KiK-net station) in the 2016 Kumamoto earthquake are well reproduced adding long-period motion generation areas (LMGAs). During the 2010 Mw7.1 Darfield (New Zealand), surface breaks caused by the mainshock were found associated with active faults by field surveys. Strong ground motions from the 2010 Darfield earthquake were also simulated well using the conventional characterized source model except ground motions at very-near fault stations. Reproduction of very-near-fault motions with permanent components for the 2010 Darfield earthquake are also needed to take into account LMGAs in surface layers. To determine the extended characterized source model for strong motion prediction of target earthquakes, first the procedures for estimating the outer and inner fault parameters are preserved for the SMGAs. Next, to set LMGAs for the target earthquake, Lb (Length of LMGA ), Wb (Width of LMGA), Db (Maximum slip of LMGA), Tb (rise time of slip velocity time, function) are systematically given, following scaling relationships for surface-rupture earthquakes.
This study was supported in part by the Grants-in-Aids for Scientific Research (B) (P.I.: Hidenori Kawabe, Grant number: 16H03144) from the Ministry of Education, Culture, Sports, Science and Technology and the 2017 research project ‘Examination for uncertainty of strong ground motion prediction for the inland crustal earthquakes’ by the Secretariat of the Nuclear Regulation Authority (NRA), Japan.