Real-time inversion of earthquake source rupture process with strong motion and high-rate GPS data
Abstract
The earthquake epicenter, magnitude and fault mechanism, which have been able to be well determined fast and automatically by many institues, are the important information for early warning and emergency response of earthquake and tsunami disasters. However, they are still not enough to describe all disaster-causing mechanism since they is no information foe the fault slip history. On the other hand, the rupture models are commonly performed manually, making it hard to be used for early warning. Here, we use the automatic IDS (iterative deconvolution and stacking) method to test what the extent the rupture model could be used in early warning if it is estimated automatically and in real time. In a retrospective test of the 2019 Mw7.1 Ridgecrest earthquake, which was well recorded by local strong-motion and high-rate GPS networks, we found that the both the magnitude and slip distribution can be well obtained at about 80 s after the rupture initiation of the earthquake. This time mainly depends on the fault-site distances, and can in principle be further reduced if denser networks are used. For the strong-motion and the high-rate GPS networks, we found that the slight differences in the real-time estimates of magnitude and slip distribution. The major reason is the baseline shifts of the acceleration records. It is suggested to use the collocated GPS and strong-motion data to improve this problem.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.S53G0569W
- Keywords:
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- 4341 Early warning systems;
- NATURAL HAZARDS;
- 7212 Earthquake ground motions and engineering seismology;
- SEISMOLOGY;
- 7215 Earthquake source observations;
- SEISMOLOGY