The joint inversion of different geophysical datasets is an effective means to reduce the non-uniqueness and improve the reliability of geophysical inversion. In this study, seismic arrival time and Bouguer gravity datasets are jointly inverted, as well as the susceptibility distribution to obtain an image of 3-D subsurface structure in the northern segment of the Hsuehshan Range. According to the results of joint inversion in previous study, the model obtained from joint inversion fits the arrival time observations at least as well as when inverted individually, and the gravity observations are much better fit when included in the inversion, implying a reduction in ambiguity by simultaneously modeling the disparate datasets. The study area is mainly in Hsuehshan Range. In the past, fewer geophysical and geological observations of the Hsuehshan Range were reported due to extremely difficult accessibility. To image 3-D subsurface structure, this proposal will deploy a local seismic network equipped with high-resolution seismic observed system. In addition, revised gravity and magnetic anomalous data will be joined to obtain more reliable structure. It will improve the understanding of tectonic structure of the Hsuehshan Range.
|Effective start/end date||1/08/20 → 31/07/21|
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
- seismic data
- Hsuehshan Range
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