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Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
Published on: August 7, 2017
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Earthquake alerting based on spatial geodetic data by spatiotemporal information transformation learning.
Yuyan Tong1, Renhao Hong1, Ze Zhang2
1School of Mathematics, South China University of Technology, Guangzhou 510640, China.
Summary
A new model-free framework, real-time spatiotemporal information transformation learning (RSIT), uses Global Navigation Satellite System data to provide early earthquake warnings. RSIT identifies critical transitions in geodynamical systems, enhancing seismic hazard assessment.
Area of Science:
- Geophysics
- Earthquake Science
- Nonlinear Dynamics
Background:
- Earthquake prediction is difficult due to complex, non-linear, and non-stationary geodynamical processes.
- Existing methods struggle with the high-dimensional, real-time nature of seismic data.
Purpose of the Study:
- To develop a model-free framework for extending non-linear and non-stationary time series for earthquake early warning.
- To utilize spatiotemporal information (STI) transformation for improved seismic hazard analysis.
Main Methods:
- Developed real-time spatiotemporal information transformation learning (RSIT) framework.
- Transformed high-dimensional Global Navigation Satellite System (GNSS) data into one-dimensional dynamics using STI.
- Utilized unpredictability and instability criteria of transformed dynamics to detect critical transitions.
Main Results:
- RSIT effectively signals potential critical transitions in geodynamical systems.
- Demonstrated effectiveness on geodynamical data from multiple earthquake-prone regions over 4+ years.
- Outperformed existing methods in earthquake early warning signal detection.
Conclusions:
- RSIT offers a novel approach to earthquake early warning by analyzing spatial and temporal dynamics.
- The framework leverages nonlinear dynamics and delay-embedding theory for robust predictions.
- RSIT shows promise for enhancing seismic hazard assessment and public safety.
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