Cerca | Facebook

Bao-hua ZHANG ha aggiunto una foto Literature
2025-10-14 01:16:09 -

On the Feasibility of Monitoring Crustal Deformation Using a High-Precision Gyroscopes and Sundial Network Based on Topological Vortex Theory (TVT)
Introduction Earthquake prediction remains one of the most challenging problems in geoscience. Traditional methods primarily rely on monitoring crustal physical parameters (such as crustal stress, geoelectricity, geomagnetism, groundwater levels). However, these parameters are often highly localized and susceptible to numerous interference factors, making it difficult to establish universal...

0 Commenti 0 condivisioni 42 Views 0 Anteprima

Effettua l'accesso per mettere mi piace, condividere e commentare!
Bao-hua ZHANG ha aggiunto una foto Literature
2025-10-14 01:26:59 -

On the Feasibility of Monitoring Crustal Deformation Using a High-Precision Gyroscopes and Sundial Network Based on Topological Vortex Theory (TVT)
I. Theoretical Basis and Physical Mechanisms 1.1 Topological Vortex Stress Field: The time-varying angle between the Earth's rotation axis and the Sun's rotation axis (e.g., nutation, precession) can, through angular momentum conservation and gravitational torque, form a vortex-like stress field within the Earth's interior, inducing minor crustal deformations. This deformation manifests as...

0 Commenti 0 condivisioni 32 Views 0 Anteprima

Effettua l'accesso per mettere mi piace, condividere e commentare!
Bao-hua ZHANG ha aggiunto una foto Literature
2025-10-14 01:31:16 -

On the Feasibility of Monitoring Crustal Deformation Using a High-Precision Gyroscopes and Sundial Network Based on Topological Vortex Theory (TVT)
III. Challenges and Validation Requirements 3.1 Data Noise Filtering: Crustal deformation signals might be masked by interference such as atmospheric disturbances and temperature fluctuations. Extracting the characteristic signatures of topological vortices will likely require advanced data analysis techniques like machine learning. 3.2 Interdisciplinary Validation: Validation of the causal...

0 Commenti 0 condivisioni 36 Views 0 Anteprima

Effettua l'accesso per mettere mi piace, condividere e commentare!