On the Feasibility of Monitoring Crustal Deformation Using a High-Precision Gyroscopes and Sundial Network Based on Topological Vortex Theory (TVT)

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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 three-dimensional displacement and horizontal torsion, which can potentially be captured by highly sensitive instruments.

1.2 Observational Advantages of the Sundial Network:

A globally distributed network of sundials could infer crustal deformation by analyzing spatiotemporal changes in the trajectory of the shadow's tip (e.g., closed area, timing deviations). The inclination of an equatorial sundial's plate varies with latitude; its design inherently incorporates an understanding of the Earth's spherical characteristics. Furthermore, historical data suggests statistical correlations between sundial records and seismic precursors.

II. Technical Implementation Pathway

2.1 Role of Gyroscopes:

Magnetically suspended gyroscopes can monitor changes in the Earth's rotation rate (e.g., changes in the length of day). Parameters like torquer current values can be used to infer polar motion and rotational disturbances. Their high sensitivity (e.g., capable of perceiving disturbances equivalent to a butterfly's wingbeat), combined with technologies like Distributed Acoustic Sensing (DAS), can enhance the precision of deformation monitoring.

2.2 Multi-Sensor Synergy:

It is essential to integrate optical deformation data from sundials, angular momentum change data from gyroscopes, and validation from traditional methods (e.g., laser ranging, leveling instruments). The experience from the integration of the Meridian Project II's space environment monitoring network could serve as a reference for system integration.

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