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Multi-sensor framework quantifies tectonic structural changes, indicating potential instability prior to rupture.
Tectonic systems evolve structurally long before rupture becomes imminent.Deformation gradients shift, microseismic clusters reorganize, stress tensors rotate, and slow-slip segments migrate—yet these signals remain fragmented across geodetic, seismic, and stress-modeling disciplines. Classical seismology measures strain, stress, and failure, but lacks a unified metric for how internal fault-zone structure changes under repeated loading. This paper introduces Ψ, the structural drift operator, defined as: Ψ = ∂S/∂R,where S denotes the structural configuration of a fault system (derived from InSAR deformation geometry, GNSS strain accumulation, microseismic spatial topology, and stress-tensor orientation), and R represents recurrence through incremental tectonic loading cycles. This work presents the first multi-sensor, operator-level framework for quantifying structural drift in tectonic environments. It provides a domain-independent formulation of Ψ, a robust extraction pipeline for ΔS and ΔR, temporal and spatial smoothing schemes, uncertainty quantification, and an associated structural exhaustion index L = 1/Ψ. The resulting Ψ-fields produce spatially coherent maps of drift dynamics, enabling structural instability to be identified even when individual precursor signals appear ambiguous or contradictory. The operatoric approach is validated through retrospective analysis of major events (Tohoku 2011, Ridgecrest 2019, Kaikoura 2016) and long-term monitoring regions (Hellenic Arc), demonstrating that Ψ consistently highlights convergent drift zones months to years before rupture. Unlike predictive models, Ψ offers a retrospectively verifiable, sensor-agnostic, and operationally compatible method for assessing structural sensitivity in tectonic systems. This paper establishes Autological Geophysics as a structural science of tectonic evolution:a unified operator framework for analysing how faults adapt, reorganize, and destabilize under recurrence. Ψ extends existing methodologies without requiring new sensors or hardware, offering an actionable layer for hazard assessment, multi-sensor integration, and long-term drift analysis. The work concludes with an ethical and governance appendix addressing the conceptual introduction of kognemic interventions—minimal, externally applied structural impulses intended to modulate drift dynamics. While no interventions are recommended, the paper outlines the necessary conditions, oversight structures, and ethical constraints for any future consideration of operator-level structural modulation in tectonic systems. Intellectual Property & ContactKOGNETIK® is a registered trademark of Serkan Elbasan (Germany).The KOGNETIK Research Series is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). All scientific works within the series are open for citation and derivative research under proper attribution.For partnerships, translations, or applied development inquiries:✉️ research@kognetik.de · 🌐 https://www.kognetik.de
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Serkan Elbasan (2026) studied this question.
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