Overview
Quartz-bearing terrains (granite batholiths, high-silica volcanics, silica-cemented sands) exhibit piezoelectric, pyroelectric, and dielectric behaviors that can align with solar-cycle forcing (sunspot maxima, CME windows, Schwabe/Hale periods). V4.5 defines indices and workflows to detect electro-mechanical resonance in these terrains and connect it to hydrologic response (spring discharge, conduit opening/closing) and microseismicity.
Notation (Dual-Script Intro)
Codex symbols use dual-script subscripts once here for clarity (see Notation Charter).
| Concept | Symbol | Plain Term (ARIA) | Brief Definition |
|---|---|---|---|
| Quartz Resonance Quality | 𝑄𐤒ᚩ | quartz resonance quality | Composite of quartz abundance, grain/fabric orientation, and piezo/pyro response potential. |
| Solar Forcing Index | 𝑆𐤎ᚦ | solar forcing index | Sunspot/CME activity windowed at node latitude/longitude; incorporates Kp/Ap and ionospheric TEC anomalies. |
| Electro‑Hydro Coupling | 𝜒𐤏ᚠ | electro‑hydrologic coupling | Observed or modeled sensitivity of permeability/discharge to EM or thermal excitation in quartz media. |
| Resonant Event Likelihood | 𝛬𐤋ᛟ | resonant event likelihood | Probability of resonance-driven triggers (spring surges, conduit opening, microquakes) given 𝑄, 𝑆, and 𝜒. |
After this table we reference plain terms; symbol semantics live in the Charter.
Objectives
- Map quartz resonance quality across Codex corridors; prioritize high‑Q terrains.
- Ingest solar activity feeds and compute site‑specific forcing windows.
- Quantify electro‑hydrologic coupling using discharge, conductivity, and microseismic time‑series.
- Issue reproducible resonant event likelihood scores for monitoring and planning.
Data Inputs
| Layer | Examples | Use |
|---|---|---|
| Mineralogy | Quartz indices, granite/tuff maps, fabric orientation (V3.5) | Compute quartz resonance quality |
| Solar/E-M | Sunspots, CME lists, Kp/Ap, TEC, ground EM flux | Solar forcing index; trigger correlation |
| Hydrology | Spring discharge, head, EC/temperature time‑series | Electro‑hydro coupling estimation |
| Seismo/Strain | Microseismic catalogs, GNSS strain | Detect resonance‑timed microevents |
Methods
- Quartz Map: combine quartz abundance with fabric/joint orientation and porosity to derive a resonance quality raster.
- Solar Windowing: downscale solar indices to site lat/long; flag CME & high‑Kp windows.
- Coupling Analysis: correlate discharge/head/EC shifts and microseisms with solar windows using cross‑correlation and Granger causality; report effect sizes.
- Likelihood Synthesis: fuse quality, forcing, and coupling into a resonant event likelihood layer with uncertainty.
Indicative Form (for transparency)
ResonantEventLikelihood ≈ σ( a·QuartzQuality + b·SolarForcing + c·ElectroHydroCoupling + d·Slope/Confinement ),
where σ is a logistic squash and all components are scaled to [0,1].
Implementation (Repo Hooks)
scripts/QuartzResonance.py— builds quartz resonance quality and writesout/v45_quartz_Q.tif.scripts/SolarCoupling.py— ingests solar feeds, computes site windows, and writesout/v45_solar_S.tif.scripts/ResonantEvents.py— fuses inputs + hydrology/seismic time‑series toout/v45_resonance_L.tif.