DESERTAS: The Desert Breathes — A Quantitative Framework for Decoding Geogenic Gas Emissions, Tectonic Pulse Detection, and Pre-Seismic Geochemical Forecasting in Arid Cratons
Abstract
DESERTAS (Desert Emission Sensing & Energetic Rock-Tectonic Analysis System) introduces the first mathematically integrated, AI-driven geophysical framework for the systematic quantification of geogenic gas emissions from rock fissures in hyperarid environments — the Desert Rock-Gas Intelligence Score (DRGIS). Built on eight physically orthogonal parameters (ΔΦ_th, Ψ_crack, Rn_pulse, Ω_arid, Γ_geo, He_ratio, β_dust, S_yield), DESERTAS transforms the continuous geochemical breath of desert rock fractures into a quantitative diagnostic tool for pre-seismic hazard assessment. Validated against 2,491 Desert Rock-Gas Units (DRGUs) spanning 36 monitoring stations across 7 arid craton systems (Saharan, Arabian Shield, Kaapvaal, Yilgarn, Atacama-Pampean, Tarim Basin, Scandinavian Shield) over 22 years (2004–2026). Key results: - DRGIS Classification Accuracy: 90.6% - Pre-seismic Radon Detection Rate: 93.1% · False Alert Rate: 5.4% - Mean Pre-Seismic Lead Time: 58 days before M ≥ 4.0 events - Maximum Lead Time: 134 days (Saharan Shield, 2019) - Rn_pulse/DRGIS Correlation: r = +0.904 (p < 0.001, n = 2,491) - He_ratio Source Discrimination: 99.1% · depth ±800 m - β_dust Particulate Transport: detectable at 340 km downwind - AI Ensemble vs. single-parameter: +18.2% improvement Submitted to Nature Geoscience, March 2026. Code: https://gitlab.com/gitdeeper07/desertas Dashboard: https://desert-as.netlify.app PyPI: https://pypi.org/project/desertas/1.0.0/
Fields of Study & Subjects
Earthquake Detection and Analysis
Geochemistry and Geologic Mapping
Rock Mechanics and Modeling
Publication details
- Journal / source
- Nature Geoscience
- Publication date
- 1 March 2026
- Language
- EN