Global Seismic Fractal Analysis War Room PRO
Description
Global Seismic Fractal Analysis War Room PRO v4.2.5 release is a web-based, real-time seismic monitoring application designed to detect precursor anomalies using non-linear dynamics and statistical physics. Developed using HTML5, JavaScript (incorporating D3.js, Three.js, and Globe.gl), and the USGS Earthquake Catalog API, this software provides a 3D visualization of global seismic activities and performs advanced time-series analysis.
Key Features and Algorithms:
Multi-Parameter Fractal Analysis: The system computes five critical seismic parameters in real-time: Gutenberg-Richter b-value, Capacity Dimension ($D_0$), Temporal Fractal Dimension ($D_t$), Hurst Exponent ($H$), and Multifractal Spectrum Width ($\Delta\alpha$ via MFDFA).
Z-Score Anomaly Detection: Utilizes a robust statistical engine to calculate Z-scores for 3-day and 7-day moving windows against a 150-day baseline distribution, identifying significant deviations ($|Z| > 1.5$) in seismic entropy and clustering.
Sync Guard Mechanism: Introduces a novel "Sync Lock" algorithm that monitors the coherence of parameter trends. It detects system instability by analyzing the synchronization score ($S$) and directional trends of parameter derivatives ($\Delta Z$), aiming to identify pre-seismic "locking" phases and post-seismic stress releases.
Zone-Specific Monitoring: Supports analysis for customizable tectonic regions, including Global, Ryukyu/Taiwan/Philippines, Japan/Kuril, Indo-Sunda Arc, and Americas Subduction zones.
Interactive Visualization: Features a high-performance 3D globe interface with dynamic filtering, alert level indicators (Low to High), and exportable trend charts (PNG/CSV) for further research.
Keywords (關鍵字)
Seismic Precursor, Fractal Analysis, Earthquake Monitoring, Z-Score, MFDFA, Hurst Exponent, b-value, Time Series Analysis, Non-linear Dynamics, USGS API, WebGL, Visualization
Files
Files
(1.1 MB)
| Name | Size | Download all |
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md5:f15471dd2fb9e9991545e89397ce8a54
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1.1 MB | Download |
Additional details
Dates
- Accepted
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2026-01-18