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Updated: Feb 8, 2026

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Published on: September 3, 2021
Nonlinear analysis of natural folds using wavelet transforms and recurrence plots
Alison Ord1,2, Bruce Hobbs3,4, Greg Dering3
1Centre for Exploration Targeting, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia alison.ord@uwa.edu.au.
Geological folds exhibit complex, nonlinear dynamics. Analyzing their multifractal geometry and recurrence quantification reveals patterns similar to periodic signals with chaotic elements, aiding in understanding fold formation.
Area of Science:
- Geology
- Geophysics
- Complex Systems
Background:
- Geological fold systems are complex natural phenomena.
- Understanding their formation processes requires advanced analytical techniques.
- Previous studies often simplified fold dynamics.
Purpose of the Study:
- To quantify natural geological fold systems using nonlinear dynamics.
- To identify the underlying processes responsible for fold formation.
- To compare natural fold signals with synthetic models.
Main Methods:
- Photogrammetry for 3D model creation.
- Wavelet transforms and wavelet transform modulus maxima for multifractal spectrum analysis.
- Recurrence Quantification Analysis (RQA) for recurrence quantification.
Main Results:
- Natural fold systems display multifractal geometry and recurrence patterns.
- Analysis revealed similarities to periodic signals with superimposed chaotic signals.
- These findings align with nonlinear dynamical theories of folding.
Conclusions:
- Geological folding can be effectively modeled as a nonlinear dynamical system.
- RQA provides insights into the mechanics of fold system formation.
- This approach enhances predictive capabilities in geological studies.
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