Machine Learning Reveals Attenuation-Related Envelope Features Across the Eastern Tibetan Plateau Margin from High-Frequency Coda Waves

Clicks: 4
ID: 321158
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #104 of 222 articles by views in geophysical journal international

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 222 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Summary High-frequency (> 1Hz) coda waves consist of multiply scattered seismic energy that follows direct body wave arrivals and exhibit high sensitivity to small-scale lithospheric heterogeneities and attenuation. The decay and shape of coda wave envelopes are mainly influenced by intrinsic attenuation, associated with irreversible energy loss due to anelastic processes, and scattering attenuation, resulting from wave redirection caused by heterogeneity. However, these two effects are strongly coupled in observations, making their separation challenging. Here, we apply a Conditional Variational Auto-Encoder (CVAE) to 28,393 high-frequency, vertical-component coda wave envelopes recorded across the eastern margin of the Tibetan Plateau. By conditioning the model on epicentral distance, the trained CVAE extracts two latent variables that characterize the dominant envelope-shape variations independent of the first-order distance effect. The first latent variable mainly modulates P/S amplitude ratio and post-peak decay behavior, showing trends qualitatively consistent with intrinsic attenuation effects. Its spatial distribution reveals lower values within the stable Sichuan Basin and high values across the tectonically active Tibetan Plateau side, consistent with previous attenuation studies. The second latent variable primarily controls envelope broadening and peak delay, consistent with scattering-related energy redistribution. Its spatial pattern suggests enhanced scattering-related broadening in the region affected by loose sedimentary cover in the basin and fault-related fracturing in the plateau. The synthetic data test further supports the qualitative interpretation of the latent variables, while also showing cross-sensitivities between them. These results indicate that the CVAE can extract attenuation-related envelope-shape features, rather than directly decoupling intrinsic and scattering attenuation parameters. Our findings demonstrate the potential of CVAE-based approaches for extracting physically interpretable attenuation-related patterns from large coda envelope datasets in tectonically complex regions.
Reference Key
openalex_W7168406325 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Junpeng Li, Baolong Zhang, Sidao Ni, Han Zhang, Jiao Yang
Journal geophysical journal international
Year 2026
DOI
10.1093/gji/ggag281
URL
https://doi.org/10.1093/gji/ggag281
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.