1887
Volume 73, Issue 4
  • E-ISSN: 1365-2478
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Abstract

Abstract

This study introduces the application of the 2D weighted compact gravity inversion technique to model crustal thickness and intracrustal discontinuities in the Aegean region, encompassing both marine and terrestrial areas over a significant area of 430 km × 333 km. The method utilized advanced spectral analysis and upward continuation techniques to enhance the quality of Bouguer data, effectively mitigating surface noise. The findings reveal a remarkable correlation (over 99.9%) between observed and theoretical data, demonstrating the algorithm's robustness in accurately delineating crustal features. Depth estimates for the Conrad (2.7 g/cm3) and Moho (3.3 g/cm3) discontinuities were obtained, highlighting distinct density variations across discontinuity zones. Furthermore, the relationship between intracrustal discontinuities and seismicity was examined, revealing that earthquakes predominantly follow the Conrad boundary. Notably, this study uniquely produces 2D depth contour maps of Conrad and Moho discontinuities from specific density derived from gravity inversion sections. The results indicate that this method is a valuable tool for understanding crustal dynamics, suggesting potential applications for future tectonic assessments, especially in regional studies. The successful application of this novel technique emphasizes its significance in advancing geophysical modelling and enhances our understanding of isostatic evaluation in the Aegean region for further studies.

© 2025 European Association of Geoscientists & Engineers. © 2025 The Author(s). Geophysical Prospecting published by John Wiley & Sons Ltd on behalf of European Association of Geoscientists & Engineers.
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2025-04-17
2026-02-08

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Evaluating the applicability of a 2D weighted compact gravity inversion method for determining crustal undulations and thicknesses in the Aegean region
Geophysical Prospecting 73, 1243 (2025); https://doi.org/10.1111/1365-2478.70001
/content/journals/10.1111/1365-2478.70001
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  • Article Type: Research Article
Keyword(s): gravity; imaging; inverse problem; inversion; parameter estimation

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