Impact of velocity model on Moho depth: Insights from receiver function migration in intraplate Gujarat region, India.

  • Published In: Journal of Earth System Science, 2025, v. 134, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Srinu, Uppala; Padma Rao, B; Srijayanthi, G; Kumar, Santosh; Chopra, Sumer 3 of 3

Abstract

Understanding Moho characteristics in the Gujarat region is crucial due to its complex geology and tectonic processes in this seismically active intraplate region. This study aims to delineate the Moho depth and examine the impact of various velocity models on it by analyzing seismic data from 58 stations. We utilized the P receiver function migration and H–k stacking techniques with global 1D (IASP91), global 3D (Crust1.0), and local 3D velocity models. Our findings reveal the variations across the entire region; the crustal thickness ranged from 32 to 44.98 km using IASP91, 32.02 to 42.88 km using Crust1.0, and 32 to 41.92 km using the local 3D velocity model. The observed variations in Poisson's ratio ranging from 0.15 to 0.35 indicate heterogeneity in the composition of the crust. A detailed analysis of the impact of the velocity model on Moho depth reveals that when comparing the Crust1.0 model with the IASP91 model, a 3.60% change in Vp results in a 3.18% change in Moho depth. Similarly, comparing the local 3D velocity model with the IASP91 model indicates a 3.05% change in Vp leads to a 3.03% change in Moho depth. These results indicate that the change in Vp affects the Moho depth estimations, suggesting the necessity of a high-resolution velocity model to accurately determine the Moho depths. Our findings underscore the robustness of these conclusions and highlight the need for deeper exploration into the geological and tectonic factors influencing crustal properties in the study area. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Earth System Science. 2025/06, Vol. 134, Issue 2, p1
  • Document Type:Article
  • Subject Area:Geology
  • Publication Date:2025
  • ISSN:0253-4126
  • DOI:10.1007/s12040-025-02536-y
  • Accession Number:184599041
  • Copyright Statement:Copyright of Journal of Earth System Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.