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<p>This study investigates the source mechanisms and moment tensor parameters of three local earthquakes in the Sharm El-Sheikh–Ras Nasrani region, northern Red Sea, through full-waveform Time Domain Moment Tensor (TDMT) inversion. Seismic waveform data recorded by the Egyptian National Seismic Network (ENSN) were analyzed using a suite of velocity models and source depth configurations to evaluate the robustness and reliability of the inversion procedure. Synthetic Green’s functions were computed for six distinct 1D Earth models to systematically quantify uncertainties arising from subsurface velocity heterogeneity. Optimal moment tensor solutions were identified based on maximum variance reduction and consistency across velocity models. The preferred solutions achieved variance reductions of up to 81.4%, with moment magnitudes ranging from Mw=4.3 to 5.2. The 2024 event exhibited a predominantly double-couple (DC) mechanism (up to 82%), whereas earlier events displayed notable isotropic (ISO) and compensated linear vector dipole (CLVD) components, indicating either complex rupture processes or heightened sensitivity to velocity model assumptions. Uncertainty quantification, performed using the bias-corrected and accelerated (BCa) bootstrap method, provided statistically robust confidence intervals for key source parameters. These results highlight the importance of velocity model selection and depth resolution in TDMT applications and offer a validated framework for seismic source characterization in tectonically complex and data-constrained environments. By integrating full-waveform inversion with rigorous statistical validation, this study provides a robust framework for addressing epistemic uncertainties in earthquake source analysis, enhancing the reliability of seismic hazard assessments in the northern Red Sea region.</p>

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Time-domain moment tensor inversion of moderate earthquakes in the northern red sea: Velocity model sensitivity and bootstrap uncertainty quantification

  • 期刊论文

  • 发表日期：

    2026年3月21日

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  • Mohamed A. Taha,
  • Sayed S. R. Moustafa,
  • Mohamed Metwaly,
  • Ahmad M. Faried

摘要

This study investigates the source mechanisms and moment tensor parameters of three local earthquakes in the Sharm El-Sheikh–Ras Nasrani region, northern Red Sea, through full-waveform Time Domain Moment Tensor (TDMT) inversion. Seismic waveform data recorded by the Egyptian National Seismic Network (ENSN) were analyzed using a suite of velocity models and source depth configurations to evaluate the robustness and reliability of the inversion procedure. Synthetic Green’s functions were computed for six distinct 1D Earth models to systematically quantify uncertainties arising from subsurface velocity heterogeneity. Optimal moment tensor solutions were identified based on maximum variance reduction and consistency across velocity models. The preferred solutions achieved variance reductions of up to 81.4%, with moment magnitudes ranging from Mw=4.3 to 5.2. The 2024 event exhibited a predominantly double-couple (DC) mechanism (up to 82%), whereas earlier events displayed notable isotropic (ISO) and compensated linear vector dipole (CLVD) components, indicating either complex rupture processes or heightened sensitivity to velocity model assumptions. Uncertainty quantification, performed using the bias-corrected and accelerated (BCa) bootstrap method, provided statistically robust confidence intervals for key source parameters. These results highlight the importance of velocity model selection and depth resolution in TDMT applications and offer a validated framework for seismic source characterization in tectonically complex and data-constrained environments. By integrating full-waveform inversion with rigorous statistical validation, this study provides a robust framework for addressing epistemic uncertainties in earthquake source analysis, enhancing the reliability of seismic hazard assessments in the northern Red Sea region.