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Least squares collocation method in Moho depth determination in Iran using gravity gradient data.
Hadi Heydarizadeh Shali1, Carlo Iapige De Gaetani2, Riccardo Barzaghi2
1Center for Earthquake Research and Information, University of Memphis, Memphis, TN, USA.
Heliyon
|February 6, 2024
Summary
This study maps the Mohorovičić discontinuity depth using gravity data and Least Squares Collocation (LSC). The method accurately estimates Moho depth variations across the Iranian Plateau, validating against seismic data.
Area of Science:
- Geophysics
- Earth Sciences
- Gravimetry
Background:
- The Mohorovičić discontinuity (Moho) depth is crucial for understanding Earth's crustal structure.
- Previous methods for Moho depth estimation have limitations in spatial resolution and accuracy.
Purpose of the Study:
- To develop and apply a novel approach for mapping the spatial variability of the Mohorovičić discontinuity depth.
- To estimate Moho depth in the Iranian Plateau using gravity data and the Least Squares Collocation (LSC) method.
Main Methods:
- Utilizing gravity observations and the Least Squares Collocation (LSC) method.
- Employing a spherical two-layer isostatic model with Helmert condensation.
- Estimating Moho depth from GOCO06S gravity data, reduced by topography, bathymetry, and sediment effects (GEBCO2021, CRUST1.0).
Main Results:
- Successfully estimated Moho depth across the Iranian Plateau.
- Achieved a standard deviation of 3 km when matching with seismic Moho depths.
- Identified areas of greater discrepancies, particularly in the Zagros chain and along the Caspian coastline.
Conclusions:
- The developed LSC approach provides a reliable method for mapping Moho depth spatial variability.
- The results offer valuable insights into the crustal structure of the Iranian Plateau.
- The method's accuracy is validated by its coherence with seismic benchmark values.
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