2023
DOI: 10.1007/s00024-022-03221-7
|View full text |Cite
|
Sign up to set email alerts
|

The Moho Relief Beneath the Zagros Collision Zone Through Modeling of Ground-Based Gravity Data and Utilizing Open-Source Resources in Python

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2
1
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(7 citation statements)
references
References 37 publications
1
2
0
Order By: Relevance
“…Kaviani et al (2020) suggested the Moho depth through a Vs seismic tomography for the entire Middle-East area. In agreement with the Moho estimate by Kaviani et al (2020), the authors have recently reported a ~55-60 km thick crust beneath the high Zagros using the inversion of gravity data (Ardestani and Mousavi, 2022).…”
Section: Previous Studies On the Zagros Sedimentary Cover And Mohosupporting
confidence: 80%
See 2 more Smart Citations
“…Kaviani et al (2020) suggested the Moho depth through a Vs seismic tomography for the entire Middle-East area. In agreement with the Moho estimate by Kaviani et al (2020), the authors have recently reported a ~55-60 km thick crust beneath the high Zagros using the inversion of gravity data (Ardestani and Mousavi, 2022).…”
Section: Previous Studies On the Zagros Sedimentary Cover And Mohosupporting
confidence: 80%
“…Modeling gravity data to reveal the underground structure and geological features is very popular (Mousavi and Ebbing, 2018;Ardestani et al, 2021Ardestani and Mousavi, 2022).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The calculation of the Moho depth requires an initial depth interface, which is refined iteratively through the calculation using the Parker-Oldenburg algorithm (Gómez-Ortiz and Agarwal, 2005; Chen et al, 2021) or based on 3D gravity inversion using GROWTH 2.0 (Ashena et al, 2018). The initial depth interface use the average depth value of the causative body, which is derived from the spectral analysis or the 3D Euler deconvolution (Reid et al, 1990;Beiki, 2010;Golshadi et al, 2016;Parang et al, 2016) instead of using shear wave tomography (Ardestani and Mousavi, 2023). The spatial analysis of the Moho depth distribution is integrated with the findings from lineament analysis and 3D inversion to provide a comprehensive explanation of the tectonic settings within the study area.…”
Section: Methodsmentioning
confidence: 99%
“…The model parameters or physical properties in our study are correlated with the density contrast (ρ) and susceptibility (χ) distribution beneath the surface. Inverse modelling is also known as the fitting of the model function F[m] from a vector of m as the physical property to a set n number of data points (Grandis, 2009;Ardestani and Mousavi, 2023). The solution is approximated by using weighted least square errors between the data points with the predicted dataset.…”
Section: Gravity and Magnetic Inversionmentioning
confidence: 99%