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

Seismic Moho depth is defined based on a significant seismic velocity change between the crust and the upper mantle. Receiver function studies provide the most reliable estimates of the Moho depth. However, they are limited to some profile strikes to the Zagros collision zone. Here, we present an au...

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Published in:	Pure and applied geophysics Vol. 180; no. 3; pp. 909 - 918
Main Authors:	Ardestani, Vahid E., Mousavi, Naeim
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.03.2023 Springer Nature B.V
Subjects:	Density Depth Earth and Environmental Science Earth Sciences Eclogite Geophysics/Geodesy Gravity data Isotopes Methods Modelling Moho S waves Seismic velocities Shear Tomography Upper mantle Wavelength Bouguer gravity anomalies Zagros collision zone Moho relief nonlinear inversion open-source resources
ISSN:	0033-4553, 1420-9136
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Abstract	Seismic Moho depth is defined based on a significant seismic velocity change between the crust and the upper mantle. Receiver function studies provide the most reliable estimates of the Moho depth. However, they are limited to some profile strikes to the Zagros collision zone. Here, we present an automated inverse methodology to provide a 3D Moho relief beneath the Zagros collision zone. We use gravity data in a vast square to compute the Moho depth model to refine an initial Moho depth model obtained from shear wave tomography. The depths, estimated by long wavelength shear wave tomography initially derived for the entire Middle East, are considered for the initial depth model. This initial model is refined by using a very popular and robust method for nonlinear inversion accessible through open-source resources in Python. Our modeling results indicate that only a 100 kg/m 3 density contrast between the crust and the upper mantle is sufficient to provide the Moho depth values comparable to receiver functions. This is interpreted as the high density and mafic affinity of the lower crust beneath the Zagros collision zone. It appears the lower crust returns to eclogite in the deep part. Alternatively, the cratonic core of the Zagros keel has a small density leading to only a 100 kg/m 3 density contrast between the lower crust and the uppermost lithospheric mantle. The depths obtained by our inversion methodology are compared and assessed to other studies in the area of Moho relief modeling.
AbstractList	Seismic Moho depth is defined based on a significant seismic velocity change between the crust and the upper mantle. Receiver function studies provide the most reliable estimates of the Moho depth. However, they are limited to some profile strikes to the Zagros collision zone. Here, we present an automated inverse methodology to provide a 3D Moho relief beneath the Zagros collision zone. We use gravity data in a vast square to compute the Moho depth model to refine an initial Moho depth model obtained from shear wave tomography. The depths, estimated by long wavelength shear wave tomography initially derived for the entire Middle East, are considered for the initial depth model. This initial model is refined by using a very popular and robust method for nonlinear inversion accessible through open-source resources in Python. Our modeling results indicate that only a 100 kg/m 3 density contrast between the crust and the upper mantle is sufficient to provide the Moho depth values comparable to receiver functions. This is interpreted as the high density and mafic affinity of the lower crust beneath the Zagros collision zone. It appears the lower crust returns to eclogite in the deep part. Alternatively, the cratonic core of the Zagros keel has a small density leading to only a 100 kg/m 3 density contrast between the lower crust and the uppermost lithospheric mantle. The depths obtained by our inversion methodology are compared and assessed to other studies in the area of Moho relief modeling. Seismic Moho depth is defined based on a significant seismic velocity change between the crust and the upper mantle. Receiver function studies provide the most reliable estimates of the Moho depth. However, they are limited to some profile strikes to the Zagros collision zone. Here, we present an automated inverse methodology to provide a 3D Moho relief beneath the Zagros collision zone. We use gravity data in a vast square to compute the Moho depth model to refine an initial Moho depth model obtained from shear wave tomography. The depths, estimated by long wavelength shear wave tomography initially derived for the entire Middle East, are considered for the initial depth model. This initial model is refined by using a very popular and robust method for nonlinear inversion accessible through open-source resources in Python. Our modeling results indicate that only a 100 kg/m3 density contrast between the crust and the upper mantle is sufficient to provide the Moho depth values comparable to receiver functions. This is interpreted as the high density and mafic affinity of the lower crust beneath the Zagros collision zone. It appears the lower crust returns to eclogite in the deep part. Alternatively, the cratonic core of the Zagros keel has a small density leading to only a 100 kg/m3 density contrast between the lower crust and the uppermost lithospheric mantle. The depths obtained by our inversion methodology are compared and assessed to other studies in the area of Moho relief modeling.
Author	Mousavi, Naeim Ardestani, Vahid E.
Author_xml	– sequence: 1 givenname: Vahid E. orcidid: 0000-0003-3936-201X surname: Ardestani fullname: Ardestani, Vahid E. email: ebrahimz@ut.ac.ir organization: Institute of Geophysics, University of Tehran, Center of Excellence in Survey Engineering and Disaster Management – sequence: 2 givenname: Naeim surname: Mousavi fullname: Mousavi, Naeim organization: Institute of Geophysics, University of Tehran
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Cites_doi	10.1093/gji/ggw292 10.1137/0111030 10.1190/1.1440444 10.1093/gji/ggaa026 10.1111/j.1365-246X.2011.05259.x 10.1190/1.1442774 10.1190/1.1439955 10.1016/j.gr.2014.04.009 10.1093/gji/ggz393 10.1007/978-3-319-16952-1_8 10.1190/1.1440645 10.1002/2013EO450001 10.1111/j.1365-3121.2004.00575.x 10.1007/s10712-020-09601-9 10.1029/TC005i003p00361 10.1111/j.1365-246X.2006.02920.x 10.1111/j.1365-246X.1960.tb00065.x 10.1016/j.tecto.2018.03.018 10.1016/j.epsl.2009.02.018 10.1190/1.1443968 10.1093/gji/ggaa262 10.1139/e81-019 10.1190/1.2821934 10.1190/1.3524286 10.1144/SP330.2 10.1016/j.jappgeo.2020.104156 10.1029/2012GC004435 10.1090/qam/10666 10.4401/ag-8054 10.1029/2011TC002934 10.1111/j.1365-246X.1973.tb06513.x 10.1190/geo2017-0678.1 10.1190/geo2014-0049 10.1016/0040-1951(94)90030-2 10.1016/0040-1951(94)00185-C 10.1093/gji/ggaa075 10.1016/j.gr.2023.02.011
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SubjectTerms	Density Depth Earth and Environmental Science Earth Sciences Eclogite Geophysics/Geodesy Gravity data Isotopes Methods Modelling Moho S waves Seismic velocities Shear Tomography Upper mantle Wavelength
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Title	The Moho Relief Beneath the Zagros Collision Zone Through Modeling of Ground-Based Gravity Data and Utilizing Open-Source Resources in Python
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