A High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination Methods
The high-resolution Moho depth model is required in various geophysical studies. However, the available models’ resolutions could be improved for this purpose. Large parts of the world still need to be sufficiently covered by seismic data, but existing global Moho models do not fit the present-day r...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/6/1562 |
| _version_ | 1827747811911794688 |
|---|---|
| author | Arash Dashtbazi Behzad Voosoghi Mohammad Bagherbandi Robert Tenzer |
| author_facet | Arash Dashtbazi Behzad Voosoghi Mohammad Bagherbandi Robert Tenzer |
| author_sort | Arash Dashtbazi |
| collection | DOAJ |
| description | The high-resolution Moho depth model is required in various geophysical studies. However, the available models’ resolutions could be improved for this purpose. Large parts of the world still need to be sufficiently covered by seismic data, but existing global Moho models do not fit the present-day requirements for accuracy and resolution. The isostatic models can relatively reproduce a Moho geometry in regions where the crustal structure is in an isostatic equilibrium, but large segments of the tectonic plates are not isostatically compensated, especially along active convergent and divergent tectonic margins. Isostatic models require a relatively good knowledge of the crustal density to correct observed gravity data. To overcome the lack of seismic data and non-uniqueness of gravity inversion, seismic and gravity data should be combined to estimate Moho geometry more accurately. In this study, we investigate the performance of two techniques for combining long- and short-wavelength Moho geometry from seismic and gravity data. Our results demonstrate that both Butterworth and spectral combination techniques can be used to model the Moho geometry. The results show the RMS of Moho depth differences between our model and the reference models are between 1.7 and 4.7 km for the Butterworth filter and between 0.4 and 4.1 km for the spectral combination. |
| first_indexed | 2024-03-11T05:57:31Z |
| format | Article |
| id | doaj.art-b4f2e07ddd7743a8b60c3f9905c5b7c7 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T05:57:31Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b4f2e07ddd7743a8b60c3f9905c5b7c72023-11-17T13:38:49ZengMDPI AGRemote Sensing2072-42922023-03-01156156210.3390/rs15061562A High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination MethodsArash Dashtbazi0Behzad Voosoghi1Mohammad Bagherbandi2Robert Tenzer3Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, IranFaculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, IranDivision of Surveying-Geodesy, Land Law and Real Estate Planning, Royal Institute of Technology (KTH), SE-10044 Stockholm, SwedenDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong KongThe high-resolution Moho depth model is required in various geophysical studies. However, the available models’ resolutions could be improved for this purpose. Large parts of the world still need to be sufficiently covered by seismic data, but existing global Moho models do not fit the present-day requirements for accuracy and resolution. The isostatic models can relatively reproduce a Moho geometry in regions where the crustal structure is in an isostatic equilibrium, but large segments of the tectonic plates are not isostatically compensated, especially along active convergent and divergent tectonic margins. Isostatic models require a relatively good knowledge of the crustal density to correct observed gravity data. To overcome the lack of seismic data and non-uniqueness of gravity inversion, seismic and gravity data should be combined to estimate Moho geometry more accurately. In this study, we investigate the performance of two techniques for combining long- and short-wavelength Moho geometry from seismic and gravity data. Our results demonstrate that both Butterworth and spectral combination techniques can be used to model the Moho geometry. The results show the RMS of Moho depth differences between our model and the reference models are between 1.7 and 4.7 km for the Butterworth filter and between 0.4 and 4.1 km for the spectral combination.https://www.mdpi.com/2072-4292/15/6/1562Moho depthglobal Moho modelcrustisostasyseismic dataspectral combination |
| spellingShingle | Arash Dashtbazi Behzad Voosoghi Mohammad Bagherbandi Robert Tenzer A High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination Methods Remote Sensing Moho depth global Moho model crust isostasy seismic data spectral combination |
| title | A High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination Methods |
| title_full | A High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination Methods |
| title_fullStr | A High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination Methods |
| title_full_unstemmed | A High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination Methods |
| title_short | A High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination Methods |
| title_sort | high resolution global moho model from combining gravimetric and seismic data by using spectral combination methods |
| topic | Moho depth global Moho model crust isostasy seismic data spectral combination |
| url | https://www.mdpi.com/2072-4292/15/6/1562 |
| work_keys_str_mv | AT arashdashtbazi ahighresolutionglobalmohomodelfromcombininggravimetricandseismicdatabyusingspectralcombinationmethods AT behzadvoosoghi ahighresolutionglobalmohomodelfromcombininggravimetricandseismicdatabyusingspectralcombinationmethods AT mohammadbagherbandi ahighresolutionglobalmohomodelfromcombininggravimetricandseismicdatabyusingspectralcombinationmethods AT roberttenzer ahighresolutionglobalmohomodelfromcombininggravimetricandseismicdatabyusingspectralcombinationmethods AT arashdashtbazi highresolutionglobalmohomodelfromcombininggravimetricandseismicdatabyusingspectralcombinationmethods AT behzadvoosoghi highresolutionglobalmohomodelfromcombininggravimetricandseismicdatabyusingspectralcombinationmethods AT mohammadbagherbandi highresolutionglobalmohomodelfromcombininggravimetricandseismicdatabyusingspectralcombinationmethods AT roberttenzer highresolutionglobalmohomodelfromcombininggravimetricandseismicdatabyusingspectralcombinationmethods |