A Novel Approach for Bathymetry Estimation through Bayesian Gravity Inversion
The bathymetry is the most superficial layer of the Earth’s crust on which it is possible to perform direct measurements. However, it is also well known that water covers more than 70% of the Earth’s surface, so an enormous expenditure of acquisition campaigns should be performed to produce a high-r...
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| Vydáno v: | Geosciences (Basel) Ročník 13; číslo 8; s. 223 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Basel
MDPI AG
01.08.2023
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| ISSN: | 2076-3263, 2076-3263 |
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| Abstract | The bathymetry is the most superficial layer of the Earth’s crust on which it is possible to perform direct measurements. However, it is also well known that water covers more than 70% of the Earth’s surface, so an enormous expenditure of acquisition campaigns should be performed to produce a high-resolution map of this layer. Currently exploiting mainly commercial navigation routes, the sea floor coverage with shipborne sounding is only at 11%, and the remaining part is currently modeled by classical interpolation techniques or satellite-based gravity inversion methods. In the present work, a new method to refine bathymetry modeling based on the exploitation of global gravity field models is presented. In the proposed solution, once modeled and removed from the observed gravity field, the gravitational signals related to the deepest structures, a 3D Bayesian inversion algorithm is used to improve the actual knowledge of bathymetry. The proposed inversion method also enables limiting the solution to shipborne sounding measurements in such a way as to improve the seafloor grid where no local, high-quality information is available. Two test cases are discussed in the Mediterranean Sea region. Promising results are presented, opening the possibility of applying an analogous method to refine the bathymetry modeling at larger scales up to the global one. |
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| AbstractList | The bathymetry is the most superficial layer of the Earth’s crust on which it is possible to perform direct measurements. However, it is also well known that water covers more than 70% of the Earth’s surface, so an enormous expenditure of acquisition campaigns should be performed to produce a high-resolution map of this layer. Currently exploiting mainly commercial navigation routes, the sea floor coverage with shipborne sounding is only at 11%, and the remaining part is currently modeled by classical interpolation techniques or satellite-based gravity inversion methods. In the present work, a new method to refine bathymetry modeling based on the exploitation of global gravity field models is presented. In the proposed solution, once modeled and removed from the observed gravity field, the gravitational signals related to the deepest structures, a 3D Bayesian inversion algorithm is used to improve the actual knowledge of bathymetry. The proposed inversion method also enables limiting the solution to shipborne sounding measurements in such a way as to improve the seafloor grid where no local, high-quality information is available. Two test cases are discussed in the Mediterranean Sea region. Promising results are presented, opening the possibility of applying an analogous method to refine the bathymetry modeling at larger scales up to the global one. |
| Audience | Academic |
| Author | Capponi, Martina Sampietro, Daniele |
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| Cites_doi | 10.1029/94JB00988 10.1029/2019EA000658 10.3390/geosciences9080351 10.1093/gji/ggab094 10.5194/essd-11-647-2019 10.1111/1365-2478.13305 10.3390/geosciences12100382 10.1007/978-3-030-74353-6 10.1007/s00190-020-01398-0 10.3390/geosciences11110467 10.1007/s00190-016-0981-y 10.1029/2018JB016593 10.1126/science.277.5334.1956 10.1038/s41598-023-35282-6 |
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| References | Ince (ref_21) 2019; 11 Zingerle (ref_14) 2020; 94 ref_13 ref_12 Sampietro (ref_15) 2023; 13 Smith (ref_4) 1994; 99 ref_10 Fullea (ref_19) 2021; 226 ref_20 Sampietro (ref_11) 2017; 91 ref_16 Smith (ref_2) 1997; 277 Sampietro (ref_3) 2023; 71 ref_9 ref_8 Tozer (ref_1) 2019; 6 ref_5 Reguzzoni (ref_17) 2015; 35 ref_7 ref_6 Szwillus (ref_18) 2019; 124 |
| References_xml | – volume: 99 start-page: 21 year: 1994 ident: ref_4 article-title: Bathymetric prediction from dense altimetry and sparse shipboard bathymetry publication-title: J. Geophys. Res. doi: 10.1029/94JB00988 – volume: 6 start-page: 1847 year: 2019 ident: ref_1 article-title: Global bathymetry and topography at 15 arc sec: SRTM15+ publication-title: Earth Space Sci. doi: 10.1029/2019EA000658 – ident: ref_6 – ident: ref_9 doi: 10.3390/geosciences9080351 – volume: 226 start-page: 146 year: 2021 ident: ref_19 article-title: WINTERC-G: Mapping the upper mantle thermochemical heterogeneity from coupled geophysical–petrological inversion of seismic waveforms, heat flow, surface elevation and gravity satellite data publication-title: Geophys. J. Int. doi: 10.1093/gji/ggab094 – volume: 11 start-page: 647 year: 2019 ident: ref_21 article-title: ICGEM—15 years of successful collection and distribution of global gravitational models, associated services, and future plans publication-title: Earth Syst. Sci. Data doi: 10.5194/essd-11-647-2019 – volume: 71 start-page: 350 year: 2023 ident: ref_3 article-title: An empirical method for the optimal setting of the potential fields inverse problem publication-title: Geophys. Prospect. doi: 10.1111/1365-2478.13305 – ident: ref_8 doi: 10.3390/geosciences12100382 – ident: ref_5 doi: 10.1007/978-3-030-74353-6 – ident: ref_12 – ident: ref_10 – volume: 94 start-page: 66 year: 2020 ident: ref_14 article-title: The combined global gravity field model XGM2019e publication-title: J. Geod. doi: 10.1007/s00190-020-01398-0 – ident: ref_7 doi: 10.3390/geosciences11110467 – volume: 91 start-page: 535 year: 2017 ident: ref_11 article-title: Space-Wise approach for airborne gravity data modelling publication-title: J. Geod. doi: 10.1007/s00190-016-0981-y – volume: 124 start-page: 1626 year: 2019 ident: ref_18 article-title: Global crustal thickness and velocity structure from geostatistical analysis of seismic data publication-title: J. Geophys. Res. Solid Earth doi: 10.1029/2018JB016593 – ident: ref_16 – volume: 35 start-page: 31 year: 2015 ident: ref_17 article-title: GEMMA: An Earth crustal model based on GOCE satellite data publication-title: Int. J. Appl. Earth Obs. Geoinf. – ident: ref_13 – volume: 277 start-page: 1956 year: 1997 ident: ref_2 article-title: Global sea floor topography from satellite altimetry and ship depth soundings publication-title: Science doi: 10.1126/science.277.5334.1956 – volume: 13 start-page: 8298 year: 2023 ident: ref_15 article-title: An enhanced view on the Mediterranean Sea crust from potential fields data publication-title: Sci. Rep. doi: 10.1038/s41598-023-35282-6 – ident: ref_20 |
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| SubjectTerms | Algorithms Approximation Bathymeters Bathymetric maps Bathymetry Bayesian analysis Bayesian inversion Bayesian theory Earth crust Earth science Earth surface Exploitation Gravitational fields gravity Gravity field Interpolation Interpolation techniques Mathematical models Modelling Navigation Ocean bottom Ocean floor Probability distribution Probability theory Satellite imaging Sediments Sounding Topography |
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| Title | A Novel Approach for Bathymetry Estimation through Bayesian Gravity Inversion |
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