Inverse-forward method for heat flow estimation: case study for the Arctic region
The heat flow data are important in many aspects including interpretation of various geophysical observations, solutions of important engineering problems, modelling of the ice dynamics, and related environmental assessment. However, the distribution of the direct measurements is quite heterogeneous...
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| Format: | Article |
| Language: | English |
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Russian Academy of Sciences, The Geophysical Center
2022-12-01
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| Series: | Russian Journal of Earth Sciences |
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| Online Access: | http://doi.org/10.2205/2022ES000809 |
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| author | Petrunin Aleksey G. Soloviev Anatoly Sidorov Roman Gvishiani Alexei |
| author_facet | Petrunin Aleksey G. Soloviev Anatoly Sidorov Roman Gvishiani Alexei |
| author_sort | Petrunin Aleksey G. |
| collection | DOAJ |
| description | The heat flow data are important in many aspects including interpretation of various geophysical observations, solutions of important engineering problems, modelling of the ice dynamics, and related environmental assessment. However, the distribution of the direct measurements is quite heterogeneous over the Earth. Different methods have been developed during past decades to create continuous maps of the geothermal heat flow (GHF). Most of them are based on the principle of similarity of GHF values for the lithosphere with comparable age and tectonic history or inversion of magnetic field data. Probabilistic approach was also used to realize this principle. In this paper, we present a new method for extrapolating the GHF data, based on the inversion of a geophysical data set using optimization problem solution. We use the results of inversion of seismic and magnetic field data into temperature and data from direct heat flow measurements. We use the Arctic as the test area because it includes the lithosphere of different ages, types, and tectonic settings. In result, the knowledge of GHF is important here for various environmental problems. The resulting GHF map obtained well fits to the observed data and clearly reflects the lithospheric domains with different tectonic history and age. The new GHF map constructed in this paper reveals some significant features that were not identified earlier. In particular, these are the increased GHF zones in the Bering Strait, the Chukchi Sea and the residual GHF anomaly in the area of the Mid-Labrador Ridge. The latter was active during the Paleogene. |
| format | Article |
| id | doaj-art-128df85c39e749a0bd16e6cbe742d08e |
| institution | DOAJ |
| issn | 1681-1208 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Russian Academy of Sciences, The Geophysical Center |
| record_format | Article |
| series | Russian Journal of Earth Sciences |
| spelling | doaj-art-128df85c39e749a0bd16e6cbe742d08e2025-08-20T03:16:11ZengRussian Academy of Sciences, The Geophysical CenterRussian Journal of Earth Sciences1681-12082022-12-012261910.2205/2022ES000809Inverse-forward method for heat flow estimation: case study for the Arctic regionPetrunin Aleksey G.0Soloviev Anatoly1https://orcid.org/0000-0002-6476-9471Sidorov Roman2Gvishiani Alexei3https://orcid.org/0000-0002-4874-7475Geophysical Center of the Russian Academy of SciencesGeophysical Center RASGeophysical Center of the Russian Academy of SciencesGeophysical Center of the Russian Academy of SciencesThe heat flow data are important in many aspects including interpretation of various geophysical observations, solutions of important engineering problems, modelling of the ice dynamics, and related environmental assessment. However, the distribution of the direct measurements is quite heterogeneous over the Earth. Different methods have been developed during past decades to create continuous maps of the geothermal heat flow (GHF). Most of them are based on the principle of similarity of GHF values for the lithosphere with comparable age and tectonic history or inversion of magnetic field data. Probabilistic approach was also used to realize this principle. In this paper, we present a new method for extrapolating the GHF data, based on the inversion of a geophysical data set using optimization problem solution. We use the results of inversion of seismic and magnetic field data into temperature and data from direct heat flow measurements. We use the Arctic as the test area because it includes the lithosphere of different ages, types, and tectonic settings. In result, the knowledge of GHF is important here for various environmental problems. The resulting GHF map obtained well fits to the observed data and clearly reflects the lithospheric domains with different tectonic history and age. The new GHF map constructed in this paper reveals some significant features that were not identified earlier. In particular, these are the increased GHF zones in the Bering Strait, the Chukchi Sea and the residual GHF anomaly in the area of the Mid-Labrador Ridge. The latter was active during the Paleogene.http://doi.org/10.2205/2022ES000809geothermal heat flow Arctic inversion optimization lithosphere |
| spellingShingle | Petrunin Aleksey G. Soloviev Anatoly Sidorov Roman Gvishiani Alexei Inverse-forward method for heat flow estimation: case study for the Arctic region Russian Journal of Earth Sciences geothermal heat flow Arctic inversion optimization lithosphere |
| title | Inverse-forward method for heat flow estimation: case study for the Arctic region |
| title_full | Inverse-forward method for heat flow estimation: case study for the Arctic region |
| title_fullStr | Inverse-forward method for heat flow estimation: case study for the Arctic region |
| title_full_unstemmed | Inverse-forward method for heat flow estimation: case study for the Arctic region |
| title_short | Inverse-forward method for heat flow estimation: case study for the Arctic region |
| title_sort | inverse forward method for heat flow estimation case study for the arctic region |
| topic | geothermal heat flow Arctic inversion optimization lithosphere |
| url | http://doi.org/10.2205/2022ES000809 |
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