A New Moho Map for North-Eastern Eurasia Based on the Analysis of Various Geophysical Data

Kaban, Mikhail K.; Сидоров, Роман; Soloviev, Anatoly; Гвишиани, А. Д.; Petrunin, Alexey G.; Петров, О. В.; Kashubin, Sergey; Androsov, E. A.; Milshtein, E.D.

doi:10.1007/s00024-021-02925-6

Cited by 8 publications

(5 citation statements)

References 46 publications

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“…Within the Verkhoyansk orogeny area in its Arctic part the GHF values correlate with the Moho depth variations. The local minimum of 60 mW/m 2 corresponds to the Moho depths 28-30 km, according to the Moho map by [Kaban et al, 2022], and the local maximum about 90 mW/m 2 is associated with the Moho depths 40-45 km. The latter can be ex-plained by a thicker upper crust enriched in radiogenic elements that make a significant contribution to the surface heat flow.…”

Section: Resultsmentioning

confidence: 97%

“…. Petrunin et al, 2022 ments and the structure, tectonic type and age of the lithosphere. This method allows direct estimation of the GHF on the mid-ocean ridges, whereas most studies are based on the models of thermal evolution depending on the age of the lithosphere.…”

Section: Discussionmentioning

confidence: 99%

“…. Petrunin et al, 2022 an optimization problem by minimizing the difference between the result of solving the heat flow and the thermal equation and the observed GHF values. Furthermore, we apply this method to the Arctic zone.…”

Section: Introductionmentioning

confidence: 99%

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Inverse-forward method for heat flow estimation: case study for the Arctic region

Petrunin

Soloviev

Сидоров

et al. 2022

Russian Journal of Earth Sciences

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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.

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Section: Resultsmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

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Inverse-forward method for heat flow estimation: case study for the Arctic region

Petrunin

Soloviev

Сидоров

et al. 2022

Russian Journal of Earth Sciences

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“…In Models, Kaban et al ( 2022 ) present “A new Moho map for North-Eastern Eurasia based on the analysis of various geophysical data”. The key fields considered are residual gravity, topography and vertical gravity gradients from the Gravity Field and Steady-State Ocean Circulation Explorer (GOCE).…”

mentioning

confidence: 99%

“…Contained herein are articles on the models, methods, and case studies related to the Northwestern Pacific Region and adjacent territories. In particular -In Models, Kaban et al (2022) present ''A new Moho map for North-Eastern Eurasia based on the analysis of various geophysical data''. The key fields considered are residual gravity, topography and vertical gravity gradients from the Gravity Field and Steady-State Ocean Circulation Explorer (GOCE).…”

mentioning

confidence: 99%

Geophysical Studies of Geodynamics and Natural Hazards in the Northwestern Pacific Region: Introduction

Soloviev

Eichelberger

2022

Pure Appl. Geophys.

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The Global Crust and Mantle Gravity Disturbances and Their Implications on Mantle Structure and Dynamics

Chen,

Kaban,

Zhao

et al. 2023

Surv Geophys

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A New Moho Map for North-Eastern Eurasia Based on the Analysis of Various Geophysical Data

Cited by 8 publications

References 46 publications

Inverse-forward method for heat flow estimation: case study for the Arctic region

Inverse-forward method for heat flow estimation: case study for the Arctic region

Geophysical Studies of Geodynamics and Natural Hazards in the Northwestern Pacific Region: Introduction

The Global Crust and Mantle Gravity Disturbances and Their Implications on Mantle Structure and Dynamics

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