Predural Depression Structures in the Arctic Urals Magnetic Field
We have investigated the morphology of the negative regional magnetic anomaly of Arctic Urals. This magnetic anomaly spatially coincides with structures of Predurals depression. In this paper we applied the method of construction 3-D surfaces using magnetic data. We suggest modified iterative local correction method for solving structure magnetic inverse problem. The 3D-magnetic model of the Arctic segment of the Earth crust has been constructed. The main elements of subsurface structure at southern latitudes are preserved.
KeywordsMagnetic data Depression Local correction method
The study is funded by the RAS Institute of Geophysics, UB RAS (project 18-5-5-23) and carried out in the Institute of Geophysics, UB RAS.
- Rybalka A.V. et.al. (2011) The deep structure of the Urals based on data of Polar-Urals transect, Regionalnaya geologiya I metellogeniya, Russia, pp 25–36.Google Scholar
- Shapiro V.A. et. al. (1993) The structure of the magnitoactive layer of the Northern Urals based on the geomagnetic data, Dokladi Akademii nauk, Geofizika, Russia, vol.330/issue 6, pp 771–777.Google Scholar
- Martyshko P.S. and Prutkin I.L. (2003) Method of separation of gravity field sources at depth, Geophys. Zh, (In Russian), pp 159–170.Google Scholar
- Prutkin I.L. (1986) The solution of three-dimensional gravimetric problem in the class of contact surfaces by the method of local correction, Physics of the Solid Earth, vol. 22, issue 1, pp 49–55.Google Scholar
- Martyshko P., Pyankov V., Rublev A. (2015a) Manifestation of the predurals depression structures in the magnetic field of the Arctic Urals // 15th International Multidisciplinary Scientific GeoConference SGEM 2015, Conference Proceedings, Albena. Bulgaria. Book1 Vol. 3, 887–894 pp. https://doi.org/10.5593/sgem2015/b13/s5.115.
- Martyshko P.S., Pyankov V.A., Rublev A.L. (2015b) The new technique of solving the inversemagnetic problem for Denezhkin Kamen dunite‐gabbro massif // XIVth International Conference – Geoinformatics: Theoretical and Applied Aspects. Kiev, Ukraine. https://doi.org/10.3997/2214-4609.201412427.