Crustal Magnetic Structure of the Ulaanbaatar Region, Mongolia, Revealed by 3-D Magnetic Inversion and Spectral Analysis

Ground magnetic data were used to investigate crustal magnetic structure beneath the Ulaanbaatar region of central Mongolia. Residual total-field anomalies were analyzed using reduction to the pole, magnetic derivatives, spectral source-depth estimation, and three-dimensional susceptibility inversion. The magnetic field is characterized by short-wavelength anomalies in the south and southeast and broader magnetic domains toward the north. Spectral analysis produces characteristic source-top depths of approximately 3–5 km, centroid depths of 7–10 km, and derived basal depths of about 10–15 km; these values are interpreted as statistical source-depth parameters rather than Curie-point depths. The three-dimensional inversion reproduces the observations with an RMS residual of 2.59 nT and resolves numerous localized upper-crustal susceptibility bodies that merge into fewer, broader domains with depth. Several magnetic boundaries extend beyond mapped lithological contacts and coincide spatially with major structures. In particular, the Avdar and Sharkhai faults are preferentially associated with susceptibility gradients and magnetic-domain boundaries, consistent with reactivation of pre-existing crustal heterogeneity. These results define a three-dimensional magnetic framework for the faulted and repeatedly intruded crust beneath Ulaanbaatar.

Authors

Publication Details

Journal
Geosciences
Published
2026-11-04
DOI
https://doi.org/10.3390/geosciences16110458
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Crustal Magnetic Structure of the Ulaanbaatar Region, Mongolia, Revealed by 3-D Magnetic Inversion and Spectral Analysis

Shoovdor Tserendug, Odonbaatar Chimed, Erdenechimeg Batmagnai, Bayanjargal Gendenpunsag
Geosciences
Geophysical and Geoelectrical Methods
article

Crustal Magnetic Structure of the Ulaanbaatar Region, Mongolia, Revealed by 3-D Magnetic Inversion and Spectral Analysis

Shoovdor Tserendug, Odonbaatar Chimed, Erdenechimeg Batmagnai, Bayanjargal Gendenpunsag
article en

Abstract

Ground magnetic data were used to investigate crustal magnetic structure beneath the Ulaanbaatar region of central Mongolia. Residual total-field anomalies were analyzed using reduction to the pole, magnetic derivatives, spectral source-depth estimation, and three-dimensional susceptibility inversion. The magnetic field is characterized by short-wavelength anomalies in the south and southeast and broader magnetic domains toward the north. Spectral analysis produces characteristic source-top depths of approximately 3–5 km, centroid depths of 7–10 km, and derived basal depths of about 10–15 km; these values are interpreted as statistical source-depth parameters rather than Curie-point depths. The three-dimensional inversion reproduces the observations with an RMS residual of 2.59 nT and resolves numerous localized upper-crustal susceptibility bodies that merge into fewer, broader domains with depth. Several magnetic boundaries extend beyond mapped lithological contacts and coincide spatially with major structures. In particular, the Avdar and Sharkhai faults are preferentially associated with susceptibility gradients and magnetic-domain boundaries, consistent with reactivation of pre-existing crustal heterogeneity. These results define a three-dimensional magnetic framework for the faulted and repeatedly intruded crust beneath Ulaanbaatar.

GeosciencesVol. 16(11)
Openalex Percentile: Top 39%
Geophysical and Geoelectrical Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon