Application and validation of the surface-to-underground transient electromagnetic method for detecting deep water-rich area affected by shallow aquifers: a case study of the Ningdong mining area

Water-rich area present underground in coal mines pose a serious threat to the safety of coal mining operations. Electrical methods are commonly used for the detection of subsurface water-rich area, but the presence of shallow aquifers can significantly affect the accuracy of deep water-rich zone detection. In this study, surface-to-underground transient electromagnetic (SUTEM) technology and the finite-difference time-domain (FDTD) method was employed to investigate the detection of deep water-rich areas under the low-resistivity shielding of shallow aquifers. On the basis of the theoretical analysis, numerical simulation, and practical application results, it was concluded that variations in the thickness and depth of shallow aquifers have a certain effect on the transient electromagnetic (TEM) response. Compared with surface TEM, SUTEM can obtain more geological information about deep water-rich area when affected by shallow aquifers, allowing for a more accurate delineation of low-resistivity anomaly area. Therefore, SUTEM can serve as a method for the detection of deep water-rich area in coal mines under similar geological conditions.

Authors

Institutions

Publication Details

Journal
Frontiers in Earth Science
Published
2025-04-07
DOI
https://doi.org/10.3389/feart.2025.1539504
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

Application and validation of the surface-to-underground transient electromagnetic method for detecting deep water-rich area affected by shallow aquifers: a case study of the Ningdong mining area

Zhihai Jiang, Zhihui Dou, Maofei Li, Juan Yu et al.
Frontiers in Earth Science
Geophysical and Geoelectrical Methods
article

Application and validation of the surface-to-underground transient electromagnetic method for detecting deep water-rich area affected by shallow aquifers: a case study of the Ningdong mining area

Zhihai Jiang, Zhihui Dou, Maofei Li, Juan Yu, Liying Xiao
article en

Abstract

Water-rich area present underground in coal mines pose a serious threat to the safety of coal mining operations. Electrical methods are commonly used for the detection of subsurface water-rich area, but the presence of shallow aquifers can significantly affect the accuracy of deep water-rich zone detection. In this study, surface-to-underground transient electromagnetic (SUTEM) technology and the finite-difference time-domain (FDTD) method was employed to investigate the detection of deep water-rich areas under the low-resistivity shielding of shallow aquifers. On the basis of the theoretical analysis, numerical simulation, and practical application results, it was concluded that variations in the thickness and depth of shallow aquifers have a certain effect on the transient electromagnetic (TEM) response. Compared with surface TEM, SUTEM can obtain more geological information about deep water-rich area when affected by shallow aquifers, allowing for a more accurate delineation of low-resistivity anomaly area. Therefore, SUTEM can serve as a method for the detection of deep water-rich area in coal mines under similar geological conditions.

Frontiers in Earth ScienceVol. 13
China University of Mining and Technology (CN), Ministry of Housing and Urban-Rural Development (CN)
Openalex Percentile: Top 90%
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.