Evidence map›Paper›PMID 41309677›Full record

ArticleScientific reports2025

Identification of anomalous geological structures for iron mines using a multi-geophysical prospecting method: a case study of Songhu iron mine.

Junjie Ma, Zilin Gao, Pihong Zhang, Lei Shi, Jinglong Qu, Wenkai Gao, Shoudong Shi, Chunchi Ma

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Junjie MaCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, China.ORCID http://orcid.org/0000-0003-0429-0888
Zilin GaoCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, China.
Pihong ZhangXinjiang Baodi Mining Co., LTD, Urumqi, 830063, China.
Lei ShiXinjiang Baodi Mining Co., LTD, Urumqi, 830063, China.
Jinglong QuXinjiang Baodi Mining Co., LTD, Urumqi, 830063, China.
Wenkai GaoXinjiang Baodi Mining Co., LTD, Urumqi, 830063, China.
Shoudong ShiCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, China.
Chunchi MaCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, China. machunchi17@cdut.edu.cn.ORCID http://orcid.org/0000-0002-5852-8022

Funding

National Natural Science Foundation of China 42177173Science and Technology Program Funded Projects of Autonomous Region 2023B03011-2State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project SKLGP2024Z003
6 · The paper itself

Abstract

Identification of anomalous geological structures is crucial for ensuring safe and high-efficiency mining and preventing geological disasters in iron mines. This study proposes a multi-geophysical prospecting approach that integrates the Transient Electromagnetic Method (TEM) and True Reflection Tomography (TRT) technologies for advanced exploration of anomalous geological structures, taking the Songhu Iron Mine project as an example. Initially, four typical spatial combination patterns of anomalous geological structures were proposed at the Songhu Iron Mine. Then, the interpretation characteristics of TEM for faults and karst caves were summarized from seven underground engineering projects. The interpretation characteristics of TRT for the water-rich zone, water-bearing fractured zone, fault fracture zone, and iron ore vein boundary were summarized by four underground engineering projects. Moreover, a multi-geophysical prospecting workflow utilizing TEM and TRT was developed for advanced geological forecasting in transportation and cross-ore vein tunnels. Further, the interpretation characteristics of TEM and TRT for the above four typical anomalous geological structures were summarized. Finally, a case application of advanced geological forecasting in the Songhu Iron Mine demonstrates the effectiveness of the proposed geological forecasting method. This study provides a practical and effective framework for identifying anomalous geological structures in iron mines and similar mining projects.

Indexed as

Advanced geological forecastingAnomalous geological structuresIron mineMulti-geophysical prospectingTransient electromagnetic methodTrue reflection tomography

Identifiers

PMID41309677
PMCPMC12663279

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.