题名 | 3D Simulation of Semi-airborne Magnetometric Resistivity Data for the Monitoring of Water-rich Fracture Zones |
作者 | |
DOI | |
发表日期 | 2023
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会议名称 | 10th International Conference on Environmental and Engineering Geophysics, ICEEG 2023
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ISSN | 1742-6588
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EISSN | 1742-6596
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会议录名称 | |
卷号 | 2651
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会议日期 | June 7, 2023 - June 12, 2023
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会议地点 | Beijing, China
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出版者 | |
摘要 | Fracture zones, which are commonly saturated with water, pose significant risks during underground construction and the ongoing maintenance of infrastructure projects. Detecting such objects and monitoring their stability usually require surface geophysical methods over rough terrains that are slow and expensive, sometimes even impractical if the fracture zone is underwater. In this work, we propose using the semi-airborne magnetometric resistivity (SA-MMR) method to monitor the water content in the fracture zone rapidly. SA-MMR combines the advantages of efficiency from drone-borne geophysics and high data quality because of the measurements of a steady-state magnetic field by high-precision total-field magnetometers. We design our model based on an actual water gushing accident during the tunnel construction. The accident happened when the water from a reservoir above the route gushed into the tunnel through a weathered fault zone. In our synthetic survey, we utilize a set of electrodes that act as current sources, strategically placed along the strike of the fault; the total-field magnetometer, which is suspended 5 meters above the terrain using a drone that covers the entire survey area; two identical surveys are carried out before and after the fault's water content increases. Our 3D forward modeling indicates that despite the low-resistivity water layer above the fracture zone, the SA-MMR data anomaly can be as large as 16 nT for a 10 A source current. The magnitude of the detected anomaly in question surpasses the noise level of contemporary airborne total-field magnetometers by multiple orders of magnitude, and our study has shown that SA-MMR has great potentials in quickly and economically mapping the variation of water content in water-rich fracture zones. © Published under licence by IOP Publishing Ltd. |
学校署名 | 第一
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语种 | 英语
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收录类别 | |
EI入藏号 | 20240215357457
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EI主题词 | 3D modeling
; Accidents
; Drones
; Fracture
; Geophysics
; Object detection
; Reservoirs (water)
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EI分类号 | Reservoirs:441.2
; Geophysics:481.3
; Aircraft, General:652.1
; Data Processing and Image Processing:723.2
; Accidents and Accident Prevention:914.1
; Magnetic Instruments:942.3
; Materials Science:951
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来源库 | EV Compendex
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引用统计 | |
成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/706835 |
专题 | 理学院_地球与空间科学系 |
作者单位 | Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China |
第一作者单位 | 地球与空间科学系 |
第一作者的第一单位 | 地球与空间科学系 |
推荐引用方式 GB/T 7714 |
Chen, Zhongchang,Yang, Dikun. 3D Simulation of Semi-airborne Magnetometric Resistivity Data for the Monitoring of Water-rich Fracture Zones[C]:Institute of Physics,2023.
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条目包含的文件 | 条目无相关文件。 |
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