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基于多通道电极的电阻率层析成像法

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传统电阻率层析成像法(ERT)的探测精度已经无法满足工程建设中向着精细化不断发展的实际需求.为满足不断提升的分辨率需求,本文提出了一种基于多通道电极设计的ERT法(MERT),用多通道电极代替传统电极,通过测量不同通道间的电位差得到不同方向的视电阻率数据,进而提升ERT法的成像精度.构建的倾斜高阻异常体模型数值模拟结果表明,MERT可以更好地反应异常体的形态、倾斜方向与埋深,通道M2N2取得的正、反演效果最佳;模型分辨率矩阵分析结果表明,当供电点位埋深和电位采集点位间距分别在30%~90%和30%~60%电极间距时,MERT法的探测效果较好.对最佳参数时MERT法的不同埋深异常体的探测效果亦表明MERT法较之ERT法可以获得更丰富的、对深部区域有更高的分辨率的电位变化信息.MERT法的提出与完善,进一步拓展了ERT法的应用范围、提升了ERT法的探测精度,为近地表精细化探测的发展起到积极的推动作用.
Resistivity tomography based on multichannel electrodes
With the constantly changing engineering construction sector,the detection accuracy of conventional electrical resistivity tomography(ERT)is no longer sufficient.A multichannel electrode design(MERT)-based ERT is introduced in this paper to address the growing need for resolution.The imaging accuracy of the ERT method is improved through the collection of apparent resistivity data in various directions by measuring the potential difference between different channels.Numerical simulation results of the inclined high-resistivity anomaly model reveal that MERT is a precise representation of the shape,inclined direction,and buried depth of the anomaly,with thoroughfare M2N2 producing the most precise forward and inverse results.Based on the analysis results of the model resolution matrix,when the buried depth of power supply points and the gap between potential acquisition points are 30%-90%and 30%-60%of the electrode distance,respectively,the MERT approach yields superior detection outcomes.The detection effect of the MERT method on anomalous bodies with different burial depths under the optimal parameters also indicates that the MERT method can obtain richer potential change information with higher resolution in deep areas compared to the ERT method.With the implementation of the MERT approach,the scope of applications for ERT is expanded,the accuracy of ERT detection is increased,and the progress of near-surface fine detection is positively influenced.

Multichannel electrodeResistivity tomographyModel resolutionCR methodNumerical simulation

蒋甫玉、倪炯、陈海军、高丽坤、陈松、武现威、苏志强、雷垚、代明辉、韩润、于俊凯

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河海大学地球科学与工程学院,南京 211100

水利部交通运输部国家能源局南京水利科学研究院,南京 210029

江苏省地质矿产局第一地质大队,南京 210041

电阻率层析成像 模型分辨率 CR法 数值模拟

2024

应用地球物理(英文版)
中国地球物理学会

应用地球物理(英文版)

影响因子:1.01
ISSN:1672-7975
年,卷(期):2024.21(4)