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在中国雷台遗址使用电阻率技术(ERT和SP)对渗流通道进行无损检测。

Using electrical resistivity techniques (ERT and SP) for nondestructive detection of seepage channels at the Leitai heritage site, China.

作者信息

Lu Kai, Li Kaitian, Li Fan, Li Zhenyu, Wang Peng

机构信息

College of Geology and Environment Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, China.

School of Geophysics and Geomatics, China University of Geosciences, Wuhan, 430074, China.

出版信息

Sci Rep. 2025 Jan 6;15(1):904. doi: 10.1038/s41598-025-85368-6.

DOI:10.1038/s41598-025-85368-6
PMID:39762480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11704211/
Abstract

Seepage accelerates the weathering and destruction of cultural heritage sites, posing a major preservation challenge, while the concealed nature of seepage channels complicates their detection due to noninvasive requirements. In this study, we applied a comprehensive geophysical approach, integrating electrical resistivity tomography (ERT) and self-potential (SP) techniques, to image seepage channels within the Leitai heritage site. These potential seepage channels have already caused a collapse pit measuring 3.1 m × 2.7 m on the site's surface. We began with 2D ERT surveys, which were then combined for 3D inversion to reveal the resistivity structure of the site. Subsequently, SP data were extracted along typical survey lines using interpolation algorithms, and these were inverted to supplement and verify the resistivity structure. The results from both techniques were highly consistent, indicating the presence of internal channels within the site. This comprehensive geophysical approach provides critical insights and references for the subsequent restoration efforts of the Leitai heritage site, ensuring the protection and preservation of this culturally significant landmark. Moreover, the method proposed in this study can be easily applied to the preservation of similar cultural heritage sites elsewhere.

摘要

渗水加速了文化遗产地的风化和破坏,构成了重大的保护挑战,而渗流通道的隐蔽性因非侵入性要求使其探测变得复杂。在本研究中,我们应用了一种综合地球物理方法,将电阻率层析成像(ERT)和自然电位(SP)技术相结合,以成像雷台遗址内的渗流通道。这些潜在的渗流通道已经在遗址表面造成了一个3.1米×2.7米的坍塌坑。我们首先进行了二维ERT测量,然后将其组合进行三维反演,以揭示遗址的电阻率结构。随后,利用插值算法沿典型测量线提取SP数据,并对其进行反演以补充和验证电阻率结构。两种技术的结果高度一致,表明遗址内部存在通道。这种综合地球物理方法为雷台遗址的后续修复工作提供了关键的见解和参考,确保了对这一具有文化意义的地标性建筑的保护。此外,本研究中提出的方法可以很容易地应用于其他类似文化遗产地的保护。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/3f7773e055f6/41598_2025_85368_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/2d0406d5b0a7/41598_2025_85368_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/dd3df7c8bed5/41598_2025_85368_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/515a9104b3e3/41598_2025_85368_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/784486b87167/41598_2025_85368_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/fc799ed5df63/41598_2025_85368_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/0edff12ca660/41598_2025_85368_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/9dfdf35deba1/41598_2025_85368_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/3f7773e055f6/41598_2025_85368_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/2d0406d5b0a7/41598_2025_85368_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/dd3df7c8bed5/41598_2025_85368_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/515a9104b3e3/41598_2025_85368_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/784486b87167/41598_2025_85368_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/fc799ed5df63/41598_2025_85368_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/0edff12ca660/41598_2025_85368_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/9dfdf35deba1/41598_2025_85368_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0e/11704211/3f7773e055f6/41598_2025_85368_Fig8_HTML.jpg

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本文引用的文献

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2
A fast imaging method for the interpretation of self-potential data with application to geothermal systems and mineral investigation.一种用于解释自然电位数据的快速成像方法及其在地热系统和矿产勘查中的应用。
Sci Rep. 2023 Aug 20;13(1):13548. doi: 10.1038/s41598-023-39672-8.
3
Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco).
基于Python的BERT软件在利用电阻层析成像数据集进行滑坡监测中的贡献。以摩洛哥的Tghat-Fez为例。
Data Brief. 2022 Nov 20;46:108763. doi: 10.1016/j.dib.2022.108763. eCollection 2023 Feb.