孙佳易,邓昌,汤雷,等. 三维重构反演的土石坝渗漏通道精确识别技术[J]. 水利水运工程学报,2024(4):71-79.. DOI: 10.12170/20231017001
引用本文: 孙佳易,邓昌,汤雷,等. 三维重构反演的土石坝渗漏通道精确识别技术[J]. 水利水运工程学报,2024(4):71-79.. DOI: 10.12170/20231017001
(SUN Jiayi, DENG Chang, TANG Lei, et al. Accurate identification technology for leakage channels in earth-rock dams through three-dimensional reconstruction and inversion[J]. Hydro-Science and Engineering, 2024(4): 71-79. (in Chinese)). DOI: 10.12170/20231017001
Citation: (SUN Jiayi, DENG Chang, TANG Lei, et al. Accurate identification technology for leakage channels in earth-rock dams through three-dimensional reconstruction and inversion[J]. Hydro-Science and Engineering, 2024(4): 71-79. (in Chinese)). DOI: 10.12170/20231017001

三维重构反演的土石坝渗漏通道精确识别技术

Accurate identification technology for leakage channels in earth-rock dams through three-dimensional reconstruction and inversion

  • 摘要: 高密度电法是探测土石坝渗漏的主要方法,但对渗漏范围边缘的识别较为模糊,无法分辨低阻识别成因。为了弥补该局限性,提出一种三维重构反演(3D-reconstruction inversion)的渗漏通道精确识别方法:首先布设多条正交于可能存在渗漏通道的2D平行测线并进行高密度电法反演,将反演图简化处理后置于三维模型剖面中,然后利用多条测线探测的低阻区高程推算出浸润线,综合分析确定渗漏位置。结果表明:该方法可以精确检测渗漏位置,确定导致反演中低阻识别的原因,可更加直观地观测渗漏通道走向,有效减少因正常渗流导致的低阻识别误差。

     

    Abstract: High-density electrical method is the main technology for detecting leakage in earth-rock dams, but it often lacks precision in identifying the edges of the leakage area and discerning the causes of low resistivity identification. To address this limitation, a precise identification method for leakage channels through three-dimensional reconstruction and inversion is proposed: Multiple 2D parallel survey lines are laid out orthogonal to potential leakage channels, and high-density electrical method inversions are performed. The simplified inversion results are then placed within a three-dimensional model cross-section. Subsequently, the infiltration lines are deduced from the elevation data obtained from multiple survey lines, and a comprehensive analysis is conducted to determine the leakage position. Results demonstrate that this method accurately detects leakage positions, identifies the reasons for low resistivity identification during inversion, provides a more intuitive observation of the direction of leakage channels, and effectively reduces low resistivity identification errors caused by normal seepage.

     

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