基于高密度电法的堤防隐患时移技术研究

    A technique for monitoring leakage hazards in dikes based on time-lapse high-resolution electrical resistivity tomography

    • 摘要: 堤防渗漏隐患是威胁水利工程安全的核心问题之一, 其复杂的动态演化特征显著增加了探测与监测的难度。传统监测方法如人工巡查、传感器技术、遥感及无人机技术等, 普遍存在探测精度低、效率不足和穿透能力有限等问题。尽管传统地球物理无损检测方法(如高密度电法、自然电场法、探地雷达法、地震映像法、瞬态电磁法和伪随机流场法)能够在一定程度上反映渗漏分布及位置信息, 但在探测精度、时间连续性和长期监测能力方面仍存在明显不足, 难以满足实际工程需求。针对上述问题, 本文提出基于时移电阻率法的堤防渗漏隐患监测技术, 通过多时段、高精度的电阻率测量, 实现对渗漏隐患的动态追踪与精细识别, 为堤防安全监测提供可靠的技术支撑。结果表明: 该技术能够有效识别堤防内部的异常区域, 并通过分析电阻率变化趋势, 评估隐患的严重程度和发展过程。与传统检测方法相比, 高密度电法提供了更高的分辨率和更全面的隐患信息, 为堤防管理和维护提供了科学依据。

       

      Abstract: Leakage hazards in dikes are recognized as a core issue threatening the safety of water conservancy projects. Their complex dynamic evolution characteristics significantly increase the difficulty of detection and monitoring. Traditional monitoring methods, such as manual inspection, sensor technology, remote sensing, and unmanned aerial vehicle technology, are generally characterized by low detection accuracy, insufficient efficiency, and limited penetration capability. Traditional geophysical nondestructive testing methods, including high-resolution electrical resistivity tomography, self-potential method, ground-penetrating radar method, seismic imaging method, transient electromagnetic method, and pseudo-random flow field method, can somewhat reveal the leakage distribution and location information. However, they still fall short in detection accuracy, temporal continuity, and long-term monitoring capability, failing to meet actual engineering needs. In response to the above limitations, this study proposed a technique for monitoring leakage hazards in dikes based on time-lapse high-resolution electrical resistivity tomography. Through high-precision resistivity measurements over multiple periods, the proposed technique enables dynamic tracking and precise identification of leakage hazards, providing reliable technical support for dike safety monitoring. The results indicate that the proposed technique can effectively identify abnormal areas within dikes and assess the severity and development process of hazards by analyzing the resistivity variation trend. Compared to traditional detection methods, the proposed technique achieves higher resolution and more comprehensive hazard information, offering a scientific basis for dike management and maintenance.

       

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