| 林大铭,张文伟,张丹妮,晏合国,李冠辰,真齐辉,刘国强,李艳红,李士强.杆塔下隐伏采空区 AMT探测数值模拟研究[J].矿产勘查,2025,16(12):2632-2641 |
| 杆塔下隐伏采空区 AMT探测数值模拟研究 |
| Numerical simulation of audio-frequency magnetotelluric method for goaf under transmission towers |
| 投稿时间：2025-11-09 |
| DOI：10.20008/j.kckc.202512010 |
| 中文关键词: 杆塔下采空区 音频大地电磁法 数值模拟 视电阻率 |
| 英文关键词: goaf under the pole tower audio magnetotelluric method detection numerical simulation apparent resistivity |
| 基金项目:本文受深地国家科技重大专项全息三维电磁探测装备(2024ZD1002902)与齐鲁中科电工先进电磁驱动技术研究院科研基金联合资助。 |
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| 中文摘要: |
| 煤矿采空区易形成积水空腔，诱发地表塌陷，对输电线路的安全稳定运行构成严重威胁。煤层的采深及采厚与采空区上方地基稳定性密切相关，大深度、小采厚的隐伏采空区探测难度大，危害性极大。然而，传统采空区探测方法在复杂地形电力杆塔环境的应用场景下，难以同时满足设备便携性和大探测深度的需求。音频大地电磁法(AMT)是一种被动源电磁探测方法，设备轻便，探测深度大，在电力杆塔下采空区探测方面具有重大潜力。本文针对隐伏采空区，构建了数值仿真地电模型，系统分析了不同电阻率(10-2~ 108)和采厚比(30~130)的采空区的可探测性。研究表明，埋深和电导率差异是影响探测灵敏度的关键因素。一方面，随着埋深增加，灵敏度减小；另一方面，随着目标体与围岩电性差异增大，灵敏度先升高后趋于稳定。此外，本文还建立了最优探测频率与埋深的定量关系。随着埋深增加，最优探测频率遵循幂函数规律向低频偏移，并且可探测频带范围随埋深增加而变窄。本研究为应用 AMT探测杆塔下隐伏采空区奠定了理论基础。 |
| 英文摘要: |
| Coal mine goafs tend to form water-filled cavities, which may trigger surface subsidence and poseserious threats to the safe and stable operation of transmission lines. The depth and thickness of coal seams areclosely related to the stability of foundations above goaf areas. Detecting concealed goafs with great depth and smallmining thickness is particularly challenging and hazardous. However, conventional detection methods struggle tomeet both the portability and deep detection requirements in the complex terrain where power towers are located.The audio magnetotelluric (AMT) method, a passive-source electromagnetic technique, offers lightweight equipmentand large penetration depth, showing significant potential for detecting goafs beneath power towers. This study estab-lishes a numerical geoelectric model for concealed goafs and systematically analyzes the detectability of goafs withvarying resistivities (10-2~108) and mining thickness ratios (30~130). Research has shown that differences in burialdepth and conductivity are key factors affecting detection sensitivity. On the one hand, as the burial depth in-creases, the sensitivity decreases; on the other hand, as the difference in electrical properties between the targetbody and the surrounding rock increases, the sensitivity first increases and then tends to stabilize. In addition, thearticle also established a quantitative relationship between the optimal detection frequency and burial depth. As theburial depth increases, the optimal detection frequency follows a power function law and shifts towards lower fre-quencies, and the detectable frequency band range narrows with increasing burial depth. This study lays a theoreti-cal foundation for the application of AMT to detect hidden goaf under tower structures. |
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