Tunnel detection using near-surface seismic methods
Tunnel detection using near-surface seismic methods
复制标题
使用近地表地震方法进行隧道探测
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Julian Ivanov
中科院分区：
文献类型：
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作者：
S. Sloan;J. McKenna;S. Broadfoot;Owen M. Metheny;Shelby L. Peterie;Richard D. Miller;Julian Ivanov
对采矿、隧道、岩溶特征等造成的近地表空洞进行地球物理探测，是一个长期存在的问题，既没有得到一致的解决，也没有在多个地质环境中得到解决。采用了多种方法，取得了不同程度的成功。我们提出了在一个试验场收集的浅层地震数据，该试验场有一个9.1米深的隧道，隧道位于松散沉积物中，类似于沿着美国西南边境发现的地质环境。测试结果表明，使用P波衍射和表面波后向散射技术来检测一个专门建造的地下隧道的能力。数据是由不知道目标位置的远程人员盲目处理的，结果与地面实况非常一致。这些方法有望实现高效的生产规模数据采集和实时自动化数据处理。
Geophysical detection of near-surface voids caused by mining, tunnels, karst features, etc., is a persistent problem that has not been solved either consistently or across multiple geologic settings. Multiple methods have been used with varying degrees of success. We present shallow seismic data collected at a test site with a 9.1-m deep tunnel in unconsolidated sediments similar to geologic settings found along the southwest US border. Test results demonstrate the capability of using P-wave diffraction and surface wave backscatter techniques to detect a purposebuilt subterranean tunnel. Data were processed blindly by remote personnel, who were not aware of the target location, and results are in excellent agreement with the ground truth. These methods show promise for both efficient, production-scale data acquisition and real-time automated data processing.