Road sinkhole detection with 2D ambient noise tomography
Road sinkhole detection with 2D ambient noise tomography
复制标题
使用 2D 环境噪声断层扫描进行道路污水坑检测
DOI：
10.1190/geo2020-0739.1
复制
发表时间：
2021
期刊：
影响因子：
3.3
通讯作者：
D. Horhota
中科院分区：
文献类型：
--
作者：
Yao Wang;K. Tran;D. Horhota
地震方法通常用于检测道路下的预塌陷陷穴（空隙），以进行补救，从而最大限度地降低对出行公众安全的风险。虽然主动震源地震方法可以提供准确的地下剖面，但它们需要在测试期间关闭交通流量数小时，并可能由于震源激发引起的地面扰动而导致天坑坍塌。为了解决这些问题，我们提出了一种新的二维环境噪声层析成像（2D ANT）的道路下的空洞成像方法。而不是使用近似的格林函数，其所需的假设能量平衡在两侧的每个接收器对很少得到满足，交通噪声记录的互相关函数直接反演，以获得速度结构。为了采用地震干涉测量的概念并推导出模型结构核，将过往车辆假设为沿接收器阵列沿着的移动源。通过逆时成像方法确定源功率谱密度，以近似源分布。二维ANT方法首先证明了一个现实的合成模型与模型变量层和一个埋藏的空隙的准确恢复。为了证明它的有效性，现实世界的问题，我们成功地将其应用到现场数据评估的一个修复的天坑下的美国441高速公路，佛罗里达，美国。现场实验结果表明，该方法能够分辨地下S波速度结构，并能检测出低速异常。二维ANT反演的VS剖面与二维有源全波形反演的VS剖面基本一致，包括VS值和异常深度。据我们所知，这是第一项直接反演交通噪声记录的波形互相关以提取工程米级（<30 m深度）材料属性的研究。
Seismic methods are often used for detection of pre-collapsed sinkholes (voids) under roadway for remediation to minimize the risk to the safety of the traveling public. While the active-source seismic methods can provide accurate subsurface profiles, they require closing the traffic flow for hours during testing and potentially cause sinkhole collapse due to ground perturbation by source excitation. To address these issues, we present a new 2D ambient noise tomography (2D ANT) method for imaging voids under roadway. Instead of using the approximated Greens function, whose required assumption of energy balance at both sides of each receiver pair is rarely satisfied, the cross-correlation function of traffic noise recordings is inverted directly to obtain velocity structures. To adopt the concepts of seismic interferometry and derive the model structural kernel, passing-by vehicles are assumed as moving sources along the receiver array. The source power-spectrum density is determined via the reverse-time imaging approach to approximate the source distribution. The 2D ANT method is first demonstrated on a realistic synthetic model with the accurate recovery of the model variable layers and a buried void. To demonstrate its effectiveness to the real-world problems, we successfully applied it to field data for assessment of a repaired sinkhole under the US441 highway, Florida, USA. The field experimental result shows that the method is capable of resolving the subsurface S-wave velocity ( VS) structure and detecting a low-velocity anomaly. The inverted VS profile from the 2D ANT generally agrees with that of 2D active-source full-waveform inversion, including the VS value and depth of the anomaly. To our best knowledge, this is the first study to directly invert the waveform cross-correlation of traffic noise recordings to extract material property at the engineering meter scale (<30 m depth).
DOI：
10.1190/segam2017-17745278.1
发表时间：
2017
期刊：
--
影响因子：
--
作者：
De Ridder S
通讯作者：
De Ridder S
影响因子：
2.8
作者：
De Ridder S
通讯作者：
De Ridder S