超短时长被动源面波成像在浅地表空洞识别中的应用

Application of ultra-short-duration passive source surface-wave imaging in identification of shallow surface cavities

为解决城市物探工作中由于勘探场地的监管限制导致无法进行长时间数据采集工作的问题,笔者使用超短时长被动源噪声数据,通过相位加权叠加互相关函数法提取出频散曲线,并对基阶频散曲线反演得到一维横波速度剖面,以一维横波速度剖面为初始模型反演得到第二阶段反演结果,指示出地下空洞的存在。研究结果表明超短时长被动源面波成像方法在空洞识别方向应用的可行性。

To address the challenge of long-duration data collection difficulty in urban geophysical exploration resulted from regulatory restrictions on exploration sites,the authors utilize ultra-short-duration passive source noise data.By employing the phase-weighted stacking of cross-correlation functions,dispersion curves are extracted.The fundamental mode dispersion curves are then inverted to obtain a one-dimensional S-wave velocity profile.Utilizing this profile as an initial model,a second-stage inversion is conducted,which reveals the presence of underground cavities.The results of this study demonstrate the feasibility of using ultra-short-duration passive source surface-wave imaging for cavity detection.