LAUSR

Road collapse and underground water inrush accidents pose a serious threat to urban safety and development. Transient electromagnetic (TEM) method is an effective geophysical method for detecting urban underground space. However, due to the complexity of urban geological environment, the conventional TEM detection methods are difficult to meet the needs of efficient and high-resolution detection of urban underground space. To solve this problem, an adaptive high-resolution (AHR) TEM detection method based on pseudoseismic wavelet transform technology is proposed in this study. The simulation results show that compared with the conventional technologies, the AHR detection method can more accurately reflect the resistivity distribution information in complex geological environment. The proposed method is implemented to detect an urban underground cavity, and the imaging results are consistent with the actual results. The research results will provide technical support for the early warning of road collapse and water inrush in urban industrial development.