水文地质工程地质2026，Vol.53Issue(3)：117-131,15.DOI:10.16030/j.heg.202512052
多源信息约束高密度电法反演在低阻覆盖层隐伏岩溶探测中的应用
Application of multi-source information constrained ERT inversion to concealed karst detection under low-resistivity overburden
摘要
Abstract
Accurate identification of concealed karst is fundamental to underground space development and geological engineering safety.Electrical resistivity tomography(ERT)has become one of the primary geophysical methods in this field due to its high sensitivity to resistivity anomalies.However,in regions characterized by low-resistivity clay overburden and complex hydrogeological conditions,traditional ERT is significantly hindered by the current channeling within the conductive media.This effect obscures the electrical response of deep-seated targets,thereby limiting detection resolution and accuracy.To address the issues of blurred imaging and imprecise boundary characterization under complex overburden,this study aims to construct a constrained inversion framework that integrates multi-source information to enhance the accurate identification of concealed karst zones.The attenuation patterns of electrical signals from caves under low-resistivity covers were quantitatively analyzed through finite element method forward modeling.Subsequently,a multi-source constrained ERT inversion algorithm,incorporating seismic reflection interfaces as structural constraints and borehole prior data as physical constraints,was developed based on the pyGIMLi platform.This approach directly incorporated the seismic geometric framework and borehole-based physical calibration into the inversion objective function and was validated using a representative karst-prone field site.The results indicate that,compared with independent inversion,the multi-source constrained inversion achieves lower data fitting errors across two representative survey lines and higher identification accuracy for concealed karst.In comparison with borehole data,the anomaly boundaries obtained from the constrained inversion are more focused,effectively correcting the longitudinal smearing artifacts common in traditional independent inversion.Notably,the depth identification accuracy of the karst bottom boundaries is improved by 5 to 7 meters at EC3*.Furthermore,the method corrects the misidentification of isolated anomalies(formerly designated as EC4 and EC5),revealing the lateral connectivity features of the karst zone.The study indicates that integrating structural and physical information into the inversion process significantly improves the accuracy of concealed karst resistivity imaging.These research findings provide a reliable technical solution for accurate karst detection and hazard mitigation under complex overburden,offering broad application value for ensuring the safety of large-scale infrastructure construction.关键词
高密度电法/隐伏岩溶/约束反演/地震反射成像/钻孔资料/有限元法Key words
high-density electrical method/concealed karst/constrained inversion/seismic reflection imaging/borehole data/finite element method分类
天文与地球科学引用本文复制引用
孙旭,胡开颜,杨庆义,翟煤源,周勇福..多源信息约束高密度电法反演在低阻覆盖层隐伏岩溶探测中的应用[J].水文地质工程地质,2026,53(3):117-131,15.基金项目
国家自然科学基金项目(42574089) （42574089）
中国博士后科学基金会与湖北省联合资助(特别资助)项目(2025T045HB) （特别资助）
