Assessment of hidden disasters in mining areas based on geophysical methods with an example from Chongli, Hebei

To identify hidden disaster factors and ensure mining safety and subsequent remediation efforts, a study on the application and demonstration of geophysical exploration technologies is conducted in the Chongli Mining Area of Hebei Province. The research primarily employs the high-density resistivity method and ambient noise tomography. Based on preliminary surveys and geological data of the mining area, a total of two high-density electrical profiling lines and two ambient noise tomography lines are deployed. Integrated with known mining area data, the microtremor survey profiles infers structural conditions, five goaf areas, and five wave velocity anomaly zones. The high-density electrical survey delineates a water seepage area and a goaf zone. The study demonstrates that the shear wave velocity information obtains through ambient noise tomography and the resistivity data acquired from the high-density resistivity method effectively classifies the stratigraphic information of the survey profiles, accurately delineating the extent of goafs and other hidden hazards in the mining area. This research provides a critical basis for the next steps in managing hidden disaster factors in the mining area, ensuring the safety of personnel and local residents.