Study on gravity anomaly data separation methods in Qingchengzi mining area, Eastern Liaoning

With the rapid advancement of computer technology, gravity field data processing and interpretation methods have become increasingly important in the study of subsurface geological structures. This research systematically processes and analyzes gravity anomaly data from the Qingchengzi mining area in eastern Liaoning using various methods such as upward continuation and radial average power spectrum for potential field separation. Through detailed steps including data gridding, frequency domain analysis, and filter design, the study successfully separates shallow and deep geological anomalies, revealing the complex underground structural characteristics of the study area. Results indicate that the radial average power spectrum method enhances both high and low anomalies in the separated residual gravity anomalies, with clearer anomaly edges that closely match the positions of exposed rock bodies on the surface. This research verifies the significant advantages of modern gravity field processing technology in improving data interpretation accuracy and understanding subsurface structures, providing robust technical support for geological exploration and resource assessment, and laying a foundation for subsequent geological structure studies.