Modelling the karst zones in a dam site through micro-gravity data

Abstract

Micro-gravity data have been used in a rough terrain area to detect and model karst zones. A dense digital terrain model was used to compute terrain corrections and Bouguer gravity anomalies. Residual gravity anomalies were computed by the polynomial fitting method. The Euler deconvolution method was applied to residual anomalies to get some information about the depths of the anomalies.Using the depths of the anomalies as prior information, the anomalies (karst zones) were modelled through inversion of micro-gravity data by the growing bodies method.