In the work reported here, a novel numerical solution based on consolidation theory was developed in MATLAB to predict the land subsidence of the Konya Closed Basin. In order to adjust the model to the local conditions, historical data from the study area for the years 2011–2014 were used. The presented solution allowed for subsidence model development which can support the prediction of the ground movement for the Konya Closed Basin in Turkey.

The presented research aimed to analyse the ground movements caused by mining-induced seismicity. The ground displacements were established based on data from Sentinel 1 satellites applying differential interferometric synthetic aperture radar (DInSAR). The results of the investigation revealed that the observed subsidence usually has the shape of a regular ellipse. Furthermore, the deformations of the surface occur when the energy of mining-induced tremor reaches values of the order of 10⁵ J.

The purpose of the current paper and relevant project is to investigate on the applicability of remote sensing technology, and in particular Interferometric Synthetic aperture radar (InSar), on sinkhole hazard identification, through monitoring of ground subsidence.