Browsing by Author "Gemechu, Kotola"

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    Monitoring of Ground Surface Deformation of Mining Area by using inSAR Techniques, a Case Study of Midroc Lega Dembi Gold Mine Shakiso, Ethiopia
    (Addis Ababa University, 2022-02) Gemechu, Kotola; Tulu, Besha (PhD)
    Ground surface deformation caused by mining activity is a critical aspect when assessing safety of slope and environmental impacts due to the operations of open-pit and underground mining. These mining-induced ground surface deformations have the potential to seriously harm the environment, slope stability, and man-made structures in the mining activity area and this problem monitored by using either ground or space monitoring systems. Traditional or Ground methods of monitoring ground surface deformation in the mining operations region are laborious, expensive, and time consuming with in the areas that being difficult to access. Remote sensing and other geospatial observations enable a cost-effective, dependable, temporally and spatially continuous monitoring process of mining operations at enormous sizes, regardless of physical accessibility. In this study, C-band SAR data were used to demonstrate the possibility of using the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique to investigate ground surface deformation induced by mining activities, specifically in the Midroc Gold Mine Company. The PSInSAR approach also has demonstrated its potential to analysis time series of ground subsidence in having dense vegetation and rural behavior of the study area. In midroc lega dembi open pit mining area, the maximum rate of ground surface deformation was −90 mm/year with a cumulative subsidence value of −200 and −100 mm were observed from InSAR techniques and −3.99866 and −0.000122 m cumulative displacement were observed from ground survey data. This large discrepancy between datasets is likely the result of dense vegetation land cover in the area of the interest. The ground survey data of the Midroc lega Dembi open pit mining region was correlated with the PS-InSAR results, revealing subsidence spots with a value of 0.98 correlation coefficient in selected point. The selected methodology of using C-band SAR data and ground survey data with PS-InSAR techniques to identify, monitor, and map ground surface deformation in the Gold mine area was practically applicable. Finally, based on the results and findings on the present study, certain recommendations has been made.