Globally, landslides cause significant losses and pose considerable hazards to property, infrastructure, and inhabitants in many regions. For these reasons, landslides are subjected to interdisciplinary research covering different aspects such as mapping, formation conditions, statistical risk analysis, monitoring, as well as stabilization, and prevention. Management of landslide-prone areas requires an understanding of the causes and processes that lead to landslides. Therefore, conditioning factors such as elevation, slope, lithology, inherited structures, soil type, rainfall, hydrology, and land use are often considered important. This PhD project aims to evaluate geological structures that are generally believed to control the localization of landslides, but commonly are one of the least investigated factors. These are mostly planar structures such as foliations, shear zones, faults, and joints or deformation-induced changes in a rock mass quality. The Ph.D. candidate will perform a detailed multi-scale investigation of deformation structures in two selected regions along the Krušné hory fault zone and develop an integrated dataset for testing various machine-learning algorithms to evaluate the importance of individual geological factors. The close collaboration with other scientific teams of the OPJAK project is anticipated.

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