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Podatność osuwiskowa obszaru Krakowa

Kamieniarz Sylwester

Przegląd Geologiczny

2022

Vol. 70, nr 9

701--712

Due to the differentiation of landslides in Kraków city area, an artificial neural network method (multilayer perceptron) was used to determine the landslide susceptibility (LS). The calculations were performed in the r.landslide module. The network learning was carried out on the basis of 8 thematic layers (slopes, slope exposure, absolute height, relative height, convergence index, surface lithology, sub-Quaternary lithology, distance from tectonic discontinuities). For modelling, 434 points representing landslides and the same number of points of locations without landslides were used. Among the set of points, 70% was allocated to the training phase, 15% to the validation phase, and 15% to the phase. In order to assess the network performance, based on the results of the test phase, a confusion matrix was made. Approximately 22% of the city’s area is susceptible to landslide occurrence (LS > 0.05 ). It overlap existing landslides and cover areas where they have not occurred yet. The greatest number of areas susceptible to landslide occurrence is located in districts X (54% of the district area) and VII (47%). There are also the most susceptile areas (LS > 0.95). The sensitivity analysis implemented in the module showed that among the thematic layers used for modelling the slopes, convergence index, distance from tectonic discontinuities and sub-Quaternary lithology have the greatest impact on the landslide susceptibility.

Rozwój badań osuwisk w Państwowym Instytucie Geologicznym

Wójcik Antoni, Wojciechowski Tomasz, Wódka Marcin, Kaczorowski Jarosłąw, Kamieniarz Sylwester, Sikora Rafał, Kułak Marcin, Karwacki Krzysztof, Warmuz Bartłomiej, Perski Zbigniew

Przegląd Geologiczny

2020

Vol. 68, nr 5

356--363

The paper presents the history and latest achievements in landslide research at the Polish Geological Institute (PGI). Since the establishment of PGI in 1919, landslides have been investigated during geological mapping in the Carpathians and considered by engineering geologists. After the 2nd World War, the importance of landslide research becomes more and more important following each landslide catastrophic event. Since 2008, the research on landslide and mass movements has been carried out systematically at the PGI within the SOPO (Landslide Counteracting System) project framework. Since that time, the SOPO project has been developing from landslide mapping and recording into a large spatial database, a sophisticated monitoring system (including on-line data acquisition) and susceptibility analysis, and early warnings with prediction capabilities. SOPO plays an important role to local and national administration. Together with the legal component, it allows defining a strategy for landslide risk reduction in Poland. Recently, landslide research plays so important role at the PGI that a special department, called Geohazard Center, has been established within the PGI organizational structure.