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Triggers of present-day rockfalls in the zone of sporadic permafrost in non-glaciated mountain region: the case study of Turnia Kurczaba (the Tatra Mts., Poland)

Kajdas Joanna, Gądek Bogdan, Rączkowska Zofia, Cebulski Jarosław

Geology, Geophysics and Environment

2024

Vol. 50, no. 1

23--38

In recent decades there has been growing evidence of the impact of ongoing climate warming on the frequency of rockfalls. However, these are not adequately documented, especially in non-glaciated, high mountain regions of middle latitude. This study comprehensively documents the Turnia Kurczaba rockfall, one of the most significant rockfalls recorded in recent decades in the Tatra Mountains. The precise projections of the volumes and distribution of rock losses and deposits, the determination of the trajectories, modes and speeds of movement of rock material, as well as information on the geological, morphological, and meteorological conditions behind the Turnia Kurczaba rockfall form a unique dataset. The data documents a spectacular episode in the contemporary development of a complex slope system in the Tatras in an all-encompassing way and can be used to validate and calibrate existing models and improve numerical simulations of other rockfalls, both for hazard and risk assessment and slope evolution studies. Moreover, in the context of archival data, they demonstrate that in the Tatra sporadic permafrost zone, only relatively small rockfalls have been recorded in recent decades. Their cause was not the degradation of permafrost but freeze-thaw processes with the co-participation of rainwater and meltwater. The largest of these occur within densely fractured cataclysites, mylonites, and fault breccias. The impact of rockfalls on the morphodynamics of talus slopes is uneven in the storied arranged rock-talus slope systems. Even colluviums belonging to the same slope system can differ in their development rate and regime, and different thermal and wetness drivers can control their evolution.

Possibilities and limitations of using iPhone 13 Pro with built-in LiDAR sensor in cave research – on the example of paleoflow analysis in Mylna Cave (Western Tatra Mts, Poland)

Pluta Przemysław, Siemek Dawid

Landform Analysis

2023

Vol. 42

51--62

The study tested the capabilities of the Apple iPhone 13 Pro device using two measurement techniques, LiDAR (Light Detection and Ranging) and SfM (Structure from Motion), in a cave environment by measuring scallops in Mylna Cave in Western Tatra Mountains. The tested device provides an interesting and inexpensive alternative for cave research using TLS (Terrestrial Land Scanner) type scanners or more expensive MLS (Mobile Laser Scanning) type scanners. The study used a dedicated 3D Scanner App™ application to create two terrain models: LiDAR and SfM. A comparative analysis of the models shows that the SfM model is characterised by greater detail. The results obtained for this model indicate that the scallops measured in Wielki Chodnik passage of Mylna Cave belong to at least two different generations of forms. In the LiDAR method case, the obtained models’ resolution was not precise enough to identify small (<3 cm) scallops. For three LiDAR models, the average length of scallops was 10.32 cm; for three SfM models, it was 5.16 cm. The length of scallops obtained from models allowed for calculating paleoflow velocity and, thus, the flow rate. The average velocity value for LiDAR models was 28.98 cm s−1, and for SfM models – 48.10 cm s−1 and the average flow rate obtained from SfM data was 1.93 m³ s−1. It corresponds well with the today-observed Kościeliski Potok flow rate of 1.7 m³ s−1 according to the 1966–2000 period (Baścik et al. 2014). On the contrary, the average paleoflow rate obtained from the LiDAR model, which is 0.94 m³ s−1, does not match the contemporary flow rate. Based on the asymmetry of scallops, the paleoflow direction was determined. It is consistent with the current direction of the Kościeliski Potok flow. The spatial imaging techniques used with iPhone 13 Pro differ regarding the DEM creation method and model details. It is influenced by parameters related to lighting, distance, scanned surface character and microclimatic conditions of the cave.