Caves of Aggtelek and Slovak karsts, Northern Hungary and Southern Slovakia

Bella, Pavel; Gruber, Péter; Gaál, Ľudovít; Papáč, Vladimír; Bárány-Kevei, Ilona

doi:10.1127/zfg_suppl/2021/0689

Cited by 2 publications

(1 citation statement)

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“…Thus, we chose the area of the Aggtelek Karst (NE Hungary) and the Slovak Karst (SE Slovakia), which form a common, cross-border, continuous karst region, the traditional name of which is the Gömör-Torna (Gemer-Tur ňa) Karst. There are two national parks in this karst area, and the caves of this territory are part of the UNESCO World Heritage [56,57]. In this context, we note that the examination of sinkholes in the karst regions is significant not only from a morphometric point of view but also because most of the precipitation reaching the surface in these areas infiltrates into the depth through the dolines, which makes these landforms extremely important from a hydrological point of view.…”

Section: Introductionmentioning

confidence: 93%

LiDAR-Based Morphometry of Dolines in Aggtelek Karst (Hungary) and Slovak Karst (Slovakia)

Telbisz,

Mari,

Székely

2024

Remote Sensing

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LiDAR-based digital terrain models (DTMs) represent an advance in the investigation of small-scale geomorphological features, including dolines of karst terrains. Important issues in doline morphometry are (i) which statistical distributions best model the size distribution of doline morphometric parameters and (ii) how to characterize the volume of dolines based on high-resolution DTMs. For backward compatibility, how previous datasets obtained predominantly from topographic maps relate to doline data derived from LiDAR is also examined. Our study area includes the karst plateaus of Aggtelek Karst and Slovak Karst national parks, whose caves are part of the UNESCO World Heritage. To characterize the study area, the relationships between doline parameters and topography were studied, as well as their geological characteristics. Our analysis revealed that the LiDAR-based doline density is 25% higher than the value calculated from topographic maps. Furthermore, LiDAR-based doline delineations are slightly larger and less rounded than in the case of topographic maps. The plateaus of the study area are characterized by low (5–10 km−2), moderate (10–30 km−2), and medium (30–35 km−2) doline densities. In terms of topography, the slope trend is decisive since the doline density is negligible in areas where the general slope is steeper than 12°. As for the lithology, 75% of the dolines can be linked to Wetterstein Limestone. The statistical distribution of the doline area can be well modeled by the lognormal distribution. To describe the DTM-based volume of dolines, a new parameter (k) is introduced to characterize their 3D shape: it is equal to the product of the area and the depth divided by the volume. This parameter indicates whether the idealized shape of the doline is closer to a cylinder, a bowl (calotte), a cone, or a funnel shape. The results show that most sinkholes in the study area have a transitional shape between a bowl (calotte) and a cone.

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Section: Introductionmentioning

confidence: 93%