Ionic Runoff as a Way to Determine the Degree of Karst Denudation (Case Study Jasov Plateau, Slovak Karst, Slovakia)

Gessert, Alena; Sládek, Imrich; Straková, Veronika; Braun, Mihály; Heim, Enikő; Czébely, Andrea; Palcsu, László

doi:10.3390/w13111449

Cited by 1 publication

(1 citation statement)

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“…Nevertheless, in the case of Aggtelek Karst and Slovak Karst, differential tectonic uplift also contributed (probably with a much higher rate) to the local prominence of karst plateaus [85]. In addition, it is noted that the denudation values calculated from the dissolved carbonate content of the waters flowing out of the karst springs represent the "full 3D denudation" of the karst, including the corrosion of karst caves within the rock mass; therefore, these "full 3D denudation" values are significantly greater than the denudation calculated merely from the lowering of the surface [116,117]. Anyway, the complex discussion of karst denudation is another topic, but doline morphometrical results can contribute to this topic.…”

Section: Discussionmentioning

confidence: 99%

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: Discussionmentioning

confidence: 99%