Geomorphological Characteristics of the Italian Side of Canin Massif (Julian Alps) using Digital Terrain Analysis and Field Observations

Abstract

IzvlečekUDK 911.2:551.432(234.323.6) Tamás Telbisz, László Mari & Lénárd Szabó: Geomorfološke značilnosti italijanske strani Kaninskega masiva (Julijske Alpe), ugotovljene z uporabo digitalnega modela reliefa in te� renskim opazovanjem V prispevku je na primeru Kaninskega masiva prikazano, kako z uporabo GIS tehnologij lahko preučujemo visokogorska kraška območja. Histogrami nadmorske višine in naklona na primeru Kanina kažejo na razlike med nivoji planot ter razlike v procesih med severnim, zahodnim in južnim delom pogo rja. Na osnovi karte grebenov in dolin, narejene iz digitalnega modela višin ter analize profila dolinskega dna smo potrdili pretekle spremembe smeri odvodnjavanja severnega dela Kanin ske planote. Na podlagi podatkov o naklonu smo določili potencialna območja akumulacije snega oz. snežišč in nunatakov. V okviru raziskave so bile narejene tudi skice geomorfoloških kart in statistična analiza zaprtih kotanj, ki nakazujejo na mlado površinsko zakrasevanje in močan vpliv geoloških struktur. Ugotavljamo, da so kvantitativne in vizualne zmogljivosti GIS-ov uporabne pri prepoznavanju vplivov ledeniških, fluvialnih, strukturnih in kraških procesov. Ključne beside: Kanin, digitalni model relief, glaciokras, GIS, vrtača, morfometrija. In this paper, by the example of Canin Massif, it is demonstrated, how GIS-techniques can be used for the study of high mountain karst terrains. In case of Canin, elevation and slope histograms show characteristic differences in plateau levels and landforming processes between the northern, western and southern sectors of the mountains. Ridge and valley map (derived from the digital elevation model) and thalweg analysis are used to recognize drainage reorganizations north of the Italian Canin plateau. Potential snow accumulation locations and nunataks are determined based mainly on the slope map. Geomorphological sketch maps and statistical analysis of closed depressions are also carried out in this study supporting the relatively young age of superficial karstification and the strong structural impact. Finally, it is concluded, that quantitative and visual capabilities of GIS are useful in discriminating the effects of glacial, fluvial, structural and karst processes.

Hydrogeological characterization of groundwater storage and drainage in an alpine karst aquifer (the Kanin massif, Julian Alps)

“…In contrast with the Main dolomite, the Dachstein limestone is well‐stratified and highly karstified (Cucchi et al ., ; Casagrande et al ., ; Telbisz et al ., ). The transition between the Dachstein limestone and the Main dolomite is not well‐defined.…”

Modelado fractal de la distribución del tamaño de dolinas en el macizo kárstico de la Sierra de las Nieves (Málaga, España)

“…También se ha mostrado la distribución fractal de la distribución del tamaño de lagos (Seekell et al, 2013). Con respecto a las dolinas, la hipótesis clásica ha sido que la distribución de dolinas (representada por su centroide por ejemplo) sigue una distribución de Poisson y que la distribución del tamaño de dolinas es lognormal (Gao et al 2005;Telbisz et al 2009Telbisz et al , 2011Victorov, 2016). Sin embargo, la ley potencial se ha considerado como alternativa lógica de la ley lognormal, ya que modelos generadores básicos producen ambas distribuciones (Mitzenmacher, 2004).…”

Fusion of multi‐resolution surface (terrestrial laser scanning) and subsurface geodata (ERT, SRT) for karst landform investigation and geomorphometric quantification

“…In recent years the advent of modern technologies has allowed new methodological approaches to karst landform development studies. This especially applies to computer‐aided investigations, such as remote sensing and geographic information systems (GIS), which improve the generation of geomorphic maps and help monitor and mitigate karst geohazards by providing precise topographic data (Gao et al ., ; Guimaraes et al ., ; Tüfekci and Sener, ; Lamelas et al ., ; Telbisz et al ., ). In addition, tomographic mapping enables the subsurface analysis of karst terrains and the detailed study of associated features like dolines and poljes (Sauro et al ., ; Veress, ; Valois et al ., ).…”