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Pregled bibliografske jedinice broj: 1203126

Landslide inventory and characteristics, based on LiDAR scanning and optimised field investigations in the Kutina area, Croatia


Pollak, Davor; Hećej, Nina; Grizelj, Anita
Landslide inventory and characteristics, based on LiDAR scanning and optimised field investigations in the Kutina area, Croatia // Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society, 75 (2022), 1; 83-99 doi:10.4154/gc.2022.02 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1203126 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Landslide inventory and characteristics, based on LiDAR scanning and optimised field investigations in the Kutina area, Croatia

Autori
Pollak, Davor ; Hećej, Nina ; Grizelj, Anita

Izvornik
Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society (1330-030X) 75 (2022), 1; 83-99

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
landslides, inventory, LiDAR, landslide identification confidence level, slides, earthflows, relative age, roughness, gullies

Sažetak
This paper presents the preliminary results of analyses of landsliding processes derived from detailed LiDAR (Light Detection and Ranging) scans supported by field prospection on the south- western slopes of Mt. Moslavačka gora, in the wider Kutina area. This area is known for frequent landslides, but dedicated regional landslide research has not been previously undertaken. High resolution LiDAR scanning and orthophoto imaging enabled the production of a reliable landslide inventory, but also enabled research on landslide properties and the morphology of the area. Field mapping and prospection, sampling and borehole coring assisted in the collection of information about the material characteristics and specific features of typical landslides. In the research area, which covers more than 71 km2, more than 1200 very small landslides were detected. The majority of landslides were discovered in just several geological units indicating their high susceptibility: Pleistocene silts and sands with clayey interlayers, followed by M2 silty sands and gravels, and M7 sands. Nearly half of the landslides are estimated to be of recent and younger age, while other landslides may be considered as being historical implying a “long tradition” of landslide events in the research area. Preliminary terrain surface roughness analysis also supported the conclusion that the inventory contains landslides of several historical generations which are still detectable. In addition to slides (1123), this research also discovered numerous earthflow processes (143), which are more frequent in the predominantly sandy units. The landslides in this area are largely located on the banks of the gullies and are directly related to the action of water. Regarding that situation and the engineering properties of the encountered geological units, four types of bank instabilities can be differentiated: slides on top of rock masses ; slides in firm soil mixtures ; landslides in sands ; landslides in predominantly coherent soil complexes.

Izvorni jezik
Engleski

Znanstvena područja
Geologija



POVEZANOST RADA


Projekti:
IPA-HR-BA-ME59 - Upravljanje rizikom korištenja zemljišta izradom karata podložnosti na klizanje (safEarth) (Gulam, Vlatko, IPA - Interreg IPA - CBC Croatia - Bosnia and Herzegovina - Montenegro) ( CroRIS)
EK-H2020-809943 - Strengthening research in the Croatian Geological Survey: Geoscience-Twinning to develop state-of-the-art subsurface modelling capability and scientific impact (GeoTwinn) (EK - H2020-WIDESPREAD-05-2017-Twinning) ( CroRIS)

Ustanove:
Hrvatski geološki institut

Profili:

Avatar Url Anita Grizelj (autor)

Avatar Url Davor Pollak (autor)

Avatar Url Nina Hećej (autor)

Citiraj ovu publikaciju:

Pollak, Davor; Hećej, Nina; Grizelj, Anita
Landslide inventory and characteristics, based on LiDAR scanning and optimised field investigations in the Kutina area, Croatia // Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society, 75 (2022), 1; 83-99 doi:10.4154/gc.2022.02 (međunarodna recenzija, članak, znanstveni)
Pollak, D., Hećej, N. & Grizelj, A. (2022) Landslide inventory and characteristics, based on LiDAR scanning and optimised field investigations in the Kutina area, Croatia. Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society, 75 (1), 83-99 doi:10.4154/gc.2022.02.
@article{article, author = {Pollak, Davor and He\'{c}ej, Nina and Grizelj, Anita}, year = {2022}, pages = {83-99}, DOI = {10.4154/gc.2022.02}, keywords = {landslides, inventory, LiDAR, landslide identification confidence level, slides, earthflows, relative age, roughness, gullies}, journal = {Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society}, doi = {10.4154/gc.2022.02}, volume = {75}, number = {1}, issn = {1330-030X}, title = {Landslide inventory and characteristics, based on LiDAR scanning and optimised field investigations in the Kutina area, Croatia}, keyword = {landslides, inventory, LiDAR, landslide identification confidence level, slides, earthflows, relative age, roughness, gullies} }
@article{article, author = {Pollak, Davor and He\'{c}ej, Nina and Grizelj, Anita}, year = {2022}, pages = {83-99}, DOI = {10.4154/gc.2022.02}, keywords = {landslides, inventory, LiDAR, landslide identification confidence level, slides, earthflows, relative age, roughness, gullies}, journal = {Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society}, doi = {10.4154/gc.2022.02}, volume = {75}, number = {1}, issn = {1330-030X}, title = {Landslide inventory and characteristics, based on LiDAR scanning and optimised field investigations in the Kutina area, Croatia}, keyword = {landslides, inventory, LiDAR, landslide identification confidence level, slides, earthflows, relative age, roughness, gullies} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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