Spatial distribution and geometric characteristics of landslides with special reference to geological units in the area of Slavonski Brod, Croatia
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Feb 28, 2022
Keywords:
Landslide inventory, LiDAR, geological units, landslide spatial distribution, North Croatian Basin
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Abstract
A preliminary analysis of landslide spatial distribution and their geometric characteristics is presented for the area of Slavonski Brod, located in the northeastern part of Croatia and belonging to the Pannonian Basin System. A landslide inventory for the study area of 55.1 km2 is accomplished for the first time, based on the visual interpretation of a high resolution LiDAR digital terrain model. In total, 854 landslide polygons are delineated, corresponding to an average density of 15.5 landslides per square kilometre. The average landslide area is 839 m2, and most of the landslides can be classified as small landslides (76 %). The spatial relationship between landslides and geological units is analysed and expressed as a landslide index. The Late Pannonian sands with silts and gravel interlayers and Pliocene clay, sands, gravels, and coal are determined as the units that are most susceptible to landslide processes. The majority of landslides (85 %) are concentrated within these two units, for which a detailed analysis is performed, determining the morphometric parameters (slope and relief) and drainage network. The parameters’ classes that create favourable preconditions to slope instabilities are defined, based on the landslide density within individual classes. Besides, the geometric characteristics of landslides (size and shape) within these two units are compared. The results serve as the basis for further investigations. They help to foresee the area of future landslides through landslide susceptibility maps, and offer a better understanding of the influence of fluvial-denudation and slope processes on recent landscape evolution and form.
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References
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CONFORTI, M. & IETTO, F. (2020): Influence of Tectonics and Morphometric Features on the Landslide Distribution: A Case Study from the Mesima Basin (Calabria, South Italy).– Journal of Earth Science, 31, 393–409. doi: 10.1007/s12583-019-1231-z
CROZIER, M.J. (2010): Landslide geomorphology: An argument for recognition, with examples from New Zeland.– Geomorphology, 120/1–2, 3–15. doi: 10.1016/j.geomorph.2009.09.010
ČUBRILOVIĆ, P., PALAVESTRIĆ, LJ. & NIKOLIĆ, T (1967): Inženjerskogeološka karta SFR Jugoslavije u mjerilu 1:500000 [Engineering Geological Map of SFRY in scale 1:500.000 – in Croatian].– Savezni geološki zavod, Beograd.
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FELL, R., COROMINAS, J., BONNARD, C., CASCINI, L., LEROI, E. & SAVAGE, W.Z. (2008): Guidelines for landslide susceptibility, hazard and risk zoning for land use planning.– Engineering geology, 102/3–4, 85–98. doi: 10.1016/j.enggeo.2008.03.022
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GÖRÜM, T. (2019): Landslide recognition and mapping in a mixed forest environment from airborne LiDAR data.– Engineering Geology, 258, 105155. doi: 10.1016/j.enggeo.2019.105155
GUZZETTI, F., ARDIZZONE, F., CARDINALI, M., GALLI, M., REICHENBACH, P. & ROSSI, M. (2008): Distribution of landslides in the Upper Tiber River basin, central Italy.– Geomorphology, 96, 105–122. doi: 10.1016/j.geomorph.2007.07.015
GUZZETTI, F., MONDINI, A.C., CARDINALI, M., FIORUCCI, F., SANTANGELO, M. & CHANG, K.-T. (2012): Landslide inventory maps: New tools for an old problem.– Earth-Science Reviews, 112, 42–66. doi: 10.1016/j.earscirev.2012.02.001
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