Use of a LiDAR-derived landslide inventory map in assessing Influencing factors for landslide susceptibility of geological units in the Petrinja area (Croatia)
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Feb 28, 2022
Keywords:
Landslide inventory, LiDAR, landslide susceptibility, geological units, Basic geological map, Petrinja
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Abstract
A landslide inventory was created for an area of 22.6 km2 near Petrinja city in northern Croatia, based on the high-resolution LiDAR data complemented by orthophoto maps. A total of 216 landslides were identified, covering 2.91 % of that area. Landslide polygons were overlain on geological units based on the Basic map of SFRY at a scale of 1:100,000 that is the largest scale geological map available for the whole of Croatia. The relationship between landslides and geological units was expressed as a landslide index. Three geological units displayed increased landslide susceptibility. A Pliocene unit clearly had the largest susceptibility, followed by a Palaeocene-Eocene unit, and finally a Badenian unit. Landslide density was analyzed within these geological units to identify influencing factors for landslide initiation. Each geological unit revealed different influencing factors. The Pliocene unit is mostly influenced by bedding plane orientation and local relief. Heterogeneousness lithology is the dominant factor in the Paleocene-Eocene unit, while the Badenian unit demonstrated the least certain interpretation as there are multiple factors involved. The forest road is presumed to be crucial, followed by spring occurrences and proximity to the tectonic boundary. The basic geological map of SFRY proved to be a viable source of geological information for the creation of landslide susceptibility maps at a scale of up to 1:100,000, but with limitations in the case of lithologically heterogeneous geological units. Larger scale maps require more detailed research as landslide susceptibility factors vary in each geological unit.
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References
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CARRARA, A., CARDINALI, M., DETTI, R., GUZZETTI, F., PASQUI, V., & REICHENBACH, P. (1991): GIS techniques and statistical models in evaluating landslide hazard.– Earth Surface Processes and Landforms, 16/5, 427–445. doi: 10.1002/esp.3290160505
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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, 31/2, 393–409. doi: 10.1007/s12583-019-1231-z
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CRUDEN, D. M., & VARNES, D. J. (1996): Landslide types and processes.– Special Report, National Research Council, Transportation Research Board, 247, 36–75.
ČUBRILOVIĆ, P., PALAVESTRIĆ, L., NIKOLIĆ, T., & ĆIRIĆ, B. (1967): Inženjerskogeološka karta SFR Jugoslavije 1:500000 [Engineering geological map of SFR of Yugoslavia 1:500000 – in Croatian].– Savezni geološki zavod, Beograd.
DELLA SETA, M., DEL MONTE, M., FREDI, P., & LUPIA PALMIERI, E. (2004): Quantitative morphotectonic analysis as a tool for detecting deformation patterns in soft-rock terrains: a case study from the southern Marches, Italy.– Géomorphologie : Relief, Processus, Environnement, 10/4, 267–284. doi: 10.3406/morfo.2004.1224
EUROPEAN ENVIRONMENT AGENCY. (2010): Mapping the impacts of natural hazards and technological accidents in Europe.– European Environment Agency, 144 p , 13. doi: 10.2800/62638
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
GETACHEW, N., & METEN, M. (2021): Weights of evidence modeling for landslide susceptibility mapping of Kabi-Gebro locality, Gundomeskel area, Central Ethiopia.– Geoenvironmental Disasters, 8, 6. doi: 10.1186/s40677-021-00177-z
GÖKCEOGLU, C., & AKSOY, H. (1996): Landslide susceptibility mapping of the slopes in the residual soils of the Mengen region (Turkey) by deterministic stability analyses and image processing techniques.– Engineering Geology, 44/1–4, 147–161. doi: 10.1016/s0013-7952(97)81260-4
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., CARDINALI, M., REICHENBACH, P., & CARRARA, A. (2000): Comparing landslide maps: A case study in the upper Tiber River basin, central Italy.– Environmental Management, 25/3, 247–263. doi: 10.1007/s002679910020
GUZZETTI, FAUSTO, CARRARA, A., CARDINALI, M., & REICHENBACH, P. (1999): Landslide hazard evaluation: A review of current techniques and their application in a multi-scale study, Central Italy.– Geomorphology, 31/1–4, 181–216. doi: 10.1016/S0169-555X(99)00078-1
GUZZETTI, FAUSTO, 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, 112/1–2, 42–66. doi: 10.1016/j.earscirev.2012.02.001
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