Assessment of landslide hazard risks on the example of the land cadastre of Kosiv district

1
Department of Geodesy and Land Management, Ivano-Frankivsk National Technical University of Oil and Gas
2
Ivano-Frankivsk National Technical University of Oil and Gas

The purpose of the research presented in this article is to analyse landslide hazards by assessing the impact of the natural component of factors on land use within the Kosiv district of the Ivano-Frankivsk region. The increasing number of negative consequences of landslide processes in the study area, and especially in the Carpathian region of Ukraine, requires the creation of new approaches to land resource assessment and civil engineering to reduce the negative impact of landslides on the environment and human activities. Methods. Landslide processes were studied using geophysical methods, GPS and geostatistical methods of data analysis. Based on the created mapping layer of the land cadastre and the landslide hazard map for Kosiv district, a vector analysis was performed to assess the risk in each area according to its cadastral number. Results. The environmental and geological risk of the natural component of landslide hazard factors was calculated using geoinformatics and geostatistical analysis tools with the use of QGIS. An important result of the research is the creation of landslide risk maps of land plots based on data from the State Land Cadastre using the Kadastr.Live Toolbar plugin. Scientific novelty. For the first time an analysis of the natural component of landslide hazard risks for the territory of Kosiv district was carried out as a basis for the assessment of such risks for individual cadastral zones. The regulatory and monetary assessments were clarified based on individual territories, for conducting economic activities that require hydrogeological research or changing the intended use of land.. Practical significance. By applying the methodology of dividing landslide risk assessment factors into natural and anthropogenic components, it becomes possible to identify areas within the study area with the highest probability of landslide development and activation. This method helps to study the characteristics of natural factors and is useful in assessing the risk of landslides..

  1. Casagli, N., Canuti, P., Sassa, K. et al. (2022) The Sixth World Landslide Forum (WLF6) on November 14–17, 2023, Florence, Italy. Landslides 19. https://doi.org/10.1007/s10346-022-01941-4
  2. Hodunko R. Y. (2009). State Museum of Natural History of the National Academy of Sciences of Ukraine. Report on the study of wetlands in the Kosiv region.
  3. Ivanik, O., Shevchuk, V., & Gadiatska, K. (2019). Geological and Geomorphological Factorsof Natural Hazards in Ukrainian Carpathians. Journal of Ecological Engineering, 20(4). https://doi.org/10.12911/22998993/102964
  4. Kuzmenko, E. D., Shtohryn, L. V. (2010). Results of geological survey of landslide areas in Kosiv district of Ivano-Frankivsk region (Annex 1. Informational report on geological study of the subsoil on the topic № 29/10-34). Ivano-Frankivsk National Technical University of Oil and Gas: 138 p. (in Ukrainian)
  5. Kasiyanchuk, D. V. Assessment of ecological risks for the natural and anthropogenic component of exogenous processes of the Carpathian region: Candidate of geological sciences. Ivano-Frankivsk, 2016. 154с. (in Ukrainian)
  6. Kasiyanchuk, D. V., Kuzmenko, E. D., Chepurna, T. B., Chepurnyi, I. V. (2016). Calculation of that environmental and geological landslide risk estimate. Eastern-European Journal of Enterprise Technologies. 2016. 1(10(79), С. 18–25. https://doi.org/10.15587/1729-4061.2016.59687
  7. Kozak, P. I. (2010). Landslide cadastre, Kosiv district, Ivano-Frankivsk region. Lviv GEP. (in Ukrainian)
  8. Kuzmenko, E. D., Blinov, P. V., Vdovyna, O. P., Demchyshyn, M.H. (2016). Landslide prediction: Monography. Ivano-Frankivsk, IFNTUOG, 601. (in Ukrainian)
  9. Marr, P, Jiménez Donato, YA, Carraro, E, Kanta, R, & Glade, T. (2023). The Role of Historical Data to Investigate Slow-Moving Landslides by Long-Term Monitoring Systems in Lower Austria. Land; 12(3):659. https://doi.org/10.3390/land12030659
  10. Panagiotis, A., Psathas, Papaleonidas, A., Iliadis, L., Papathanassiou, G., & Valkaniotis, S. (2022). COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity. Journal of Information and Telecommunication, 6:4, 420-449. https://doi.org/10.1080/24751839.2022.2062918
  11. Pontes, C. V., Boszczowski, R. B., & Ercolin Filho, L. (2021). Geological-geotechnical risk mapping of gravitational mass movements in an urban area in Colombo, Brazil. Soils and Rocks, 2021, 44(4), e2021070721. https://doi.org/10.28927/SR.2021.070721
  12. Puniach, E, Bieda, A, Ćwiąkała, P, Kwartnik-Pruc, A, & Parzych, P. (2018). Use of Unmanned Aerial Vehicles (UAVs) for Updating Farmland Cadastral Data in Areas Subject to Landslides. ISPRS International Journal of Geo-Information, 7(8):331. https://doi.org/10.3390/ijgi7080331
  13. Sammarco, F. S., & Terracciano, A. (2023). Networks, Cycles and Urban Metabolism. Mapping Critical Environment: Giugliano in Campania (Naples) as a Case Study. Journal of Mediterranean Cities, 3(1), 101–118. https://doi.org/10.38027/mediterranean-cities_vol3no1_7
  14. Santangelo, M., Althuwaynee, O., Alvioli, M. et al. (2023). Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022. Sci Data 10, 427 https://doi.org/10.1038/s41597-023-02336-3
  15. Sestras, P., Bilas, co, S., Ros, ca, S., Veres, I., Ilies, N., Hysa, A., Spalevi´c, V., Cîmpeanu, S.M. (2022). Multi-Instrumental Approach to Slope Failure Monitoring in a Landslide Susceptible Newly Built-Up Area: Topo-Geodetic Survey, UAV 3D Modelling and Ground-Penetrating Radar. Remote Sens, 14, 5822. https://doi.org/10.3390/rs14225822
  16. Shtohryn, L., Kasiyanchuk, D., Kuzmenko, E. (2020). The problem of long-term prediction of landslide processes within the Transcarpatian inner depression of the Carpatian region of Ukraine.  Carpathian Journal of Earth and Environmental Sciences, Vol. 15, No. 1, p. 157 – 166. URL http://www.cjees.ro/viewTopic.php?topicId=844
  17. Shtohryn, L., Anikeyev, S., Kuzmenko, E. & Bagriy, S. (2021). Reflection of the activity of landslide processes in the regional gravitational and magnetic fields (on the example of the Transcarpathian region). Geodynamics. 1(30), p. 65-77. https://doi.org/10.23939/jgd2021.01.065
  18. Snitynskyi, V., Khirivskyi, P., & Hnativ, R. (2020). Landslides and erosion phenomena in the foothills of the Carpathian region rivers. Scientific Journal “Theory and building practice” (JTBP). Lviv: LPNU. https://doi.org/10.23939/jtbp2020.01.0098
  19. Tymkiv, M., & Kasiyanchuk, D. (2018). Research of Data Sequences of Groundwater Levels with Gaps. Journal of ecological engineering, 20/3, p. 141-151 https://doi.org/10.12911/22998993/99744
  20. Wood, N., Pennaz, A., Marineau, J., Jones, J., Jamie Jones, J., Ng, P., & Henry, K. (2022). International Journal of Disaster Risk Reduction, Volume 82, November 2022, 103385 https://doi.org/10.1016/j.ijdrr.2022.103385
  21. Zweifel, L., Samarin, M. & Alewell, C. (2021)  Investigating causal factors of shallow landslides in grassland regions of Switzerland, Nat. Hazards Earth Syst. Sci. Retrieved from https://doi.org/10.5194/nhess-21-3421-2021.