On different types, conditions, and factors of landslide risks in the city of Dnipro


Keywords: landslide, clays, spatial model

Abstract

The paper represents the research results as for the factors of such dangerous geological phenomenon as landslides in terms of geological medium of the city of Dnipro. It is emphasized that there are certain geological, geomorphological, and hydrogeological conditions favouring the development of a medium for landslide formation. Irrespective of long-term study of that phenomenon, spatiotemporal prognosis is a complex scientific problem requiring application of innovative ideas and scientific statements concerning both separate components of a geological medium and rather complex natural and technogenic system. The paper analyzes conditions of the development of deep landslides within the territory of the city of Dnipro connected with a geological structure in a scope going beyond traditional scope of engineering and geological studies. Despite wide occurrence of landslide developments within the territory of the region, landslide of the Dnipro region are not singled out as a separate regional type. According to different estimations, general number of landslides is more than 144 within the city of Dnipro. The studies are based on numerous calculations of slope stability indicating the importance of the occurrence of Pre-Quaternary deposits as the factor favour- ing deep landslide formations. Basing upon the processing of the geological studies, cartographic modeling of the surfaces of certain levels, their thickness, and analysis of landslides grouping within the areas of singled-out territories have been performed. Maps of the surfaces of reddish-brown (N2-Q1) and grey-green (N1-S2) clays as well as deposits of Obukhivska (P2ob) and Mezhyhirska (P3 mž) suites, representing together the rock thickness corresponding to Kharkiv Stage (P2-3hr), have been developed. It has been proved that occurrence mode of clays at the base of loessial soils creates certain conditions for the development of landslides being different in their mechanisms (i.e. cutting, slipping, and squeezing). An example of certain calculations of slope stability is given confirming the important role of argillaceous rocks in the formation of the zone of changed soil condition and property. It has been proved that occur- rence mode of the rocks occurring lower than the depth of water erosion development should be studied thoroughly while designing landslide protection structures to obtain accurate model of the geological medium.

Author Biography

T. P. Mokritskaya
Oles Honchar Dnipro National University

References

1. Alcántara-Ayala I., Sassa K., Mikoš M. et al., 2017. Int J Disaster Risk Sci (2017) 8: 498. https://doi. org/10.1007/s13753-017-0139-4
2. Choi K.Y., Raymond W.M., Cheung, 2013. Landslide disaster prevention and mitigation through works in Hong Kong. Journal of Rock Mechanics and Geotechnical Engineering Volume 5, Issue 5, October 2013, 354-365, doi: https://doi. org/10.1016/j.jrmge.2013.07.007
3. Ciampalini A., Raspini F., Lagomarsino D., Catani F., Casagli N., 2016. .Landslide susceptibility map refinement using PSInSAR data/Remote Sensing of Environment, Volume 184, 302-315 https://doi. org/10.1016/j.rse.2016.07.018
4. Demchishin M.G., 1982. Prognoz i preduprezhdeniye opolznevykh yavleniy na territorii Ukrainy [Fore- cast and prevention of landslide phenomena in Ukraine].K.: IGSNAS. – 53 s. (in Russian).
5. Gariano S. L., Guzzetti F., 2016. Landslides in a changing climate. Earth-Science Reviews Volume 162, November, 227-252 https://doi.org/10.1016/j. earscirev.2016.08.011
6. Hong H., Xu Chong, Tien Dieu, 2015. BLandslide Susceptibility Assessment at the Xiushui Area (China) Using Frequency Ratio Model. Procedia Earth and Planetary Science, Volume 15, 513-517 https://doi.org/10.1016/j.proeps.
7. Iversona R.M., , Georgea D.L., Allstadtb K. et al., 2015 . Landslide mobility and hazards: implications of the 2014 Oso disaster Earth and Planetary Science Letters Volume 412, 15 February 2015, 197-208. https://www.sciencedirect.com/science/article/ pii/S0012821X1400781X?via%3Dihub https://doi.org/10.1016/j.epsl.2014.12.020
8. Jinesh M., Vinayak M., Dhruv A., Atish and Krishna P., 2017. Pothole Detection and Analysis System (PoDAS) for Real Time Data Using Sensor Networks. Journal of Engineering and Applied Sciences, 12: 3090-3097.
9. Le Q.H. et al. (2018) TXT-tool 1.084-3.1: Landslide Sus- ceptibility Mapping at a Regional Scale in Viet- nam. In: Sassa K. et al. (eds) Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools. Springer, Cham K. Hirota, K. Konagai, K. Sassa et al, Landslides 16: 189. https://doi.org/10.1007/ s10346-018-1100-3
10.Liao Z., Y. Hong, , D. Kirschbaum, et al. 2011. Nat Hazards (2011) 58: 325. https://doi.org/10.1007/s11069- 010-9670-y
11. Lombardo L., P. Martin Mai, 2018. Presenting logistic regression-based landslide susceptibility results /Engineering Geology Volume 244, 3 October 2018, 14-24 https://doi.org/10.1016/j. enggeo.2018.07.019
12. Nekryach, A. I. Manyuk, V. V, 2004. Zvit pro heolohichne dovyvchennya ranishe zakartovanykh ploshch masshtabu 1:200 000, Arkush M-36-XXXVI. [The State Geological Map of Ukraine in the scale 1:200 000], Kyiv, UkrSGRI, 127.
13. Mokritskaya T.P., Samoylych K. O. 2017. Attempt to Create a Cartographic Forecast Model of Sub- sidence Degradation for the Right Bank Area of the City Dnipro. Dniprop. Univer. bul- letin, Geology, geography., 25(2), 117-122. doi:10.15421/111726
14. Mokritskaya T.P., Shestopalov V.M., 2015. Landslide Pro- cesses of Active Phase of under Conditions of Technogenesis with the Example of Pridneprovsk Industrial Region of Ukraine. - Engineering Geol- ogy for Society and Territory. – Springer, Vol. 5, 663-665.
15. Reichenbacha P., Rossia M., Malamudb B. D., Mihirb M., Guzzetti F., 2018. A review of statistically-based landslide susceptibility models. Earth-Science Reviews 180 (2018) 60–91.
16. Rudko G .I., 2006. Opolzni i drugiye geodinamicheskiye protsessy gornoskladchatykh oblastey Ukrainy (Krim, Karpati): [Landslides and other geodnamic processes in the mining areas of Ukraine (Crimea, Carpathians)]. Zadruga, 624 ((In Russian).
17. Wooten R.M., Witt A.C., Miniat C.F., Hales T.C., Aldred J.L, 2016. Frequency and Magnitude of Selected Historical Landslide Events in the Southern Appalachian Highlands of North Carolina and Virginia: Relationships to Rainfall, Geological and Ecohydrological Controls, and Effects. In: Greenberg C., Collins B. (eds) Natural Disturbances and Historic Range of Variation. Managing Forest Ecosystems, vol 32. Springer, Cham
Published
2019-10-07