Development of the landslide risk classification for natural and man-made slopes based on soil watering and deformation extent
Oleksandr Kovrov1, Valerii Kolesnyk1, Yurii Buchavyi1
1Dnipro University of Technology, Dnipro, 49005, Ukraine
Min. miner. depos. 2020, 14(4):105-112
https://doi.org/10.33271/mining14.04.105
Full text (PDF)
      ABSTRACT
      Purpose. To summarize and formalize the estimates of landslide risk levels based on the proposed classification of relevant environmental or man-made risks in the regions of Ukraine and local territories, including a gully-ravine network and man-made slopes of technology-related objects that represent certain environmental or man-made risk for residential areas.
      Methods. To achieve the objective, the following methodological approaches have been applied: analysis of the literature regarding state-of-the-art research on the issues of landslide phenomena assessment and prediction at regional and local levels, zonal-statistical analysis of orographic data for the each region of Ukraine with calculations of the relief integral coefficients, methods for comprehensive evaluation of natural and man-made slopes stability with the con-sideration of their geometry, water saturation, geoclimatic conditions and technogenic impacts; methods of geomechanical assessment, environmental evaluation and forecasting of landslide risk in natural geosystems and man-made slopes based on the stability factor, and scientific generalization of landslide risks using mathematical models developed by the authors and proposed criteria for watering extent and soil deformation in natural and man-made slopes.
      Findings. The five-level scale for evaluating landslide risk for natural and man-made slopes has been substantiated in terms of their stability control. The proposed landslide risk scale makes it possible to forecast reliably the geomechanical state of the rock mass depending on the values of the slope stability factor in changing geoclimatic conditions and substantiate effective anti-landslide engineering measures. Landslide risk classification of natural slopes according to the stability factor value has been proposed. The scale is recommended for assessing the stability of man-made slopes comprised of solid and bulk rocks and for forecasting the environmental risk from landslides resulting from emergency situations.
      Originality.It has been proved that the number of landslides per unit of precipitation in a region with certain relief is a constant value. The dependences for determining the critical amount of precipitation that will cause a single landslide within the gully-ravine network depending on the specific area of the landslide- prone site and on the relief have been obtained.
      Practical implications. The five-level classification scale of landslide risk for natural and technogenic slopes in respect to annual precipitations and relief coefficient has been substantiated. That helps forecast landslides and determine the level of environmental and technogenic risk inflicted therefrom.
      Keywords: landslide, landslide risk, natural slopes, man-made slopes, classification of landslide risk levels
      REFERENCES
- Yevdin, O.M., Kovalenko, V.V., & Kropyvnytskyi, V.S. (2015). Natsionalna dopovid pro stan tekhnogennoi ta pryrodnoi bezpeky v Ukraini u 2014 rotsi. Kyiv, Ukraina: Derzhavna sluzhba Ukrainy z nadzvychainykh sytuatsii.
- Bondar, O.I. (2016). Natsionalna dopovid pro stan navkolyshnoho pryrodnoho seredovyscha v Ukraini u 2015 rotsi. Kyiv, Ukraina: Ministerstvo zakhystu dovkillia ta pryrodnykh resursiv Ukrainy.
- Gariano, S.L., & Guzzetti, F. (2016). Landslides in a changing climate. Earth-Science Reviews, (162), 227-252.https://doi.org/10.1016/j.earscirev.2016.08.011
- Petley, D. (2012). Global patterns of loss of life from land-slides. Geology, 40(10), 927-930.https://doi.org/10.1130/G33217.1
- Crozier, M.J. (2010). Deciphering the effect of climate change on landslide activity: A review. Geomorphology, (124), 260-267.https://doi.org/10.1016/j.geomorph.2010.04.009
- Seneviratne, S.I., Nicholls, N., Easterling, D., Goodess, C.M., Kanae, S., Kossin, J., Luo, Y., Marengo, J., McInnes, K., Rahimi, M., Reichstein, M., Sorteberg, A., Vera, C., & Zhang, X. (2012). Changes in climate extremes and their im-pacts on the natural physical environment. In Managing the risks of extreme events and disasters to advance climate change adaptation (pp. 109-230). A Special report of working groups I and II of the Intergovernmental Panel on Climate Change (IPCC). Cambridge, United Kingdom: Cambridge University Press.
- Comegna, L., Picarelli, L., Bucchignani, E., & Mercogliano, P. (2013). Potential effects of incoming climate changes on the behaviour of slow active landslides in clay. Landslides, 10(4), 373-391.https://doi.org/10.1007/s10346-012-0339-3
- Rianna, G., Zollo, A.L., Tommasi, P., Paciucci, M., Comegna, L., & Mercogliano, P. (2014). Evaluation of the effects of climate changes on landslide activity of Orvieto clayey slope. Procedia Earth Planetary Science, (9), 54-63.https://doi.org/10.1016/j.proeps.2014.06.017
- Chang, S.-H., & Chiang, K.-T. (2011). The potential impact of climate change on typhoontriggered landslides in Taiwan, 2010-2099. Geomorphology, (133), 143-151.https://doi.org/10.1016/j.geomorph.2010.12.028
- Rudko, G.I., & Osiuk, V.A. (2012). Inzhenernaya geodinamika Ukrainy i Moldovy (opolznevye geosistemy). Bukrek: Znanie.
- Galperin, A.M. (2003). Geomechanics of open-cast mining. Moscow, Russian Federation: Publishing House of the Moscow State Mining University.
- Fleurisson, J-A. (2012). Slope design and implementation in open pit mines: Geological and geomechanical approach. Procedia Engineering, (46), 27-38.https://doi.org/10.1016/j.proeng.2012.09.442
- Hamedifar, H., Bea, R.G., Pestana-Nascimento, J.M., & Roe, E.M. (2014). Role of probabilistic methods in sustainable geotechnical slope stability analysis. Procedia Earth and Planetary Science, (9), 132-142. https://doi.org/10.1016/j.proeps.2014.06.009
- Luo, N., Bathurst, R.J., & Javankhoshde, S. (2016). Probabilistic stability analysis of simple reinforced slopes by finite element method. Computers and Geotechnics, (77), 45-55.https://doi.org/10.1016/j.compgeo.2016.04.001
- Severin, J., Eberhardtb, E., Leonic, L., & Fortind, S. (2014). Development and application of a pseudo-3D pit slope displacement map derived from ground-based radar. Engineering Geology, (181), 202-211.https://doi.org/10.1016/j.enggeo.2014.07.016
- Osasan, K.S., & Stacey, T.R. (2014). Automatic prediction of time to failure of open pit mine slopes based on radar monitoring and inverse velocity method. International Journal of Mining Science and Technology, 24(2), 275-280.https://doi.org/10.1016/j.ijmst.2014.01.021
- Zhao, L-H., Cheng, X., Zhang, Y., Li, L., & Li, De-J. (2016). Stability analysis of seismic slopes with cracks. Computers and Geotechnics, (77), 77-90.https://doi.org/10.1016/j.compgeo.2016.04.007
- Lu, L., Wang, Z.J., Song, M.L., & Arai, K. (2015). Stability analysis of slopes with ground water during earthquakes. Engineering Geology, (193), 288-296.https://doi.org/10.1016/j.enggeo.2015.05.001
- Li, Y., & Mo, P. (2019). A unified landslide classification system for loess slopes: A critical review. Geomorphology, 340(1), 67-83.https://doi.org/10.1016/j.geomorph.2019.04.020
- Kalia, А. (2018). Classification of landslide activity on a regional scale using persistent scatterer interferometry at the Moselle Valley (Germany). Remote Sensing, 10(12), 1880.https://doi.org/10.3390/rs10121880
- Kovrov, O.S., Kolesnik, V.Ye., & Buchavyi, Yu.V. (2018). Evaluation of the influence of climatic and geomorphological factors on landslides development. Environmental safety and natural resources, 1-2(25), 121-132.
- Grachev, A. (2010). Orohrafichna karta Ukrainy. Retrieved fromhttp://geomap.land.kiev.ua/orographic.html
- Sdvizhkova, Ye.A., Kovrov, A.S., & Kiriak, K.K. (2014). Geomekhanicheskaya ocenka ustoichivosti opolznevogo sklona metodom konechnykh elementov. Scientific Bulletin of the National Mining University, (2), 86-92.