Landslide hazard assessment of the Norak region of Tadjikistan
https://doi.org/10.32454/0016-7762-2022-64-1-50-60
Abstract
Introduction. The application of geographic information system (GIS) technologies is a promising technology for mapping and evaluating landslide hazards. At present, satellite-based terrestrial sensing is widely used. Satellite images make it possible not only to identify individual landslides, particularly in hard-to-reach areas, but also to identify those locations where landslide processes have manifested, are manifesting and may manifest themselves in the future.
Aim. Mapping of the present landslide propagation in the territory of the Norak region of Tajikistan using satellite imaging and GIS.
Materials and methods. In the course of the study, maps of landslide propagation were compiled both automatically and manually. An analysis of the results of previous studies and interpretations of satellite images was conducted. Digital models of the relief, as well as topographic, geomorphological, engineering and geological maps, were investigated.
Results. A detailed map of landslide phenomena was compiled in the GIS format and a database of landslide phenomena was created for the first time for the territory of the Norak region of the Republic of Tajikistan.
Conclusions. The conducted zoning showed that, out of the total landslide number, 24%, 36%, 10%, 18% and 12% correspond to very small, small, medium, large, and very large landslides, respectively. The landslide processes are developed across the area of 2601×104 m2, which accounts for the 4% of the total area of the district. The results demonstrate that the approach used in this study may be applicable to the landslide hazard assessment in hard-to-reach and poorly studied regions.
About the Authors
B. Kh. MuminovRussian Federation
Bakhromzhon Kh. Muminov — Post-graduate researcher, Department of Ecology and Nature Management, Faculty of Ecology
23, Miklukho-Maclay, Moscow 117997, Russia
Tел.: (+992) 900704045
SPIN-code: 6211-3138
I. K. Fomenko
Russian Federation
Igor K. Fomenko — Dr. of Sci. (Geol.-Min.), Prof. of Department of Engineering Geology, Faculty of Hydrogeological
23, Miklukho-Maclay, Moscow 117997, Russia
Tел.: 8-916-922-45-39
SPIN-code: 9127-1871
O. N. Sirotkina
Russian Federation
Olga N. Sirotkina — Cand. of Sci. (Geol.-Min.), researcher, Department of Dynamic Geology
GSP-1, 1, Leninskie Gory, Moscow, 119991, Russia
Тел.: 8-916-552-54-55
SPIN-code: 1822-6528
References
1. Bondarik G.K., Pendin V.V., Yarg L.A. Engineering geodynamics. Moscow, KDU, 2007. 327 p. (In Russian).
2. Duong M.H., Fomenko I.K., Pendin V.V. Regional forecast of landslide hazard in the region of the halong and cam pha cities in the north-east of vietnam // Engineering Geology. 2013. No 1. P. 46—54 (In Russian).
3. Ishchuk N.R. The explanatory note to the map of glacial forms, mudslides and landslides in Tajikistan. Dushanbe, 2019. 80 p. (In Russian).
4. Ishchuk N.R., Ishchuk A.R., Saidov M.S. Results of the use of satellite images and GIS in mapping landslides in Tajikistan // Science and innovation. 2017. No. 2. C. 92—100 (In Russian, in Tajik).
5. Lomtadze V.D. Engineering geology. Engineering geodynamics. Leningrad: Nedra, 1977. 479 p. (In Russian).
6. Loskutov V.V. Geomorphology of Tajikistan. The latest stage of geological development of the territory of Tajikistan. Dushanbe: Donish, 1962. P. 189—214 (in Russian).
7. Loskutov V.V. Geomorphological map of Tajikistan scale 1:500 000. Moscow: Nedra, 1971 (In Russian).
8. Nguyen Ch.K., Fomenko I.K., Pendin V.V., Nguyen K.T. Application of the Hierarchy Analysis Method in the regional landslide hazard assessment (for example, the North-West Lao Cai region, Vietnam) // Geoinformatika. 2017. No. 3. P. 53—66 (In Russian).
9. Pendin V.V., Fomenko I.K. Methodology of landslide hazard assessment and prediction. Moscow: LENAND, 2015. 320 p. (In Russian).
10. Tikhvinskiy I.O. On the use of the landslide potential method // Development of methods for predictive assessment of the development of landslide phenomena in the conditions of mountain-folded areas of the Alpine orogen. Tbilisi: Metsniyereba, 1978. P. 52—56 (In Russian).
11. Barredo J.I., Benavides A., Hervás J., van Westen C.J. Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain // International Journal of Applied Earth Observation and Geoinformation. 2000. Vol. 2. No. 1. P. 9—23. https://doi.org/10.1016/S0303-2434(00)85022-9
12. Komac M. A Landslide susceptibility model using the Analytical Hierarchy Process method and multivariate statistics in peri-alpine Slovenia // Geomorphology. 2006. V. 74. No. 1—4. P. 17—28. https://doi.org/10.1016/j.geomorph.2005.07.005
13. Lulseged A., Hiromitsu Y. The application of GISbased logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan // Geomorphology. 2005. Vol. 65. No. 1—2. P. 15—31.
14. Saro L. Application of Likelihood Ratio and Logistic Regression Models to Landslide Susceptibility Mapping Using GIS // Environmental Management. 2004. Vol. 34. No. 2. P. 223—232. https://doi.org/10.1007/s00267-003-0077-3
15. Tarboton D.G, Pack R.T., Goodwin C.N, Prasad A. Sinmap user’s Manual. Sinmap 2: A stability index approach to terrain stability hazard mapping: Version for ArcGIS 9.x and Higher / Utah state university; Terratech consulting Ltd.; Canadian forest products Ltd.; C.N. Goodwin fluvial system consulting, 2005. P. 1—39.
Review
For citations:
Muminov B.Kh., Fomenko I.K., Sirotkina O.N. Landslide hazard assessment of the Norak region of Tadjikistan. Proceedings of higher educational establishments. Geology and Exploration. 2022;(1):50-60. (In Russ.) https://doi.org/10.32454/0016-7762-2022-64-1-50-60