GeoRisk World, Vol. XVII, No. 4/2023
Tarikhazer S.A.
Tarikhazer S.A., 2023. Study of the Shamakhi district (Azerbaijan) territory susceptibility to landslide processes. GeoRisk World, Vol. XVII, No. 4, pp. 68–79, https://doi.org/10.25296/1997-8669-2023-17-4-68-79.
In Azerbaijan, landslides are the most dangerous natural hazards causing economic damage and human casualties. In addition, they are one of the factors of debris flow formation. However, the study of landslide impact on debris flow hazard in Azerbaijan has not received sufficient attention so far. The objectives of this work were to identify the main causes of formation and distribution of landslide processes, to assess the conditions of landslide formation and susceptibility of the study area to landslide processes, which are the main source of material for debris flows. To assess the susceptibility of the study area to landslide processes and to map potential landslide formation, an integrated indicator of the susceptibility of the territory to landslide processes, obtained by the weighted sum method, was used. On the example of debris flow-prone Shamakhх Dхstrхct of Azerbaijan (southeastern foothills of the Greater Caucasus), in order to reduce damage from landslides, a comprehensive study of the factors responsible for the formation of landslides was carried out, taking into account the mechanism of their formation: hypsometric position, slope steepness, horizontal and vertical relief dissection, soils’ lithology, distance from faults, amount of precipitation, altitudinal landscapes. Then the identified values of landslide susceptibility and the possible occurrence of landslides as the main source of the material for debris flows were analyzed. Using ArcGIS software, the study area was divided into three zones according to the level of landslide susceptibility: low, moderate, and high. As a result, it was found that most of the Shamakhх Dхstrхct (73.68%) is characterized by high susceptibility to landslides. The zone with moderate susceptibility occupies 11.78% and with low susceptibility — 14.54% of the territory.
1. Budagov B.A.,1993. Gravitational morphosculpture. In N.M. Shirinov (ed.), Relief of Azerbaijan. Elm, Baku, pp. 22–28. (in Russian)
2. Mammadov S.G., Tarikhazer S.A., 2023. Application of quantitative methods for the assessment of landslide susceptibility of the Girdimanchay basin. Izvestiya Tula State University. Earth Sciences, Vol. 1, pp. 38–67, https://doi.org/10.46689/2218-5194-2023-1-1-38-67. (in Russian)
3. Pendin V.V., Fomenko I.K., 2015. Methodology for assessing and forecasting landslide hazard. Lenand, Moscow. (in Russian)
4. Tarikhazer S.A., 2024. Catalogue of the landslide events of Azerbaijan. MAKS press, Moscow (in press). (in Russian)
5. Fomenko I.K., Pendin V.V., Nguyen C.K., 2017. Assessment of damage, hazard, and risk from landslide processes (a case of North-West Vietnam). Prospects for development of engineering survey in Russian Federation, Materials of the 13th All-Russian Conference of prospecting organizations, Moscow, 2017, pp. 27–34.
6. Kharchenko S.V., Shvarev S.V., 2020. Forecastıng of landslıde hazards ın the vıcınıty of Krasnaya Polyana basıng on lınear dıscrımınatory analysıs. Vestnik Moskovskogo universiteta. Seriya 5, Geografiya, No. 3. pp. 22–33. (in Russian)
7. Arabameri A., Pradhan B., Rezaei K., Lee C.-W., 2019. Assessment of landslide susceptibility using statistical- and artificial intelligence-based FR-RF integrated model and multiresolution DEMs. Remote Sensing, Vol. 11, Issue 9, ID 999, https://doi.org/10.3390/rs11090999.
8. Cantarino I., Carrion M.A., Goerlich F., Martinez Ibañez V., 2019. A ROC analysis-based classification method for landslide susceptibility maps. Landslides, Vol. 16, Issue 2, pp. 265–282, https://doi.org/10.1007/s10346-018-1063-4.
9. Guzzetti F., Reichenbach P., Cardinali M., Galli M., Ardizzone F., 2005. Probabilistic landslide hazard assessment at the basin scale. Geomorphology, Vol. 72, Issues 1–4, pp. 272–299, https://doi.org/10.1016/j.geomorph.2005.06.002.
10. Lee S., 2004. Application of likelihood ratio and logistic regression models to landslide susceptibility mapping using GIS. Environmental Management, Vol. 34, No. 2, рp. 223–232, https://doi.org/10.1007/s00267-003-0077-3.
11. Lee S., Pradhan B., 2007. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Landslides, Vol. 4, Issue 1, pp. 33–41, https://doi.org/10.1007/s10346-006-0047-y.
12. Mandal S., Mondal S., 2019. Statistical approaches for landslide susceptibility assessment and prediction. Springer International Publishing, Cham, Switzerland.
13. Nahayo L., Mupenzi C., Habiyaremye G., Kalisa E., Udahogora M., Nzabarinda V., Li L., 2019. Landslides hazard mapping in Rwanda using bivariate statistical index method. Environmental Engineering Science, Vol. 36, No. 8, pp. 892–902, https://doi.org/10.1089/ees.2018.0493.
14. Oh H.-J., Lee S., 2010. Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea. Environmental Earth Science, Vol. 64, Issue 2, pp. 395–409, https://doi.org/10.1007/s12665-010-0864-0.
15. Roccati A., Paliaga G., Luino F., Faccini F., Turconi L., 2021. GIS-based landslide susceptibility mapping for land use planning and risk assessment. Land, Vol. 10, Issue 2, ID 162, https://doi.org/10.3390/land10020162.
16. Shano L., Raghuvanshi T.K., Meten M., 2020. Landslide susceptibility evaluation and hazard zonation techniques — a review. Geoenvironmental Disasters, Vol. 7, Issue 1, ID 18, https://doi.org/10.1186/s40677-020-00152-0.
17. Tarikhazer S.A., 2020. The geographical prerequisites for the identification and prevention of dangerous geomorphological processes in the mountain geosystems of the Alpine-Himalayan belt (on the example of the Major Caucasus of Azerbaijan). Journal of Geology, Geography and Geoecology, Vol. 29, No. 1, pp. 176–187, https://doi.org/10.15421/112016.
18. Tarikhazer S.A., 2022. Assessment of ecological-geomorphological strength and risk of geosystems of the north-eastern slope of the Great Caucasus (within Azerbaijan). Visnyk of V.N. Karazin Kharkiv National University. Series Geology, Geography, No. 56, pp. 264–276, https://doi.org/10.26565/2410-7360-2022-56-20.
19. Tarikhazer S.A., Mammadov S.G., Hamidova Z.А., 2023. Application of quantitative methods for the assessment of landslide susceptibility of the Aghsuchay river basin. Visnyk of V.N. Karazin Kharkiv National University. Series Geology, Geography, No. 58,
pp. 257–273, https://doi.org/10.26565/2410-7360-2023-58-20.
20. Tarikhazer S.A., Mardanov I.I., 2020. Indicators of ecogeomorphological risk for the purpose of sustainable development of mountain territories. News of the Academy of Sciences of the Republic of Kazakhstan. Series of Geology and Technical Sciences, No. 2(452), pp. 204–216, https://doi.org/10.32014/2022.2518-170X.170.
STARA A. TARIKHAZER
Institute of Geography named after acad. H.A. Aliyev, Ministry of Science and Education of the Republic of Azerbaijan; Baku, Azerbaijan; kerimov17@gmail.com
Address: Bld. 115, H. Javid Ave, AZ1143, Baku, Azerbaijan
