Spatial analysis of lithology in the occurrence of landslides in the eastern Alamut basin (case study: Mo’alem-Kelayeh Basin)

Jafari, Gholam Hassan; Barati, Zinab

doi:10.22034/hyd.2024.61470.1738

Document Type : پژوهشی

Authors

Gholam hassan jafari ¹
zinab barati ²

¹ Faculty of Social Sciences, University of Zanjan, Zanjan, Iran

² Ph.D student of Geomorphology, Tehran University, Tehran, Iran

https://doi.org/10.22034/hyd.2024.61470.1738

Abstract

The analysis of some geological features and structures can be used to determine Quaternary developments. Analyzing the types of landslides, their density, and scale is the key to identify the evolution of landforms. Based on this, the current research was carried out with the aim of spatial analysis of landslides that occurred in different lithologies of Mo’alem-Kelayeh basin, a part of eastern Alamut basin, between the longitudes 50°26'00″ to 50°31'20″ and the latitude 36°22'00″ to 36°30'00″, based on topographical, geological conditions, vegetation, the condition of waterways, and the proximity of different rocks in the area. According to the results, the Karaj, Rute, Shamshek and Neogene and destructive sediments are the most erodible formations in the studied area, which are the most important factors involved in the occurrence of mass movements on a micro and macro scale under the Mo’alem-Kelayeh basin. The nonresistant lithology is more extensive in the geographical levels downstream of the rivers. In such areas, in addition to the loosening of the lithology in wide sections, the material and energy flowing in the river also increases, if due to the lower slope of the slopes, the effect of the river on movements of the slopes becomes more limited. In the terrestrial levels close to the ridge line, matter and energy are less and lithology is more resistant; But due to greater slope of the slopes and the involvement of physical weathering in the porosity of rocks, the effect of river on the occurrence of surface slope movements increases.

Keywords

Main Subjects

Geomorphology

References

Aghayary, L., Asghari Saraskanrood, S., & Zeynali, B. (2024). Identification and zoning of landslide prone areas in Germi city. Hydrogeomorphology, (), -. Doi: 10.22034/hyd.2024.58703.1709 [In Persian]

Arbanas, S. M., & Arbanas, Ž. (2015). Landslides: A guide to researching landslide phenomena and processes. In Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications (pp. 1393-1428). IGI Global. DOI: 10.4018/978-1-4666-8473-7.ch070

Ayalew, L., Yamagishi, H., & Ugawa, N. (2004). Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides, 1, pp 73-81. https://doi.org/10.1007/s10346-003-0006-9

Beheshtirad, M., Feiznia, S., Salajegheh, A., Ahmadi, H. (2009). Investigating applicability of certainty factor landslide hazard zonation model (a case study Mo’alem-Kelayeh h watershed). Journal of physical geography, 2(5), pp 19-28. [In Persian] https://sid.ir/paper/185094/en

Bommer, J. J., & Rodrı́guez, C. E. (2002). Earthquake-induced landslides in Central America. Engineering Geology, 63(3-4), pp 189-220.

Chen, W., Zhang, S., Li, R., & Shahabi, H. (2018). Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling. Science of the total environment, 644, pp 1006-1018. https://doi.org/10.1016/j.scitotenv.2018.06.389

Chorley, Richard J.; Shum, Stanley E; Soden, David A. (2012). Geomorphology, volume three: range, watercourse, coastal and wind processes. Translated by Ebrahimi Moghimi and Ahmed Motamed. Tehran: Samit Publications. 455 p. [In Persian]

Cruden, D. (1991). A simple definition of a landslide. Bulletin of Engineering Geology & the Environment, 43(1).‏

Guerra, A. J. T., Fullen, M. A., Jorge, M. D. C. O., Bezerra, J. F. R., & Shokr, M. S. (2017). Slope processes, mass movement and soil erosion: A review. Pedosphere, 27(1), 27-41.‏ http://www.cnki.net/kcms/detail/32.1315.P.20160627.1639.038.html

Guzzetti F, Mondini, A C, Cardinali M, Fiorucci F, Santangelo M, Chang K T. (2012). Landslide inventory maps: new tools for an old problem. Earth Science Reviews. 112: 42-66. http://dx.doi.org/10.1016/j.earscirev.2012.02.001

Hijazi, A., Rezaei Moghadam, M., H., & Naseri, A. (2020). Landslide hazard zoning using artificial neural network models and TOPSIS downstream of Sanandaj Dam, Hydrogeomorphology Journal, 7(24), 65-82. [in persian].

Jafari, G. H., & Khodaei, R. (2023). Morphometry and reconstruction of the Moallem-Kalaye landslide. Journal of Natural Environmental Hazards, 12(35), 59-78. [In Persian] DOI: 10.22111/jneh.2022.40129.1849

Jamalabadi, J., Safari, F., Borabadi, A., & Al-Mohammad, M. (2021). Identification and zoning of susceptible area of landslide in the Javroud rural district. Emergency Management, 10(2), pp 47-55. [In Persian]

Kayani, Sh., Muzazi, A., Gholam Nia, Kh., Ainali, G. (2019). Evaluating the effectiveness of the logistic regression model in landslide risk zoning (case study: Hasht Chin catchment area of Ardabil province).15th National conference on Watershed Management Sciences and Engineering of Iran, Sari. [In Persian] https://civilica.com/doc/1255420

Khazaei, N., Darrafshi, S., Sheikhzadeh Shandiz, R., Bagheri Jamkhane, Z. (2021). Investigation of landslide accident points using GIS in Mazandaran province. National Conference on Architecture, Civil Engineering, Urban Development and Horizons of Islamic Art in the Second Step Statement of the Revolution, Tabriz. [In Persian] https://civilica.com/doc/1251957

Khubulava, I., & Chakhaia, G. (2018). The forecast of stability of the landslide slope existing in the River Gldaniskhevi Valley. Annals of Agrarian Science, 16(3), pp 321-323. https://doi.org/10.1016/j.aasci.2018.05.008

Kiani, T., Hydrad, N., Parastoo, G.A. (2020). Active tectonics of the Roudbar region: with special reference to the landslides of the area. Journal of Spatial Analysis Environmental Hazards 2020; 7 (1), pp 65-88. [In Persian] URL: http://jsaeh.khu.ac.ir/article-1-2780-en.html

McColl, S. T. (2022). Landslide causes and triggers. In Landslide hazards, risks, and disasters (pp. 13-41). Elsevier.

Mosaffaie J, Salehpour Jam A, Tabatabaei M. (2022) Landslide risk assessment and management in Shahroud watershed of Qazvin province. Journal of Spatial Analysis Environmental Hazards. 9 (3): 199-212. [In Persian]
URL: http://jsaeh.khu.ac.ir/article-1-3336-fa.html

Ogila, W. A. M. (2021). Analysis and assessment of slope instability along international mountainous road in North Africa. Natural hazards, 106(3), 2479-2517. https://doi.org/10.1007/s11069-021-04552-9

Popescu, M. E. (2002, July). Landslide causal factors and landslide remediatial options. In 3rd international conference on landslides, slope stability and safety of infra-structures (pp. 61-81). CI-Premier PTE LTD Singapore.

Pradhan, S. P., Vishal, V., & Singh, T. N. (Eds.). (2019). Landslides: theory, practice and modelling. Springer International Publishing. https://doi.org/10.1007/978-3-319-77377-3

Prasanna, J., Gnanatheepan, W. (2018). Study on housing units locate in very high and high landslide hazard prone areas of Hali-Ela divisional secretariat division, Sri Lanka. Procedia engineering, 212, pp 22-29. https://doi.org/10.1016/j.proeng.2018.01.004

Rajabi, M., Rezaei Moghadam, M. H., Takzare, A. (2022). Quantitative Analysis of Landslide Risk and Its Zoning in Alamut River Basin Using Logistic Regression Method. Geographic Space 22(77), pp 1-14. [In Persian] URL: http://geographical-space.iau-ahar.ac.ir/article-1-3407-fa.html

Ramezani Gurabi, B., Ebrahimi, H. (2010). Landslide and its stabilization. Environmental based territorial planning (Amayesh), 2(7), pp 129-139. [In Persian] https://sid.ir/paper/130428/en

Sasanpour, F., Mohammadi, N. (2021). Management of natural landslide risk reduction using regional statistics, Tehran province. The second international conference and the fifth national conference on protection of natural resources and environment, Ardabil. [In Persian] https://elmnet.ir/doc/470124460-74691

Seddighi, H., & Ghasemi, A. R. (2023). Landslide risk modeling using logistics regression model (Case study: Chaharmahal and Bakhtiari province). Researches in Earth Sciences, 14(4), 42-60. [In Persian] doi: 10.48308/esrj.2023.104053

Soori, S., Lashkaripour, G., Ghafoori, M., & Farhadi, T. (2013). Prioritization of landslide effective factors and its hazard mapping using AHP model (A case study: Keshvari watershed). Scientific Quarterly Journal of Iranian Association of Engineering Geology, 6(Number 1 & 2), pp 1-12. [In Persian] https://doi.org/10.22071/gsj.2010.57315

Wang, X., & Niu, R. (2010). Landslide intelligent prediction using object-oriented method. Soil Dynamics and Earthquake Engineering, 30(12), pp 1478-1486.

Warren, W. H. (1988). Action modes and laws of control for the visual guidance of action. In Advances in psychology (Vol. 50, pp. 339-379). North-Holland. https://doi.org/10.1016/S0166-4115(08)62564-9

Spatial analysis of lithology in the occurrence of landslides in the eastern Alamut basin (case study: Mo’alem-Kelayeh Basin)

References

References

Volume 11, Issue 40 - Serial Number 40October 2024Pages 142-124

Volume 11, Issue 40 - Serial Number 40
October 2024
Pages 142-124