Determination of Susceptibility to Occurrence of Slope Instability around the Benaravan Fault using Logistic Regression

hemmati, fariba; Mokhtari, Davood; Roostaei, Shahram; Zamani Gharehchamani, Behzad

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Volume 19, Issue 65 (6-2019)

جغرافیایی 2019, 19(65): 151-169

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Determination of Susceptibility to Occurrence of Slope Instability around the Benaravan Fault using Logistic Regression

Fariba Hemmati ^*

¹, Davood Mokhtari¹

, Shahram Roostaei¹

, Behzad Zamani Gharehchamani¹

1- Tabriz University

Abstract: (4804 Views)

At present, the question of identification, control, and prevention of human, economic, and social losses resulting from natural events such as earth tremors, floods, and earthquakes have attracted special interest in scientific-research communities and in responsible authorities of most countries around the world. In recent decades, considering the upward trend in losses and damages caused by natural events (especially landslides), prediction of damages and losses and introduction of solutions and methods for controlling and avoiding them have been addressed in earnest. This research evaluated the region around the Benaravan fault using logistic regression (logit regression or logit model) to determine regions that face slope instability hazard. Field surveys were made, previous research was reviewed, and the prevailing conditions in the region was studied first and, using the Idrisi software, it was found that the nine factors of altitude class, slope, dip direction, lithology, distance from the fault, distance from the waterway, distance from the road, land use, and vegetation influenced occurrence of slope instability. After performing slope instability hazard zonation, percentages of slope instability in each class were calculated. Results indicated that areas with high hazard zonation in the study region constituted the smallest part of it. In this research, which used logistic regression, the elevation factor with the highest coefficient was the best variable for predicting the occurrence probability of slope instability in the region. The highest incidence of slope instability occurred at high altitudes with slopes of 23-32 degrees because of gravity force.

Keywords: Susceptibility to slope instability, hazard zonation, Idrisi, logistic regression.

Full-Text [PDF 978 kb] (753 Downloads)

Type of Study: Research | Subject: Special
Received: 2016/12/28 | Accepted: 2017/10/18 | Published: 2019/06/15

References

1. رفرنس های متنی مثل خروجی کراس رف را در اینجا وارد کرده و تایید کنید - Abedini, M., Qasemyan, B., Shirzadi, A., (2014), "Landslide occurrence risk modeling by logistic regression statistical model ,case study: Kurdistan Province, Bijar Township", Geography and Development Quarterly, 37: 85-102 .[In Persian]

2. Ahmadzadeh, H., (2005), "Erosion and sedimentation modeling for Qaleh-Chai catchment basin, Ajabshir, using satellite data in GIS environment", Roostayi, Shahram, M.Sc. Thesis, Faculty of Humanities and Social Sciences, University of Tabriz.

3. Arabameri, A., Rezayi, K., Shirani, K., (2018), "Zonation and assessment of landslide hazard by using safety factor, area density and analytic hierarchy process (case study: Vank catchment area, Isfahan Province)", Geographical Space Periodical, 62: 93-116 .[In Persian].

4. Asgari, S., Qanavati, E., Shadfar, S., (2018), "Spatial analysis of landslide indices affecting sediment load of Ilam Dam Catchment area", Geographical Space Periodical, 62: 299-318. [In Persian].

5. Atkinson, P. M., Massari, R., (2011), "AutoLogistic modeling susceptibility to landsliding in the Apennines Italy", Geomorphology, 1-2: 55-64. [DOI:10.1016/j.geomorph.2011.02.001]

6. Ayalew, L., Yamagishi, H., (2005), "The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan", Geomorphology, 65 (1-2): 15-31. [In Persian] [DOI:10.1016/j.geomorph.2004.06.010]

7. Ayalew, L., Yamagishi, H., Marui, H., Kanno, T., (2005), "Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications", Engineering Geology, 4: 432-445. [DOI:10.1016/j.enggeo.2005.08.004]

8. Chen, Z., Jinfei, W., (2007), "Landslide hazard mapping using logistic regressionmodel in Mackenzie Valley Canada", Geomorphology, 1: 75-89. [DOI:10.1007/s11069-006-9061-6]

9. Dai, FC., Lee, CF., (2002), "Landslide characteristics and slope instability modeling using GIS -Hong Kong", Geomorphology, 42 (3-4): 213-228. [DOI:10.1016/S0169-555X(01)00087-3]

10. Das, I., Sahoo, S., Westen, A., Stein, A., Hack, A., (2010), "Lanslidesusceptibility assessment using logistic regression and its comparison with a rock mass classification system, along road section in the northern Himalayas (India)", Geomorphology, 114 (4): 627-637. [DOI:10.1016/j.geomorph.2009.09.023]

11. Geological Survey of Iran, (1992), "Report on geological quadrangle map of Sarab", Theran: Geological survey of Iran. [In Persian].

12. Ghazbani, F., (2002), "Environmental geology", Tehran: Tehran University Publications. [In Persian].

13. Gomez, H., Kavzoglu, T., (2005(, "Assessment of shallow landslide susceptibility using artificial neural networks in Jabonsa river basin, Venezuela", Engineering Geology, 78 (1-2): 11-27. [DOI:10.1016/j.enggeo.2004.10.004]

14. Gregory, C., Ohlmacher., J., Davis, C., (2003), "Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas", USA. Geomorphology, 69 (3-4): 331-343. [DOI:10.1016/S0013-7952(03)00069-3]

15. Karam, A., Toorani, M., (2013), "Landslide susceptibility zonation using linear regression and analytic hierarchy process methods case study: Haraz road from Roodhen to Rineh", Geographical sciences Applied Researches, 13 (28): 177-190. [In Persian].

16. Karimi Sangchini, E., Onaq, M., Saadodin, A., (2013), "Slope instability risk and damage assessment of Chehelchay catchment area - Golestan Province", Watershed management researches, 26 (1): 74-84 .[In Persian].

17. Khaledi, S., Derafshi, K., Mehrjoonejad, A., Qarechahi, S., Khaledi, S., (2012), "Assessment of the factors affecting slope instability occurrence and its zonation by using logistic regression model in GIS environment (case study: Taleqan Catchment area)", Geography and environmental hazards, 1: 65- 82. [In Persian].

18. Kordi, A., Dashti Marvvili, M., Motamed Vaziri, B., (2012), "Landslide hazard zonation by using multivariate regression (case study: Koohsar catchment area)", Journal of environmental erosion researches, 8: 49-61. [In Persian].

19. Menard, S. W., (1995), "Applied logistic regression analysis", Sage Publication, Thousand Oaks, CA.

20. Meneveau, C., Scrrnivasan, K. R., (1991), "The multifractal nature of turbulent energy dissipation", J. Fluid Mech, 224: 429-484 [DOI:10.1017/S0022112091001830]

21. Moradi, H., Dashti Marvvili, M., Ildoromi, A., (2014), "Preparing landslide hazard sensitivity map and its assessment by logistic regression", Grassland and Watershed Management Publication (Natural Resources Journal), 67 (4): 617-629. [In Persian].

22. Motavalli, S., Ismaili, R., Hoseynzadeh, M. M., (2009), "Determining sensitivity to slope instability occurrence by using logistic regression in Vaz Catchment area (Mazandaran Province)", Natural Geography of Larestaan, (5): 73-83. [In Persian].

23. Peyrovan, H., Shariat Jafari, M., (2013), "Presenting a comprehensive method for determination of erodibility of lithological units regarding the geology of Iran", Scientific-research journal of catchment engineering and management, 5o (3): 199-213. [In Persian].

24. Rahimi, H., (2011), Temporal-spatial modeling of land cover variations by a combination of Markov Chain, artificial neural network and automated cells, M.CS thesis, Faculty of Geography, University of Tabriz .[In Persian].

25. Saffari, A., Alimoradi, M., Hatami Fard, R., (2013), "Zonation for slope instability hazard by multivariate regression method using discrete data in Marbar River catchment area", Quantitative Geomorphological Researches Quarterly, 3: 59-74 .[In Persian].

26. Sedaqat, H., Motamed Vaziri, B., Kavyan, A., Moosavi Khtair, S. Z., (2012), "Preparing map of sensitivity to mass movements by logistic regression statistical model (case study: Km 45-57 of Haraz Road from Amol)", Journal of Watershed management, 19: 37-48. [In Persian]. - Shariat Jafari, M., (1996), "Landslide (fundamentals and basics of natural slope stabilities)", Tehran: Sazeh Publications .[In Persian].

27. Shirani, K., Arabameri, A., (2015), "Zonation for slope instability hazard by logistic regression method (case study: Upper Dez catchment area)", Water and Soil Sciences (Agriculture and Natural resources Sciences and techniques), 19 (72): 321-334. [In Persian]. [DOI:10.18869/acadpub.jstnar.19.72.27]

28. Shirani, K., Haji Hashemi Jazi, M., Niknejad, S. A., Rakhsha, S., (2012), "Zonation for slope instability hazard potential by analytic hierarchy process method (AHP) and multivariate regression (MR) case study: Sarab- Northern Karoon catchment area", Grassland and Watershed Management Publication (Natural Resources Journal), 65 (3): 321-334. [In Persian].

29. Van Westen, C. J., Castellanos, E., Kuriakose, S. L. (2008), "Spatial data for landslid susceptibility, hazard, and vulnerability assessment: An overview", Engineering Geology, 102 (3-4): 112-131. [In Persian]. [DOI:10.1016/j.enggeo.2008.03.010]

30. Wati, S. E., (2010), "Integrating landslide susceptibility into land capability assessment for spatial planning: a case study in Tawangmangu Sub District", Karanganyar Regency, Indonesia. M.Sc Thesis. ITC Univ. Twente Netherlands and GMU Yogyakarta.

31. Yilmaz, I., (2009), "Landslid susceptibiliry mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study Kat landslides (Tokat- Turkey)", Computers and Geosiences, 35 (6): 1125-1138. [DOI:10.1016/j.cageo.2008.08.007]

32. Qahroodi Tali, M., Qolizadeh, A., (2016), "Slope movements potential in Zangmar river catchment area (Makoo City)", Geographical Space Periodical, 55: 257-272. [In Persian

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hemmati F, Mokhtari D, Roostaei S, Zamani Gharehchamani B. Determination of Susceptibility to Occurrence of Slope Instability around the Benaravan Fault using Logistic Regression . جغرافیایی 2019; 19 (65) :151-169
URL: http://geographical-space.iau-ahar.ac.ir/article-1-2745-en.html

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