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:: Volume 18, Issue 64 (3-2019) ::
جغرافیایی 2019, 18(64): 21-40 Back to browse issues page
Identification and zonation landslide prone areas using object oriented method and conditional probability theory (Bayesian theorem) Case Study: Ahar drainage basin South boundary (From Nasirabad to Sattar Khan dam)
Musa Abedini Dr 1, Shahram Roostaei Pro2, Mohammad hossein Fathi Mr1
2- tabriz university
Abstract:   (1459 Views)

Mass movements and landslides are considered the most destructive natural hazards. The study predicts landslide location using conditional probability theory (Bayesian theorem), on the southern edge of the Ahar drainage basin (From Nasirabad to Sattar Khan dam),, on the landslide occurred in the past by the object-oriented approach extracting and identifying been conducted. Using Bayesian probability theory correlation between parameters and landslide areas (two-thirds of landslide areas) to determine the weight of all categories of parameters were obtained. According to the map obtained by any of the parameters weight class, class of high silt old alluvial terraces are in layers, average pasture land in between classes, directions north and northwest, steep grade 5-25 the distance of 270-125 meters from the river greatest impact on weight and landslides in the area. The accuracy of landslide susceptibility maps using a third (12 points slip) landslide areas were evaluated. The result showed that the model with the predictability and kappa coefficient 0/93   and 0/945 percent of high and very high risk of landslides in class acceptable accuracy in evaluating and landslide susceptibility mapping.

Keywords: Landslide, the theory of conditional probability, object-oriented method, the weight of evidence.
Full-Text [PDF 1248 kb]   (444 Downloads)    
Type of Study: Research | Subject: Special
Received: 2016/04/23 | Accepted: 2016/06/14 | Published: 2019/03/15
1. Ahmadi, A., Kamrani Delir, H., Sadeghi, M., (2010), "Landslide hazard zonation using analytical hierarchy process (AHP), Case study of Chalav Amol watershed", Journal of Geographic Society of Iran, 27: 203-181. [In Persian].
2. Mir Ahmadabadi, A., Rahmati, M., (2015), "Application of quantitative Geomorphometric indicators for identification of landslide susceptible zones using the SVM model", Quantitative Geomorphology Researches, 4 (3): 213-197. [In Persian].
3. Pourghasemi, H., Moradi, H., Mohammadi, M., Mostafa Zadeh R., Goli, J., (2012), "Landslide hazard zonation using Bashin theory", Journal of Agricultural Science and Technology", Water and Soil Science, 60: 121-109. [In Persian].
4. Pour Hashemi, S., Amirahmadi, Abou-yaghasem, Akbari, E., (2015), "Selection of a suitable model among two-way statistical methods. Case study: Baghei watershed", Geographical studies of arid regions, for landslide hazard zonation in GIS environment, 15: 89-71. [In Persian].
5. Dalal Oghli , A., Fathi, M. H., Khoshdel, K., (2015), "Application of new multi-attribute decision making methods for estimating the flood potential with emphasis on geomorphic factors (Case study: River basin of Le Chay river)", Journal of Space Science and Research Geographical, 17 )59(: 82-67. [In Persian].
6. Hosseinzadeh, M. M., Soroti, M. R., Mansouri, A., Mirbagheri, B., Khazari, S., (2009), "Risk assessment of mass movements using logistic regression model", Iranian Geological Quarterly, 3: 27-37. [In Persian].
7. Roostaei, S., Mokhtari, D., Hosseini, Z., Hosseini, M., Atmani, H., (2015), "Investigating the potential of landslide occurrence in the valley of the Meymeh river in Ilam province, by ANP network analysis", Hydrogeomorphology, 4: 123-101. [In Persian].
8. Abedini, M., Fathi, M. H., (2014), "Zoning of Landslide risk sensitivity in Khalkhal Chay watershed using multi-criterion models", Quantitative Geomorphology Researches, 2 (4): 85-71. [In Persian].
9. Abedini, M., Fathi, M. H., Beheshti Javid, I., (2015), "Neotectonic activity analysis of Gechi Valley river basin using geomorphic indicators", Geographical Space Scientific-Research Quarterly, 52: 249-223. [In Persian].
10. Fatemi Aghda, M., Ghomiyan, J., Akhil Ashgholi, F., (2003), "Evaluation of the efficiency of statistical methods in determination of landslide risk potential", Journal of Geosciences, 48-47: 11-25 [In Persian].
11. Gharei, H. R., Bahman Bahloli, A. Shariat Jafari, M., (2011), "Preparation of landslide sensitivity map using hierarchical analysis and two-turnaround statistical model in Alborz dam reservoir", Journal of Earth Sciences, 21 (81): 93-100. [In Persian].
12. Niazi, Y., Exclusive, M. R., Talebi, A., Arkhi, S., Mokhtari, M. H., (2010), "Estimation of the performance of a bifurcate statistical model in predicting landslide hazard in the Sedilam basin", Iranian Journal of Watershed Engineering Sciences, 4 (10): 20-9. [In Persian].
13. Yamani, M., Ahmad Abadi, A., Zare, G. R., (2012), "Evaluation of the efficiency of artificial intelligence techniques in landslide studies with emphasis on SVM algorithm (Case study: Darakeh basin)", Journal of Geography and Environmental Risks, 1 (3): 102-119. [In Persian].
14. Barbieri, G., Cambuli, P., (2009), "The weight of evidence statistical method in landslide susceptibility mapping of the Rio Pardu Valley (Sardinia, Italy), In: Anderssen", R. S., Braddock, R. D., Newham, L.T. H., (Eds.), 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and NewZealand and International Association for Mathematics and Computers in Simulation, July 2009, pp 2658-2664.
15. Blaschke, T.,) 2009(, "Object based image analysis for remote sensing", ISPRS Journal of Photogrammetry and Remote Sensing, 34: 10-21.] on line[: www.Elsevier.com/locate/isprsjprs .
16. Carter Bonham, G. F., Agterberg, F. P., Wright, D. F., (1988), "Integration of geological datasets for gold exploration in Nova Scotia", Photogrammetry and Remote Sensing, 54: 1585-1592.
17. Carter Bonham, G. F., Agterberg, F. P., Wright, D. F., (1989), "Weights of evidence modelling: a new approach to mapping mineral potential. In: Agterberg, F. P., Bonham-Carter, G. F., (Eds.)", Statistical applications in the Earth Sciences: Geological Survey of Canada, 89) 9(: 171-183.
18. Chong, X., Lingling, S., Genlong, W., (2016), "Soft computing in assessment of earthquake-triggered landslide susceptibility", Environ Earth Sci, 75: 767-781. [DOI:10.1007/s12665-016-5576-7]
19. Chau, K.T., Sze, Y. L., Fung, W.Y., Wong, E. L., Fong, L. C. P., (2003), "Landslide hazard analysis for Hong Kong using landslide inventory and GIS K.T., Computers & Geosciences, 30: 429-443. [DOI:10.1016/j.cageo.2003.08.013]
20. Demir, G., Aytekin, M., Akgum, A., ( 2014(, "Landslide susceptibility mapping by frequency ratio and logistic regression methods: an example from Niksar- Resadiye (Tokat, Turkey)". Arab. J. Geosci. ]on line[: http://dx.doi.org/10.
21. Denison, D. G.T., Holmes, C. C., Mallick, B. K., Smith, A. F. M., ( 2002), "Bayesian methods for nonlinear classification and regression. john Wiley & Sons: Chichester.
22. Fathi, M. H., Khohdel, K., Shoreh kandi, A., Ashrafi, feini, Z., Khaliji, M. A., (2015) "The combination of spectral and spatial data in zoning of landslide susceptibility (Case study: Sangorchay reservoir)", Journal of Biodiversity and Environmental Sciences (JBES). 6 (2): 515-527.
23. Gorum, T., Gonencgil, B., Gokceoglu, C., Nefeslioglu, H. A., (2008), "Implementation of reconstructed geomorpholog icunitsin landslide susceptibility mapping: the Melen Gorge (NWTurkey)", Natural Hazards, (46): 323-351. [DOI:10.1007/s11069-007-9190-6]
24. Grabs, T., Seibert, J., Laudon, H., (2007), "Modelling spatial patterns of saturated areas: a comparison of the topographic wetness index and a distributed model", Journal of Hydrology, 373 (1): 15-23.
25. Gruber, S., Huggel, C., Pike, R., (2009), "Modeling mass movements and landslide susceptibility", Developments in Soil Science, 33: 527-550 [DOI:10.1016/S0166-2481(08)00023-8]
26. Mathew, J., Jha, V. K., Rawat, G. S., (2007(, "Weights of evidence modeling for landslide hazard zonation mapping in part of Bhagirathi valley, Uttarakhand: Current Sci, 92 (5): 628-638.
27. Abedini, M., Fathi, M. H., (2016), "Javid; Neotectonical Activity Analysis of Gachi Daraci Valley River Basin Using Geomorphic Indicators; Quarterly", Journal of Geographical Space, 52; 223-249.
28. Mohammady, M., Pourghasemi, H. R., Pradhan, B., (2012), "Landslide susceptibility mapping at Golestan province, Iran: Acomparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models", Journal of Asian Earth Sciences, 61: 221-236. [DOI:10.1016/j.jseaes.2012.10.005]
29. Moore, I. D., Burch, G. J., (1986), "Sediment transport capacity of sheet and rill flow: application of unit stream power theory", Water Resource, 22: 1350-1360. [DOI:10.1029/WR022i008p01350]
30. Nefeslioglu, H. A., Duman, T.Y., Duemaz, S., (2008), "Landslide susceptibility mapping for a part of tectonic Kelkit valley (Eastern Black Sea region of Turkey)", Geomorphology, (94): 401-418. [DOI:10.1016/j.geomorph.2006.10.036]
31. Paoletti, V., Tarallo, D., Matano, F., Rapolla A., (2013), "Level-2 susceptibility zoning on seismicinduced landslides: An application to Sannio and Irpinia areas, Southern Italy", Physics and Chemistry of the Earth, 63: 147-159. [DOI:10.1016/j.pce.2013.02.002]
32. Piacentinia, D., Troiani, F., Soldati, M., Notarnicola, C., Savelli, D., Schneiderbauer, S., Strada, C., (2012), "Statistical analysis for assessing shallow-landslide susceptibility in South Tyrol (south-eastern Alps, Italy)", Geomorphology, 151: 196-206. [DOI:10.1016/j.geomorph.2012.02.003]
33. Poli, S., Sterlacchini, S., (2007), "Landslide representation strategies in susceptibility Studies using weights-of-evidence modeling technique", Natural Resources Research, 16: 121-134. [DOI:10.1007/s11053-007-9043-8]
34. Sarolee, K. M, (2001), "Statistical analysis of landslide susceptibility at Yonging, Korea", Environmental Geology, 40: 1095-1113 [DOI:10.1007/s002540100310]
35. Schmidt, F., Persson, A.,) 2003(, "Comparison of DEM data capture and topographic wetness indices", Precision Agriculture, 4: 179-192. [DOI:10.1023/A:1024509322709]
36. Sidle, R. C., Ochiai, H., (2006), "Landslides: processes, prediction, and land use", Water Resource Monograph, 18: 170-187. [DOI:10.1029/WM018]
37. Sorensen, R., Zinko, U., Seibert, J.,) 2006(, "On the calculation of the topographic wetnessindex: evaluation of different methods based on field observations", Hydrology and Earth System Sciences Discussions, 2: 1807-1834. [DOI:10.5194/hessd-2-1807-2005]
38. Vittorio De Blasio, F., (2011), "Introduction to the physics of landslides", Springer: "Berline. [DOI:10.1007/978-94-007-1122-8]
39. Wilson, J. P., Gallant, J. C., )2000(, "Digital terrain analysis. In: Wilson", J. P., Gallant, J. C., (Eds.), Terrain Analysis, John Wiley & Sons, NewYork.
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Abedini M, roostaei S, Fathi M H. Identification and zonation landslide prone areas using object oriented method and conditional probability theory (Bayesian theorem) Case Study: Ahar drainage basin South boundary (From Nasirabad to Sattar Khan dam). جغرافیایی. 2019; 18 (64) :21-40
URL: http://geographical-space.iau-ahar.ac.ir/article-1-2339-en.html

Volume 18, Issue 64 (3-2019) Back to browse issues page
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