Landslide Susceptibility Mapping for Yadak-Tevil Watershed (Northeast Iran), Using AHP Method

作者: Mohammad Ghafoori , Gholam Reza Lashkaripour , Naser Hafezi Moghaddas , Safura Zamani

DOI: 10.1007/978-3-642-31325-7_74

关键词: TerrainWatershedLandslideDrainagePhysical geographyGeologyGeomorphologyAnalytic hierarchy processThematic mapNatural hazardElevation

摘要: Landslides form major natural hazards in hilly terrain the area, and caused extensive damages to road, human dwellings agricultural lands. There is still a great danger of further landslides region. Therefore, it important prepare landslide susceptibility map In this study Yadak-Tevil watershed was prepared using Analytical Hierarchy Process (AHP) with help GIS. For purpose, thematic layers including inventory, lithology, distance from drainage, slope, slope aspect, elevation were main contributory factors be considered for zonation. The classified into four different classes. classes are: low 16.13 % (33.50 km2), moderate 33.34 (69.38 high 33.00 (68.68 very 17.53 (36.48 respectively. Results show that AHP method precise evaluation potential due use binary comparison affecting considering numerous at same time other prevalent method.

参考文章(17)
Chang-Jo F. Chung, Andrea G. Fabbri, Cees J. Van Westen, Multivariate Regression Analysis for Landslide Hazard Zonation Geographical information systems in assessing natural hazards selected contributions from an international workshop held in Perugia on September 20-22, 1993. (Advances in natural and technological hazards research ; 5). pp. 107- 133 ,(1995) , 10.1007/978-94-015-8404-3_7
Fausto Guzzetti, Alberto Carrara, Geographical Information Systems in Assessing Natural Hazards ,(2010)
B.F. Zaitchik, H.M. van Es, Applying a GIS slope-stability model to site-specific landslide prevention in Honduras Journal of Soil and Water Conservation. ,vol. 58, pp. 45- 53 ,(2003)
A. Carrara, M. Cardinali, R. Detti, F. Guzzetti, V. Pasqui, P. Reichenbach, GIS techniques and statistical models in evaluating landslide hazard Earth Surface Processes and Landforms. ,vol. 16, pp. 427- 445 ,(1991) , 10.1002/ESP.3290160505
Saro Lee, Joo-Hyung Ryu, Moung-Jin Lee, Joong-Sun Won, The Application of Artificial Neural Networks to Landslide Susceptibility Mapping at Janghung, Korea Mathematical Geosciences. ,vol. 38, pp. 199- 220 ,(2006) , 10.1007/S11004-005-9012-X
Alberto Carrara, Multivariate models for landslide hazard evaluation Journal of the International Association for Mathematical Geology. ,vol. 15, pp. 403- 426 ,(1983) , 10.1007/BF01031290
Lulseged Ayalew, Hiromitsu Yamagishi, Hideaki Marui, Takami Kanno, Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications Engineering Geology. ,vol. 81, pp. 432- 445 ,(2005) , 10.1016/J.ENGGEO.2005.08.004
JoséI. Barredo, Annetty Benavides, Javier Hervás, Cees J. van Westen, Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain International Journal of Applied Earth Observation and Geoinformation. ,vol. 2, pp. 9- 23 ,(2000) , 10.1016/S0303-2434(00)85022-9