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Modelling and Assessment of Landslide Susceptibility Zonation (Case Study: Semirom Basin)

    Authors

    • ALIREZA Arabameri
    • kourosh shirani 1
    • khalil rezai 2
    • mojtaba yamani 3

    1 esfahan

    2 kharazmi university

    3 tehran university

,

Document Type : Research Paper

10.22059/jrwm.2017.238368.1152
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Abstract

landslides situation recognized using interpreting the aerial photos and extensive field measurements. Among total number of 200 identified landslides, %70 (140 landslides) of them have been utilized for model executing and %30 (60 landslides) of them for verification randomly. This research criteria including geomorphological parameters, hydrological parameters , geological parameters and environmental parameters . The Shannon’s entropy model have been used for defining the criteria weight and Area density model for defining classes weight, then the regionalization map obtained by combining the criteria and classes weight in ArcGIS 10.2 software environment and classified to 5 classes very little, little , moderate, high and very high according to natural fractures. The Roc curve have been used for model verification. The clerical accuracy results indicated that the compound model have the high accuracy 0.877 (87.7%) for identifying the regions susceptible to landslide. According to the results, slope length, slope and topography wetness index have had the most effect in occurring the landslide. Among total area of region (168547 hectar), 27.39% (46165.02 hectar) have been placed in high and very high sensitive. The prepared regionalization map can be useful for planning land use and building the infrastructure installations such as road.

Keywords

  • landslide
  • Regionalization
  • compound method
  • Verification
  • ROC Curve
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Journal of Range and Watershed Managment
Volume 70, Issue 4
January 2018
Pages 921-939
Files
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  • PDF 1.83 M
History
  • Receive Date: 22 July 2017
  • Revise Date: 14 February 2018
  • Accept Date: 01 November 2017
  • First Publish Date: 22 December 2017
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How to cite
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Statistics
  • Article View: 263
  • PDF Download: 277

APA

Arabameri, A., shirani, K., rezai, K., & yamani, M. (2017). Modelling and Assessment of Landslide Susceptibility Zonation (Case Study: Semirom Basin). Journal of Range and Watershed Managment, 70(4), 921-939. doi: 10.22059/jrwm.2017.238368.1152

MLA

ALIREZA Arabameri; kourosh shirani; khalil rezai; mojtaba yamani. "Modelling and Assessment of Landslide Susceptibility Zonation (Case Study: Semirom Basin)". Journal of Range and Watershed Managment, 70, 4, 2017, 921-939. doi: 10.22059/jrwm.2017.238368.1152

HARVARD

Arabameri, A., shirani, K., rezai, K., yamani, M. (2017). 'Modelling and Assessment of Landslide Susceptibility Zonation (Case Study: Semirom Basin)', Journal of Range and Watershed Managment, 70(4), pp. 921-939. doi: 10.22059/jrwm.2017.238368.1152

VANCOUVER

Arabameri, A., shirani, K., rezai, K., yamani, M. Modelling and Assessment of Landslide Susceptibility Zonation (Case Study: Semirom Basin). Journal of Range and Watershed Managment, 2017; 70(4): 921-939. doi: 10.22059/jrwm.2017.238368.1152

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