Journal of Range and Watershed Managment

Comparison of Effective Factors on Landslide Hazard in Two Spatial Scales through Multiple Regressions(Case Study: Taleghan Watershed)

Document Type : Research Paper

Authors

Elham Meshkati 1
Hassan Ahmadi 2
Aliakbar Nazari Samani 3
M.H Davoodi 4

1 M.Sc. Student of Watershed management, Islamic Azad University, Science and Research Branch. Tehran, IR.IRAN

2 Professor of Faculty of Natural Resources, Islamic Azad University, Science and Research Branch-Tehran, IR.IRAN

3 Associated Professor, Faculty of Natural Resources, University of Tehran., IR.IRAN

4 Assistant Professor, Soil Conservation and Watershed Management Research Institute, IR.IRAN

https://doi.org/10.22059/jrwm.2016.61744
Abstract
Landslide occurs inevitably and naturally in many slopes due to sensitive formations, moisture, and
other factors. Taleghan watershed is prone to landslide due to the presence of huge Miocene marl
masses. After construction of Taleghan reservoir dam, moisture and ecological condition of the
region changed. In this paper, factors impacting upon landslide hazard (slope, aspect, hypsometry,
geology, land use, distance to road, distance to lake) were studied and their role and importance on
this phenomenon were verified in a large (maximum distance of 1500 meter from lake) and a small
(maximum distance of 450 meter from lake) spatial scale. Thus, GIS maps of the above mentioned
parameters were provided using satellite and aerial images and field activities. All maps were
crossed with a resolution of 100m*100m. It was found out that the distance to the lake didn’t
influence upon landslide in a large spatial scale but it falls effective as the distance to the lake
reduces. In fact lake has a local effect and mostly influences at maximum 200 meter distance.

Keywords

landslide
multi-variate regression
hazard zonation
Taleghan
Journal of Range and Watershed Managment
Volume 69, Issue 1
Spring 2016
Pages 201-210

  • Receive Date 23 April 2016
  • Revise Date 02 July 2016
  • Accept Date 30 May 2017
  • Publish Date 21 May 2016

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