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Landslide susceptibility analysis with a bivariate approach and GIS in Northern Iran
Authors:Ataollah Kelarestaghi  Hassan Ahmadi
Institution:1. College of Natural resources, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
3. College of Natural Resources, P.O. Box 737, Sari, Iran
2. College of Natural Resources, University of Tehran, P.O. Box 4111, Karaj, Iran
Abstract:Globally, landslides cause hundreds of billions of dollars in damage and hundreds of thousands of deaths and injuries each year. A landslide susceptibility map describes areas where landslides are likely to occur in the future by correlating some of the principal factors that contribute to landslides with the past distribution of landslides. A case study is conducted in the mountainous northern Iran. In this study, a landslide susceptibility map of the study area was prepared using bivariate method with the help of the geographic information system. Area density (bivariate) method was used to weight landslide-influencing data layers. An overlay analysis is carried out by evaluating the layers obtained according to their weight and the landslide susceptibility map is produced. The study area was classified into five hazard classes: very low, low, moderate, high, and very high. The percentage distribution of landslide susceptibility degrees was calculated. It was found that about 26% of the study area is classified as very high and high hazard classes.
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