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Landslide susceptibility analysis with a bivariate approach and GIS in Northern Iran

تحليل قابلية الانزلاق الأرضي بطرق مزدوجة التغير لنظم المعلومات الجغرافية في شمال إيران

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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.

الملخص العربى:-

عالميا، تسببت الإنزلاقات الأرضية في خسائر فادحة كل عام سواء أكانت هذه الخسائر مادية تصل إلى مئات البلايين من الدولارات أوخسائر بشرية تصل إلى مئات الألاف من الموتى والجرحى. بواسطة المضاهاة بين العوامل التي تسهم في إحداث الإنزلاق الأرضي وتوزيع أماكن حدوثها أمكن عمل خريطة توضح المساحات المعرضة للإنزلاقات الأرضية في المستقبل. تم تطبيق هذه الدراسة على جبال شمال إيران. في هذه الدراسة تم تجهيز خريطة قابلية الإنزلاق الأرضي باستخدام طرق مزدوجة التغير بمساعدة نظام المعلومات الجغرافية. طريقة الكثافة الصخرية مستخدمة كمقياس لوزن إنسياب الإنزلاق الأرضي للطبقات. تحليل الغطاء الصخري العلوي يساعد في تقييم الطبقات وفقا للوزن وخريطة قابلية الإنزلاق الأرضي. المساحة المدروسة مصنفة في خمس فئات من الخطورة هي: منخفضة جدا، منخفضة، متوسطة، عالية وعالية جدا. تم حساب نسبة توزيع درجات قابلية الإنزلاق الأرضي. حيث وصلت في المساحة المدروسة إلى 26% وتتراوح بين فئتي الخطورة العالية والعالية جدا.

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Authors and Affiliations

  1. College of Natural resources, Sari Agricultural Sciences and Natural Resources University, Sari, Iran

    Ataollah Kelarestaghi

  2. College of Natural Resources, University of Tehran, P.O. Box 4111, Karaj, Iran

    Hassan Ahmadi

  3. College of Natural Resources, P.O. Box 737, Sari, Iran

    Ataollah Kelarestaghi

Authors
  1. Ataollah Kelarestaghi
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  2. Hassan Ahmadi
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Correspondence to Ataollah Kelarestaghi.

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Kelarestaghi, A., Ahmadi, H. Landslide susceptibility analysis with a bivariate approach and GIS in Northern Iran. Arab J Geosci 2, 95–101 (2009). https://doi.org/10.1007/s12517-008-0022-0

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  • DOI: https://doi.org/10.1007/s12517-008-0022-0

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