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Information Journal Paper

Title

Landslide Hazard Zonation Using ANP model and GIS technique in the Nahand Chai Basin

Pages

  23-37

Abstract

 Introduction: Landslide is a natural phenomenon which occurs through a fall or the movement of an integrated and often rapid volume of sedimentary materials along the hillsides. This phenomenon causes a lot of economic damages to forests and their growth, farmlands, gas and power transmission lines, mines, engineering structures and buildings. The purpose of this study is identifying the areas prone to Landslide and determining the factors influencing the occurrence of Landslides in the Nahand Chai Basin, located in East Azerbaijan province, using Analytical Network Process (ANP) and GIS technique. Methodology: The study area is located between 38, 08´ and 38, 28´ N and between 46, 21´ and 46, 35´ E in the East Azerbaijan province, Northwest of Iran. According to the current study's hypothetical criteria, practically 8 data layers have been provided in a GIS setting; as they are regarded to be significantly important factors in Landslide occurrence in Nahand Chai. The ANP model was introduced to the provided relational database in weighting of data layers and defining a number of related functional criteria and factors.

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    APA: Copy

    Moazzez, Somayeh, ROOSTAEI, SHAHRAM, & Rahimpour, Tohid. (2019). Landslide Hazard Zonation Using ANP model and GIS technique in the Nahand Chai Basin. QUANTITATIVE GEOMORPHOLOGICAL RESEARCHES, 8(2 ), 23-37. SID. https://sid.ir/paper/390411/en

    Vancouver: Copy

    Moazzez Somayeh, ROOSTAEI SHAHRAM, Rahimpour Tohid. Landslide Hazard Zonation Using ANP model and GIS technique in the Nahand Chai Basin. QUANTITATIVE GEOMORPHOLOGICAL RESEARCHES[Internet]. 2019;8(2 ):23-37. Available from: https://sid.ir/paper/390411/en

    IEEE: Copy

    Somayeh Moazzez, SHAHRAM ROOSTAEI, and Tohid Rahimpour, “Landslide Hazard Zonation Using ANP model and GIS technique in the Nahand Chai Basin,” QUANTITATIVE GEOMORPHOLOGICAL RESEARCHES, vol. 8, no. 2 , pp. 23–37, 2019, [Online]. Available: https://sid.ir/paper/390411/en

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