Size distribution and controls of landslides in the Zagros mountain belt (Iran)
Published:December 21, 2017
Neda Ghazipour, Guy Simpson, 2017. "Size distribution and controls of landslides in the Zagros mountain belt (Iran)", Tectonic Evolution, Collision, and Seismicity of Southwest Asia: In Honor of Manuel Berberian’s Forty-Five Years of Research Contributions, Rasoul Sorkhabi
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We investigated 335 landslides (including rockslides, rock avalanches, soil slides, and slides) in the Zagros mountain belt of southwest Iran using a digital elevation model (DEM) with 30 m resolution, Google Earth™ images, and field investigation. Individual landslides have volumes ranging from 104 (the lower limit of resolution) to 3 × 1010 m3 and cover surface areas ranging from 103 to 108 m2. The relationship between landslide volume (VL) and area (AL) is well described by a power law of the form VL = ALα, where α = 1.49 over five orders of magnitude of AL and seven orders of magnitude of VL. We also show that the frequency-size (i.e., volume) distribution is heavy tailed, following a power law for the largest landslides (>107 m3) with a scaling exponent β = 1.51. Non-power-law behavior for smaller landslides is probably an artifact due to the relatively low resolution of our data, such that we are essentially missing many small landslides. Comparison of these results with the other published data sets around the globe shows that the Zagros landslides are relatively larger, and they show similar scaling behavior to those observed in other regions, especially with regard to data sets where landslides are deep-seated or relatively large and occur in relatively resistant materials (e.g., consolidated rocks, as opposed to soil). In addition, we used principal component analysis (PCA) to investigate links between the size of landslides and causative factors (e.g., geological, geomorphological, and physical factors). Our results highlight that although the size of landslides is not controlled by any single factor, their geographic distribution is strongly influenced by lithology, elevation, and slope.