| چکیده انگلیسی مقاله |
Landslide classification using the Depth–Number (Dp–N) fractal model at the Tajan river basin in the north of Iran is the aim of this study based on 142 landslide information data set. The obtained results were interpreted using a rather extensive set of information available for each landslide class, consisting of Digital Elevation Model (DEM), landuse, drainage network and fault data. The log–log plot shows the existence of five classes for depth (weakly, moderately, highly, strongly and extremely magnitude) which shows that the extremely magnitude landslides have depths higher than 19.95 m in the NE, central and western parts of the Tajan area. The strongly (5-19.95 m) and highly (2.4-5 m) magnitude landslides happened in the northern, NE, western and NW parts of the area. The results, which were compared with landuse, drainage network, DEM and fault distribution patterns revealed a positive correlation between landslide classes and the particulars in the area. In addition, coefficient of determination, R2, for each population shows that the classification has been done correctly using Dp-N fractal model. Results illustrate that the dangerous landslides occurred in the NE, northern, western and NW parts of the area. |
