Gully Erosion Susceptibility Assessment using Multivariate Regression Model (Case Study: Kiasar, Southern Mazandaran Province)

Gully erosion when it comes to positive processes in the most severe operating conditions and the most favorable conditions for the performance of other words is a positive process. One of the most important issues discussed gully erosion monitoring and evaluation of benchmarking is to extract and identify the type of erosion. In this paper the groove factor and drainage ditches, and selected as the dependent variable and measures such as lithology, land use, soil. figures from the Regional Physiographic characteristics (slope, aspect, topographic wetness index, the amplitude factor and the power factor) as independent variables or risk factors using multivariate regression methods based on maximum correlation between the dependent variable and variables regression equation between the factors we extract an independent venture. Independent variables with the dependent variable was dedicated channel to each of the factors underlying coefficients. Susceptibility to erosion in the ditch next step was divided into five categories and the results became clear that the greatest contribution in terms of sensitivity to ditch the factors lithology, soils, topography and land were allocated to the moisture index. line with the classification based on floor area of ​​greatest sensitivity to erosion, gully erosion, low and lowest share belongs to the class is too much erosion.