Authors | Ebrahim Omidvar, Ataollah Kavian, Karim Solaimani, Somayeh Mashari |
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Journal | Desert Ecosystem Engineering Journal |
Paper Type | Full Paper |
Published At | ۲۰۱۵ |
Journal Grade | Scientific - research |
Journal Type | Typographic |
Journal Country | Iran, Islamic Republic Of |
Abstract
Soil erodibility is one of the six components affecting water erosion of the universal soil loss equation (USLE). K-factor is best obtained from direct measurements on natural plots. This is an infeasible task on large scales. To overcome this problem, measured K-factor values have been related to soil properties and the soil classification maps are used. The current research examines the ability of the soil maps for calculation of erodibility factor in the watershed scale. This subject was followed by the investigation of difference of erodibility components among thesoil types of Darabkola Watershed. Also, the geostatistical technique with Kriging method is used for the representation of the spatial distribution of K-factor. Results showed that among the K-factor components, percent of silt, structure class and permeability had a significant difference between some of soil types, and other components and K-factor didn’t have a significant difference. In conclusion, any coincidence seemed between erodibility map and soil type map.
tags: Soil map, Erodibility factor, GLM, Geostatistic, Kriging