the application of rusle model in spatial distributiondetermination of soil loss hazard

the modeling can provide a quantitative approach and consistency in the estimationsoil erosion and sediment yield by a wide range of conditions. in this study, the integration method of revised universal soil loss equation model, geographic information system and remote sensing techniques were used in order to identify the spatial distribution of soil erosion and sediment yield in the talar watershed. parameters of rainfall erosivity, soil erodibility, slope length and slope gradient and vegetation cover were calculated in order to provision rusle map. the amount of soil loss was calculated from 0 to 9201 tons per hectare per year for the total basin and classification of erosion areas showed that erosion class of low, medium, high and very high with value of 33.12, 27.62, 21.13 and 18.13 percent respectivelycovered the total watershed. the linear regression analysis showed that in the between parameters of rusle model, the slope length and slope gradient parameter with value of 0.93 have the most correlation with the soil loss map. also sw3 sub-watershed with value of 5580.33 tons per hectare per year and the sw4 sub-watershed with value of 19.59 percent have the highest and lowest erosion hazard and sediment yield respectively in the between sub-watersheds. the results showed that conservation and management measures can be useful to control and also reduce soil erosion and sediment yield in the talar watershed.