<p>One of the biggest risks to the environment and food security is soil erosion. Also, it results in the loss of its ability to produce and the soil fertility is greatly reduced by this phenomenon which also has a significant impact on agricultural activities. Moreover, in arid and semi-arid regions soil loss due to water erosion is regarded as a major factor in land degradation. Also, in many Mediterranean areas, soil erosion by water is a serious environmental issue that is caused by a variety of geomorphological, geological, hydro-climatic, and human-related variables. So, the prediction of soil erosion is crucial for conservation practices, erosion prevention measures, and pertinent recommendations for soil conservation. Hence, modeling processes are required for the accurate estimation of soil erosion in such areas in the absence of measured data. As a result, predictive erosion models integrated into geographic information systems have been demonstrated to be useful tools for assessing soil erosion and creating plans to mitigate soil erosion. In addition, the Revised Universal Soil Loss Equation (RUSLE) model is a helpful instrument for determining, assessing, and controlling soil erosion. Also, RUSLE has been widely used to estimate annual average soil loss rates. The purpose of this study was to predict the risk of soil erosion in the study area utilizing the RUSLE model in a framework of a geographic information system (GIS). In addition, to apply the RUSLE model is calculated the erosion susceptibility for each pixel is based on the following parameters namely; topographic, conservation practice, crop management, rainfall erosivity, soil erodibility. These layers are all created in a GIS environment utilizing a variety of data sources and data processing methods. In the current study, the results indicate that the total soil erosion quantity ranged values from 0 to &gt; 2500 ton ha^­1 year ^­1, with an average spatial distribution of 53.64 ton ha^­1 year ^­1. Additionally, depending on estimations of soil loss in every grid cell, a soil erosion risk map in the study area was created through five risk classes; Low (36.83%),Moderate (7.21%),High (13.24%),Very high (19.83%), and Extreme high (22.89%). Indeed, the current assessment provided a trustworthy evaluation of the rates of soil loss and classification of erosion-prone locations within the study area. The results can undoubtedly help with the application of soil management and conservation techniques to decrease soil loss and may offer managers and developers useful data for land management. Finally, this model shown here is suitable for adjusting to similar environments in arid and semi-arid regions. </p>