Soil erosion is an environmental problem that poses a threat to natural resources, agriculture and the environment. In this regard, temporal and spatial information of soil erosion has an effective role in management measures, erosion control and watershed management. Different land uses cause different amounts of erosion, so vegetation plays an important role in soil protection and erosion control. In the present study, the aim was to investigate the effect of land use change on soil loss and evaluate the RUSLE model in the Zayandehrud mirage basin in Isfahan province. In this regard, by using the rain simulator, artificial rainfall was produced in irrigated, rainfed, strong pasture, weak and barren lands with 3 repetitions and two times (June and November) and the effect of land use change. And some physical and chemical properties of soil on runoff and sediment produced were investigated. Also, the revised global equation of soil loss was used in the framework of GIS and remote sensing system. After preparing the RUSLE model factors including R, K, LS, C and P, the model was implemented and the average values ??of each factor were calculated and As a result, the average annual soil erosion map for 1993, 2006 and 2019 was prepared. Examining the results obtained from the rain simulator, it was found that different land uses in terms of runoff and sediment production are significantly different from each other, so that poor pasture land use in June sampling the most runoff and in November sampling has produced the most sediment compared to other land uses. Also, the results of the study of the effect of physical and chemical properties of soil on runoff and sediment showed that variables such as MWD, OM and sand percentage had a greater effect on runoff, sediment and infiltration rate than other variables. Increasing the amount of MWD and OM in the soil has reduced runoff as well as sediment. Regarding the percentage of sand, its increase has increased the erodibility of the soil in the study area. Also, the average annual soil erosion maps obtained using the RUSLE model for the mentioned years showed that the highest percentage of area is related to the very low and very high soil erosion Keywords: RUSLE model, GIS, RS, rain simulator, land use change, soil properties
