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Determination of Erosion Statistics by Land Use Type at National Scale With the
                          Dynamic Erosion Model and Monitoring System (Demms)

               As a result of comprehensive calculations for rainfall intensities and
            energy  flows,  the  impacts  of  climate  severity  were  determined  for  the  soil
            erosion which has occurred in our country. For the soil data, the K factor map
            was created by using all data obtained at the national scale. Also, for the
            vegetation assessment, new data sets were created by using CORINE2018
            data and forest stand maps, and the C factor values, which were determined
            by Panagos et al., (2015), were assigned for the most suitable land cover and
            use classes in our country.
               In this study, the RUSLE technology was methodologically reinforced with RS
            and GIS in order to use the model parameters more effectively at the national scale.
            For national purposes, DEMMS was operated at the micro-basin and provincial
            scale, in accordance with potential further scaling. Additionally, the statistical soil
            erosion data from 25 river basins in Türkiye, detailed maps for severity assessment
            and Türkiye’s Water Erosion Map (Figure 4) were created. With DEMMS, a Water
            Erosion Atlas was prepared and published (Erpul et al., 2018).
               Accordingto  DEMMS’  predictions,  the  total  soil  loss  per  unit  area  at  a
            national scale is 642 million t ha-1 y-1 and the predicted average soil loss is
            8,24 t ha-1 y-1 (Erpul et al., 2018). When the results taken from DEMMS are
            assessed from the perspective of water erosion severity classes, it shows that
            there is 79.4% very light or light, 7.93% moderate, and 12.67% severe or very
            severe erosion (Table 1).


            Table 2: Distribution of water erosion classes in Türkiye by percentage
            (Erpul and Saygın, 2012).



                     Severity Class (t ha-1 y-1)       Severity Percentage (%)




                        Very Light (0-1)                     60.27

                         Light (1.01-5)                      19.13


                       Moderate (5,01-10)                     7.93


                       Severe (10,01-20)                      5.97


                      Very Severe (>20,01)                    6.70




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