Page 149 - Çevre Şehir ve İklim Dergisi İngilizce - Özel Sayı
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İskender Demirtaş - Günay Erpu


                The  RUSEL-P  factor  includes  the  control  practices,  which  decrease  the
              erosion potential, with their effects on the erosion forces that are applied to the
              soil surface by the drainage network, surface flow density, speed and current
              (Renard et al., 1991). RUSLE-P displays the soil loss rate based on the practices
              to prevent erosion. To control erosion, a variety of preventive practices such
              as contouring, pruning and terracing are done (Park et al., 2005). The human
              impact on soil erosion control is significant from the perspective of its inclusion
              in the assessment of soil erosion risk, but there is not any global reference
              because erosion control is a local practice in general (Yang et al., 2003).
                The RUSLE-based erosion assessments have been made in order to plan
              Sustainable Land Management (SLM) and rehabilitation practices in small dam
              basins by using the practice factors of product management and support as
              decision criteria (Madenoğlu et al., 2018; Pınar et al., 2018). By using the RUSLE
              model,  the  General  Directorate  of  Combating  Desertification  and  Erosion
              published The Water Erosion Atlas, which provides statistical data about soil
              erosion in 25 water basins of Türkiye together with Türkiye’s Water Erosion Map.
                In this article, it is assessed that the protection of soil resources to provide
              food safety on the province level is important due to the integration of soil
              ecosystem function and services due to climate change, land degradation
              and  desertification.  Furthermore,  when  the  study  is  evaluated  in  terms  of
              requirements,  national-scale  studies  involve  a  dynamic  handling  of  the
              changes resulting from data intensity, collection of new data and technological
              advancements. The insufficiency of local studies also made software programs
              like DEMMS a necessity. With this purpose, to support the decision and policy
              development in Türkiye, this article promotes DEMMS, which was developed by
              the General Directorate of Combating Desertification and Erosion of the Ministry
              of Environment, Urbanization and Climate Change in order to determine the
              erosion statistics and severity classes according to land use in Türkiye.

                2. Methodology

                DEMMS was utilized with the objectives such as data intensity, data process
              and the integration of the new data to the system as well as their storage, and
              it was integrated with the RUSLE model within the scope of these objectives.
              The integration of DEMMS with the RUSLE technology represents a critical
              development, which enables more sensitive and scalable assessments
              between different land use types and geographical regions.
                DEMMS, based on DEMMS RUSLE erosion model, (Wischmeier and Smith,
              1978; Renard et al., 1997) also determined severity classes by predicting the
              potential and real erosion rates for micro and macro river basins at national



              136  Journal of Environment, Urban and Climate
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