Potential Erosion Assessment of Dastkan Region Using SLEMSA Model

Extended abstract1- IntroductionIn geographical studies, soil is not only considered as a natural resource, but also it is exposed to a corrupted danger called erosion, so it needs study, guarding and control. On one hand, the concept of erosion, from geomorphological point of view, is referred to processes which shape the earth surface, and on the other hand, it is related to the factors of soil guarding. The fact is that different results are derived from evaluating erosion risks through various methods, and quantity and type of soil erosion also vary from one place to another. These quantities would be very useful for planning.First Elwell (1978) applied the SLEMSA Model to assess rates of erosion in Zimbabwe. Her research showed that this strategy is acceptable for the study of soil conservation in the country. After Elwell and Stocking (1984 and 1982), this model was used for assessing erosion in North Africa. Igwe et al (1997) to estimate the potential risk of erosion in South West Nigeria compared the USLE and SLEMSA methodology for mapping erosion and indicated the positive consequences of SLEMSA methodology. Josefine Svorin (2003) examined three models of USLE / RUSLE, SLEMSA, Morgan and Morgan- Finney. Mouinou Igue Attanda (2002) Quality of water erosion in lowland humid Benin using the two models, USLE and SLEMSA assessed and has concluded that the model SLEMSA due to the similarity of the results with the results of projects carried out, fit better with tropical there. Igwe et al (1997) examined the use of models to estimate the potential risk of erosion USLE and SLEMSA in mapping erosion in South West Nigeria have paid. The purpose of this study Dastkan watershed erosion rates, erosion, and identify categories of factors are.2- MethodologyIn the first, boundary of the study area was determined, and then through statistical techniques the factors interact in the SLEMSA model were examined. Collecting information and the primary consideration of factors models, and the combination of digital layers, were done.3– DiscussionThe SLEMSA model divides the soil erosion environment into four physical systems: crop, climate, soil and topography. Major control variables are then selected for each system on the basis that they should be easily measurable and the dominant factor within each system (Stocking, 1980). These control variables are subsequently combined into three sub-models; the bare soil sub model, topographical sub model, and the crop sub model. The main model is then simply the three sub models multiplied together. The SLEMSA equation is a