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Due to high erosional sensitivity of marls, thousands of tons of fine grains sediments and clayare send to reservoirs of dams and artificial feeding stations annually. This process increases the expenses of filteration of drinkable water and forwards settlement of artificial feeding water strongly, Therefore, the study of different dimensions of marls is important for specialists and researchers. In this project, attempts were made to recognize effective variables of erosional features and some models were produced for classification and their erosional tye. Accordingly, 49 samples of marly soils belonging to 41 erosional points were taken and were send to laboratory for determinig of amount of physico-chemical variables. Also, characteristics of sampling place such as  slope, Geographical situation, privilege of 7 parameter for soil surface factor and so on were noted. The test of artificial rain was done by kampHorst΄s rainfall simulator apparatus in the 41 mentioned points and 41 samples were taken and the  amount  of runoff and sediment of them were measured by simple method in the laboratory. Furthermore, the 7 samples of marls were analyzed by X-ray diffractometer and the 8 thin setions of marls and their accompaniment rocks were provided and studied by polarizing microscope. Then, the abnormal data were normalized by logarithm and afterwards the all data were evaluated by variance and discriminant analysis. Evaluation of relationship between measured variables and erosion features showed that pH is only variable whose amount makes a significant difference and is effective for recognition of erosion features and sensibility of fisher΄s linear discruminant functions for prediction of erosion features together with all chemical, all physical and all physico- chemical variables are orderly equal with 75.6%, 82.9% and 78%. This shows that the physical variables are more usefull than chemical and physico-chemical variables for prediction of erosiolal features. The finally,in this research, several fisher΄s linear functions were produced for prediction of erosional type of  Hamedan marls through these  analysis .

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