Catchment basin is one of the Useful methods in order to identify geochemical anomalies especially at the first of stage in geochemical exploration and to achieve blind are footsteps stream sediment data set are reagent of superior combinational materials due erosion or weathering. Effective interpretation of this data be done with space information combination associated to affection area of each sample. In the present study, geochemical anomalies are identified with application catchment basi modelling on stream sediment data related to 1:100,000 sheet of Takht-e-Solayma district. Thus background mono-element concentration caused lithology were estimated with using weight average method while areas proportion affection of all the lithological units are considered. Then Residual consentrations were calculated for each element at a chatchment Basin. Therefore above lithology effects are removed in samples. Mono and multi element analysis like U stastistical, MAD, Factor Analysis and C-A fractal were accomplished on the dataset. Factor Analysis was done at 2 stsge in order to separate anamoly from background for regnation geochemical anomalised related to mineralization at the district coused catchment basin and BLEG, introduced target area by this method are located at west of district that mineralization confirm this reults, obtained results of factor analysis indicated high correlation among Au, As and Sb, witch showed gold mineralization and pb, zn and cd. At the next step mineralize factor are determined and their anomaly distribution are mapped with using C-A fractal method. Plot of P-A and normalized density are used in order to comparison between catchment basin and bleg methods. Results of these match with mineralization but catchment basin method have more prediction rate than bleg method. Keywords : Takhte-soleyman 1:100000 sheet, stream sediment, BLEG, sample catchment basin
