Using the combined model of gamma test and neuro-fuzzy system for modeling and estimating lead bonds in reservoir sediments.

Heavy metals attract a great deal of attention nowadays due to their potential accumulation in living creatures and transference in the food chain. Sediments of water reservoirs are considered to be a source of accumulation of these metals that develop in response to human activities and soil erosion. This study collected 180 samples of the surface sediments of water reservoir 1 at Chahnimeh in Sistan. Efficiency of the ANFIS model was evaluated to estimate the five bonds following the measurement of parameters in the laboratory.The following results were obtained for the parameters: organic carbon (OC) %, 0.31; cation exchange capacity (CEC), 37.07 Cmol kg; total Pb, 25.19 mg/kg; clay %, 45.87; and silt %, 39.02. These parameters were used as input for the training model. In the output layer, lead bonds were chosen as modeling targets in the following way: Pb f1 (4.61); Pb f2 (0.54); Pb f3 (16.28); Pb f4 (3.42); and Pb f5 (0.38) mg/kg. The best input compound in this model was chosen using the gamma test. From a total of 180, 88 data were considered for the model training section. Eventually, the neural-fuzzy model (subtractive clustering), developed for the prediction of lead bonds in the studied region, was able to account for over 99% of lead bonds in the sediments; considering statistical criteria of root mean squares error or RMSE (0.0337-0.0813) and determination coefficient or R2 (0.92-0.99), this model showed good performance with regard to prediction.

Fractionation of heavy metals in bottom sediments in Chahnimeh 1, Zabol, Iran.

In the present study, 180 sediment samples were collected from the Chahnimeh 1 reservoir to investigate the concentration of metal and sequential extraction. Five geochemical phases (exchangeable fraction, carbonate fraction, Fe/Mn oxide fraction, organic fraction and residual fraction) for the determination of the speciation of heavy metals (Zn, Fe, Cd, Pb, Mn, Ni) as proposed by Tessier was applied to sediments collected from Chahnimeh 1. Results were obtained for nickel and cadmium, as over 40 % of metal was present in the exchangeable phase and bound to carbonate. According to the risk assessment code (RAC), sediments that have 31 to 50 % carbonate and exchangeable fraction are high risk. Similar results were obtained for zinc and lead. The major fraction of the two metals (63 % of the total concentration for lead and 85 % of the total concentration for zinc) occurred in the residual phase and fraction-bound hydrous Fe-Mn oxides. The risk assessment showed moderate risk for lead and no risk for zinc. This indicates that the Igeo and IPOLL used in the present investigation showed no pollution to moderate pollution in terms of metals in sediments.