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    POTENTIALLY TOXIC ELEMENTS OF VOLCANIC ASH SOILS IN THE CAPPADOCIA REGION OF CENTRAL TURKEY
    (NORTH UNIV BAIA MARE, 2015) Kilic, Kenan; Dogan, Hakan Mete; Yalcin, Huseyin; Bilim, Mehmet; Karahan, Gulay
    We determined the variability and content of potentially toxic elements (PTEs) in soils formed on volcanic parent materials erupted from Erciyes stratovolcano in the middle Anatolian region of Turkey. The PTE content of soils formed on tuffs were higher than the soils formed on lavas. All the PTE concentrations decrease with increasing soil depth except for those of Cd. Cr, Cd, and Ni increased with elevation, but Co, Cu, Mn, Pb, and Zn concentrations decreased. The high PTE concentrations in soils could be attributed to the volcanic parent materials. The greatest PTE variations in soils were determined by lithological differences and could be attributed to the types of parent material and their compositions. Site specific soil management practices must be applied to soils in the study area because of the high PTE content.
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    The evaluation of potentially toxic elements using artificial neural networks and fuzzy linear regression analysis methods in cappadocian volcanic ash soils of Turkey
    (Cell Press, 2023) Kilic, Kenan; Topuz, Dervis
    The aim of this study is to determine the relationships between some potentially toxic elements (PTE) (Cu, Mn, Ni, Zn) in human stomach and intestinal tissues and toxic element contents in soil, vegetables and fruits. This study was conducted in the eastern of Erciyes Strato volcano, an area of 2400 km2 in Turkey. Tissue samples taken from the stomach and intestines of people living in the study area, soils, vegetables, and fruits were used as material. In the study, tissue samples of 26 people's stomach and intestines, 576 soil samples from 192 points and 3 different depths (0-30 cm, 30-60 cm, and 60-90 cm) and vegetable and fruit samples from 137 sampling points were taken. Cu, Mn, Ni, and Zn contents of human tissue samples, soil samples, vegetable and fruit samples were determined. Artificial Neural Networks method (ANN) and Fuzzy Linear Regression Analysis (FLRA) methods were used to determine the relationships between PTE contents in human tissue samples and soils, vegetables, and fruits. Root Mean squared error (RMSE) and coefficient of determination (R2) indices were used as the test criteria for goodness of fit. When compared with ANN method, it was determined that PTE values in stomach and intestinal tissue estimated by FLRA method had the lowest error and high R2 values. It was found that the most effective variable in estimating the average PTE value in stomach and intestinal tissue is PTE values in soil. It was determined that the FLRA regression analysis method has a better predictive power than the ANN method. Using FLRA and ANN regression methods, it was determined that there is a statistically high relationship between PTE contents in soils and stomach and intestinal tissues. It is recommended to make the study findings more meaningful with effective and reliable service planning by using different regression analysis methods in ecological and clinical studies.