The evaluation of potentially toxic elements using artificial neural networks and fuzzy linear regression analysis methods in cappadocian volcanic ash soils of Turkey

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dc.contributor.authorKilic, Kenan
dc.contributor.authorTopuz, Dervis
dc.date.accessioned2024-11-07T13:25:03Z
dc.date.available2024-11-07T13:25:03Z
dc.date.issued2023
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThe 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.
dc.description.sponsorshipScientific and Technological Research Council of Turkiye, TUBITAK [106Y307]; Scientific and Technological Research Council of Turkey
dc.description.sponsorshipThis research was financially supported by Scientific and Technological Research Council of Turkiye, TUBITAK (Project No: 106Y307) . Thanks to Scientific and Technological Research Council of Turkey for their support.
dc.identifier.doi10.1016/j.heliyon.2023.e19448
dc.identifier.issn2405-8440
dc.identifier.issue9
dc.identifier.pmid37681186
dc.identifier.scopus2-s2.0-85169030667
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.heliyon.2023.e19448
dc.identifier.urihttps://hdl.handle.net/11480/14459
dc.identifier.volume9
dc.identifier.wosWOS:001075701600001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherCell Press
dc.relation.ispartofHeliyon
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectErciyes strato volcano
dc.subjectArtificial neural networks
dc.subjectFuzzy linear regression analysis
dc.subjectPotentially toxic elements
dc.titleThe evaluation of potentially toxic elements using artificial neural networks and fuzzy linear regression analysis methods in cappadocian volcanic ash soils of Turkey
dc.typeArticle

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