Health risk assessment of soil trace elements using the Sequential Gaussian Simulation approach

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dc.authorid0000-0002-7508-7548en_US
dc.contributor.authorAkbulut Özen, Songül
dc.contributor.authorYeşilkanat, Cafer Mert
dc.contributor.authorÖzen, Murat
dc.contributor.authorBaşsarı, Asiye
dc.contributor.authorTaşkın, Halim
dc.date.accessioned2022-06-16T10:56:47Z
dc.date.available2022-06-16T10:56:47Z
dc.date.issued2022
dc.departmentAÇÜ, Eğitim Fakültesi, Matematik ve Fen Bilimleri Eğitimi Bölümüen_US
dc.description.abstractIn this study, the performance of the Sequential Gaussian Simulation (SGS) approach was studied with the aim of accurately determining local health risk distributions associated with trace elements (V, Cr, Mn, Co, Ni, Cu, Zn, As, and Pb). This study plays a crucial role in determining the distribution of health risk levels, especially from heavy metals. In the SGS approach, health risk levels (non-carcinogenic and carcinogenic) were calculated for pixel sizes of 250 × 250 m2. Results were compared to the conventional Ordinary Kriging (OK) method. The cross-validation performances of both methods were compared. Non-carcinogenic health risks calculated according to SGS and OK for children were, respectively, ?c: 0.57 and 0.23, RMSE: 0.45 and 0.57, and MAE: 0.33 and 0.43. In the case of adults, non-carcinogenic SGS and OK results were, respectively, ?c: 0.53 and 0.24, RMSE: 0.06 and 0.07, and MAE: 0.04 and 0.05 for adults. Carcinogenic health risk estimates obtained by SGS and OK were, respectively, ?c: 0.72 and 0.31, RMSE: 4.1 × 10?5 and 5.8 × 10?5, and MAE: 3.2 × 10?5 and 4.3 × 10?5 in the case of children, and in the case of adults the results were, respectively, ?c: 0.71 and 0.30, RMSE: 5 × 10?6 and 4.3 × 10?6, and MAE: 4 × 10?6 and 5 × 10?6. These results indicated that SGS offered a more accurate approach in determining health risk distributions.
dc.identifier.citationYeşilkanat, C. M., Özen, M., Başsarı, A., & Taşkın, H. (2022). Health risk assessment of soil trace elements using the Sequential Gaussian Simulation approach. Environmental Science and Pollution Research International.en_US
dc.identifier.doi10.1007/s11356-022-20974-9
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/11494/3862
dc.identifier.volumeArticle in pressen_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorYeşilkanat, Cafer Mert
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofEnvironmental Science and Pollution Research International
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCarcinogenic health risken_US
dc.subjectCross-validationen_US
dc.subjectInterpolationen_US
dc.subjectMappingen_US
dc.subjectNon-carcinogenic risken_US
dc.titleHealth risk assessment of soil trace elements using the Sequential Gaussian Simulation approachen_US
dc.typeArticle

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