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

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dc.authorid0000-0002-5195-1477
dc.authorid0000-0002-3589-2059
dc.contributor.authorAkbulut Ozen, Songul
dc.contributor.authorYesilkanat, Cafer Mert
dc.contributor.authorOzen, Murat
dc.contributor.authorBassari, Asiye
dc.contributor.authorTaskin, Halim
dc.date.accessioned2026-02-12T21:05:04Z
dc.date.available2026-02-12T21:05:04Z
dc.date.issued2022
dc.departmentBursa Teknik Üniversitesi
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 x 250 m(2). 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, rho(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, rho(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, rho(c): 0.72 and 0.31, RMSE: 4.1 x 10(-5) and 5.8 x 10(-5), and MAE: 3.2 x 10(-5) and 4.3 x 10(-5) in the case of children, and in the case of adults the results were, respectively, rho(c): 0.71 and 0.30, RMSE: 5 x 10(-6) and 4.3 x 10(-6), and MAE: 4 x 10(-6) and 5 x 10(-6). These results indicated that SGS offered a more accurate approach in determining health risk distributions.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [112S652]
dc.description.sponsorshipThis work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) with Project number 112S652.
dc.identifier.doi10.1007/s11356-022-20974-9
dc.identifier.endpage72698
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.issue48
dc.identifier.pmid35610455
dc.identifier.scopus2-s2.0-85130684346
dc.identifier.scopusqualityQ1
dc.identifier.startpage72683
dc.identifier.urihttps://doi.org/10.1007/s11356-022-20974-9
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6768
dc.identifier.volume29
dc.identifier.wosWOS:000801072200004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260212
dc.subjectNon-carcinogenic risk
dc.subjectCross-validation
dc.subjectInterpolation
dc.subjectMapping
dc.subjectCarcinogenic health risk
dc.titleHealth risk assessment of soil trace elements using the Sequential Gaussian Simulation approach
dc.typeArticle

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