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

Autor: Songül Akbulut Özen, Cafer Mert Yesilkanat, Murat Özen, Asiye Başsarı, Halim Taşkın
Rok vydání: 2022
Předmět:
Zdroj: Environmental Science and Pollution Research. 29:72683-72698
ISSN: 1614-7499
0944-1344
DOI: 10.1007/s11356-022-20974-9
Popis: In 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 m
Databáze: OpenAIRE