Cargando…

Human health-risk assessment of heavy metal–contaminated soil based on Monte Carlo simulation

Soil contamination soils of by heavy metals (HMs) poses serious threats to the soil environment and enters the human body through exposure pathways such as ingestion and skin contact, posing a threat to human health. The purpose of this study was to analyze the sources and contributions of soil HMs,...

Descripción completa

Detalles Bibliográficos
Autores principales: Panqing, Ye, Abliz, Abdugheni, Xiaoli, Sun, Aisaiduli, Halidan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148830/
https://www.ncbi.nlm.nih.gov/pubmed/37120424
http://dx.doi.org/10.1038/s41598-023-33986-3
_version_ 1785035055024832512
author Panqing, Ye
Abliz, Abdugheni
Xiaoli, Sun
Aisaiduli, Halidan
author_facet Panqing, Ye
Abliz, Abdugheni
Xiaoli, Sun
Aisaiduli, Halidan
author_sort Panqing, Ye
collection PubMed
description Soil contamination soils of by heavy metals (HMs) poses serious threats to the soil environment and enters the human body through exposure pathways such as ingestion and skin contact, posing a threat to human health. The purpose of this study was to analyze the sources and contributions of soil HMs, and to quantitatively assess the human health risks of soil HMs to different populations (i.e. children, adult females and adult males), and to analyze the human health risks caused by various sources of sensitive populations. 170 topsoil (0–20 cm) were collected from Fukang, Jimsar and Qitai on the northern slope of Tianshan Mountains in Xinjiang, China, and the contents of Zn, Cu, Cr, Pb and Hg were determined. This study used the Unmix model and a health-risk assessment (HRA) model to assess the human health risks of five HMs. The results showed that: (1) The mean values of Zn and Cr were lower than the background values of Xinjiang, the mean values of Cu and Pb were slightly higher than the background values of Xinjiang but lower than the national standard, and the mean value of Hg and Pb was higher than the background value of Xinjiang and the national standard. (2) The sources of soil HMs in the region were mainly traffic, natural, coal, and industrial sources. Moreover, the HRA model combined with Monte Carlo simulation showed similar trends in the health-risk status of all population groups in the region. Probabilistic HRA revealed that noncarcinogenic risks were acceptable for all populations (HI < 1) while carcinogenic risks were high (children: 77.52%; female: 69.09%; male: 65.63%). For children, carcinogenic risk from industrial and coal sources exceeded the acceptable threshold by 2.35 and 1.20 times, respectively, and Cr was the main element contributing to human carcinogenic risk. These findings suggest that carcinogenic risks from coal-based Cr emissions cannot be ignored, and the study area should aim to control Cr emissions from industrial sources. The results of this study provide support for the prevention of human health risks and the control of soil HMs pollution across different age groups.
format Online
Article
Text
id pubmed-10148830
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-101488302023-05-01 Human health-risk assessment of heavy metal–contaminated soil based on Monte Carlo simulation Panqing, Ye Abliz, Abdugheni Xiaoli, Sun Aisaiduli, Halidan Sci Rep Article Soil contamination soils of by heavy metals (HMs) poses serious threats to the soil environment and enters the human body through exposure pathways such as ingestion and skin contact, posing a threat to human health. The purpose of this study was to analyze the sources and contributions of soil HMs, and to quantitatively assess the human health risks of soil HMs to different populations (i.e. children, adult females and adult males), and to analyze the human health risks caused by various sources of sensitive populations. 170 topsoil (0–20 cm) were collected from Fukang, Jimsar and Qitai on the northern slope of Tianshan Mountains in Xinjiang, China, and the contents of Zn, Cu, Cr, Pb and Hg were determined. This study used the Unmix model and a health-risk assessment (HRA) model to assess the human health risks of five HMs. The results showed that: (1) The mean values of Zn and Cr were lower than the background values of Xinjiang, the mean values of Cu and Pb were slightly higher than the background values of Xinjiang but lower than the national standard, and the mean value of Hg and Pb was higher than the background value of Xinjiang and the national standard. (2) The sources of soil HMs in the region were mainly traffic, natural, coal, and industrial sources. Moreover, the HRA model combined with Monte Carlo simulation showed similar trends in the health-risk status of all population groups in the region. Probabilistic HRA revealed that noncarcinogenic risks were acceptable for all populations (HI < 1) while carcinogenic risks were high (children: 77.52%; female: 69.09%; male: 65.63%). For children, carcinogenic risk from industrial and coal sources exceeded the acceptable threshold by 2.35 and 1.20 times, respectively, and Cr was the main element contributing to human carcinogenic risk. These findings suggest that carcinogenic risks from coal-based Cr emissions cannot be ignored, and the study area should aim to control Cr emissions from industrial sources. The results of this study provide support for the prevention of human health risks and the control of soil HMs pollution across different age groups. Nature Publishing Group UK 2023-04-29 /pmc/articles/PMC10148830/ /pubmed/37120424 http://dx.doi.org/10.1038/s41598-023-33986-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Panqing, Ye
Abliz, Abdugheni
Xiaoli, Sun
Aisaiduli, Halidan
Human health-risk assessment of heavy metal–contaminated soil based on Monte Carlo simulation
title Human health-risk assessment of heavy metal–contaminated soil based on Monte Carlo simulation
title_full Human health-risk assessment of heavy metal–contaminated soil based on Monte Carlo simulation
title_fullStr Human health-risk assessment of heavy metal–contaminated soil based on Monte Carlo simulation
title_full_unstemmed Human health-risk assessment of heavy metal–contaminated soil based on Monte Carlo simulation
title_short Human health-risk assessment of heavy metal–contaminated soil based on Monte Carlo simulation
title_sort human health-risk assessment of heavy metal–contaminated soil based on monte carlo simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148830/
https://www.ncbi.nlm.nih.gov/pubmed/37120424
http://dx.doi.org/10.1038/s41598-023-33986-3
work_keys_str_mv AT panqingye humanhealthriskassessmentofheavymetalcontaminatedsoilbasedonmontecarlosimulation
AT ablizabdugheni humanhealthriskassessmentofheavymetalcontaminatedsoilbasedonmontecarlosimulation
AT xiaolisun humanhealthriskassessmentofheavymetalcontaminatedsoilbasedonmontecarlosimulation
AT aisaidulihalidan humanhealthriskassessmentofheavymetalcontaminatedsoilbasedonmontecarlosimulation