Source apportionment and health risk quantification for heavy metal sources in soils near aluminum-plastic manufacturing facilities in northeast China

Li, Jun; Xu, Xibo; Lv, Jianshu; Wu, Quanyuan; Ren, Mengyan; Cao, Jianfei; Liu, Peiyuan

doi:10.1080/10807039.2019.1669430

Cited by 5 publications

(3 citation statements)

References 65 publications

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“…However, the traditional human health risk assessment model is subject to fixed parameters and the use of a limited number of heavy metal content data. It is difficult to avoid errors in human health risk assessment 23 . In this study, Monte Carlo simulation was used in combination with human risk assessment model to eliminate this error to a certain extent, and the sources of Unmix model analysis were used for Monte Carlo simulation of human health risk.…”

Section: Discussionmentioning

confidence: 99%

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

Panqing

Abliz

Sun

et al. 2023

Sci Rep

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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.

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Section: Discussionmentioning

confidence: 99%

“…Monte Carlo simulation combined with source analysis can explain the contribution rate of heavy metal sources to soil pollution and the resulting pollution to human health risks. It can also eliminate to a certain extent the problem of inaccurate human health risk assessment caused by fixed parameters 23 .…”

Section: Introductionmentioning

confidence: 99%

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

Panqing

Abliz

Sun

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…However, the As and Cd concentrations were lower than those in Ethiopia (Gebeyehu & Bayissa, 2020). The elevated coefficients of skewness for As, Pb, Sb, and Zn indicated that these four elements may be influenced by anthropogenic inputs (Table 1) (Li et al, 2020). The high kurtosis of As, Cd, Pb, Sb, and Zn suggested that bulks of the monitoring data clustered around their mean values (Jin et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Heavy metal(loid)s in farmland soils on the Karst Plateau, Southwest China: An integrated analysis of geochemical baselines, source apportionment, and associated health risk

et al. 2022

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The Karst Plateau is characterized by elevated heavy metals (HM), the farmland soils in the Karst Plateau area is especially vulnerable to HM pollution. To cope with soil HM pollution and conduct precaution in Karst Plateau, the key bottleneck is to understand the pollution levels, sources, and priority‐control of HM. Hence, geochemical baselines of HM in farmland soils were established to accurately evaluate the pollution characteristics. Pollution sources were identified with multivariate statistics, geostatistical methods, and receptor models. Priority‐control of HM were distinguished via health assessments with a Monte Carlo simulation. A remarkable accumulation of Pb, Sb, Zn, As, and Cd was observed. Hotspots of As, Cd, Pb, Sb, and Zn clustered in the southwestern region of Hezhang. Pb–Zn related activities, cement product activities, coal mining, and coal combustion were dominant sources. Both noncarcinogenic risk and carcinogenic risk followed the order: children>adult females>adult males. As, Cd, and Pb were found to be priority contaminants in farmland soils in Hezhang.

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A joint method to assess pollution status and source-specific human health risks of potential toxic elements in soils

Wang

Zhou

et al. 2022

Environ Monit Assess

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Source apportionment and health risk quantification for heavy metal sources in soils near aluminum-plastic manufacturing facilities in northeast China

Cited by 5 publications

References 65 publications

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

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

Heavy metal(loid)s in farmland soils on the Karst Plateau, Southwest China: An integrated analysis of geochemical baselines, source apportionment, and associated health risk

A joint method to assess pollution status and source-specific human health risks of potential toxic elements in soils

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