Health risk assessment based on source identification of heavy metals: A case study of Beiyun River, China

Wu, Huihui; Xu, Congbin; Wang, Jinhang; Xiang, Ying; Ren, Meng; Qie, Hantong; Zhang, Yinjie; Yao, Ruihua; Li, Lu; Lin, Aoxiang

doi:10.1016/j.ecoenv.2021.112046

Cited by 84 publications

(39 citation statements)

References 50 publications

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“…Heavy metals in soil mainly come from the soil parent materials and human activities. PCA can effectively identify the pollution sources of heavy metals in soil ( 52 ). The PCA results of heavy metals in the experimental field soil in the present study are shown in Table 4 .…”

Section: Resultsmentioning

confidence: 99%

Comprehensive Risk Assessment of Applying Biogas Slurry in Peanut Cultivation

et al. 2021

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Biogas slurry, a byproduct of biogas plants, is considered a high-quality bio-organic fertilizer. Despite providing nutrients to crops, biogas slurry may contain a high concentration of heavy metals, leading to food safety problems and endangering human health if such metals are absorbed by plants. Therefore, biogas slurry should undergo systematic risk assessment prior to direct use on farmland to ensure its safety for soils and crops. In this study, the risk of applying biogas slurry in peanut cultivation was comprehensively evaluated. Based on nitrogen contents, different concentrations of biogas slurry were applied in peanut cultivation. The results achieved herein showed that the application of biogas slurry as a nutrient supplier in peanut cultivation would significantly affect the physical and chemical properties of soil and characteristics of the plant and the quality of peanuts. Although the heavy metal content of biogas slurry was within the permitted range, it had potential risks to human health and the environment. Principal component analysis (PCA) showed that biogas slurry was the primary source of heavy metals in soil. After the application of biogas slurry, the contents of As and Hg in the soil increased significantly, which were 11.12 and 26.67 times higher than those in the control soil. The contents of Cu, Zn, Pb, Cd, and As in peanut kernel samples under different levels of biogas slurry application were all lower than the maximum permissible limit set by the Standardization Administration of China. In contrast, the content of Hg in peanut kernels was higher than the maximum permissible limit value of 0.02 mg/kg. Peanut had a higher enrichment capacity of Cd and Zn and a higher migration capacity of Pb. The health risk assessment showed that the long-term consumption of peanuts grown with a high dosage of biogas slurry would be harmful to the health of children aged 2–6 years with a large consumption level.

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Section: Resultsmentioning

confidence: 99%

Comprehensive Risk Assessment of Applying Biogas Slurry in Peanut Cultivation

et al. 2021

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“…The PCA-MLR model is based on feature analysis and is used to extract the factor load matrix F and factor score matrix G of the receptor samples. The factor load is used to identify pollution sources, and the factor score is used to calculate source contribution rates [26,27]. The basic principle of PCA analysis is based on the least square method, that is, to seek F and G satisfying the minimum variance, which is described by the matrix as Equations ( 2) and (3):…”

Section: Pca-mlr Modelmentioning

confidence: 99%

Spatial Distribution and Source Apportionment of Soil Heavy Metals in Pearl River Delta, China

et al. 2021

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The contents of ten heavy metals (HMs) (Cu, Pb, Zn, Cd, Ni, Cr, Hg, As, Co, and Mn) in 80 surface soil samples (0–20 cm) were investigated in the Pearl River Delta (PRD), Guangdong Province, China. The average contents of Cu, Pb, Zn, Cd, Ni, Cr, Hg, As, Co, and Mn were 16.45, 40.20, 45.10, 0.09, 12.93, 47.93, 0.13, 14.44, 5.68, and 199.66 mg/kg, respectively. The soil quality was generally good, though slightly higher levels (1.17, 1.61, 1.67, and 1.62 times) of soil Pb, Cd, Hg, and As contents were observed compared with the soil background values. The spatial distribution of soil HM pollution in the PRD showed that 36% of sample sites were evaluated as sites without soil pollution, 32% as sites with slight pollution, 20% as sites with nearly moderate pollution, 9% as sites with moderate pollution, and 3% as site with serious pollution. Source apportionment analysis showed that the source of 64.33% of soil HMs in the PRD could be explained by natural and industrial sources, 24.80% by transportation, and 10.87% by agricultural activities.

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“…Agriculture 2021, 11, 800 2 of 13 In previous studies, multivariate statistical analyses such as cluster analysis (CA) and principal component analysis (PCA) were used to identify the sources of heavy metal pollution in soil [15,16]. However, the relationship between the soil heavy metal contents and the surrounding man-made landscape could not be identified accurately and quantified.…”

Section: Introductionmentioning

confidence: 99%

Potential Ecological Risks of Heavy Metals in Agricultural Soil Alongside Highways and Their Relationship with Landscape

Wen

et al. 2021

Agriculture

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The agricultural soil alongside highways has experienced multiple potential ecological risks from human activities. In this study, 100 soil samples near the highways were collected in Lishui District, Nanjing City. Using the single-factor pollution index, the Nemerow comprehensive pollution index, and the potential ecological risk index, the study investigated the heavy metal contents and distribution in roadside agricultural soil. PCA and a multiple regression model were applied to quantitatively analyze the spatial relationships between sampling soil heavy metal accumulation and the surrounding man-made landscape. The mean contents of Cu and Pb exceeded the background, while Cd, Cr, and Zn were lower than that. The potential ecological risk index exhibited a very low ecological hazard and only Cr in soils rarely showed moderate risk. Furthermore, quantitative analysis for the sources of contamination revealed that agricultural practices were the dominant contributors to the heavy metals, including Cd, Cu, and Zn, while road and heavy industrial practices contributed to Cr and Pb. The study provides sources of heavy metal pollution from human activities in roadside agricultural land and serves as a reference for ecological restoration.

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Health risk assessment based on source identification of heavy metals: A case study of Beiyun River, China

Cited by 84 publications

References 50 publications

Comprehensive Risk Assessment of Applying Biogas Slurry in Peanut Cultivation

Comprehensive Risk Assessment of Applying Biogas Slurry in Peanut Cultivation

Spatial Distribution and Source Apportionment of Soil Heavy Metals in Pearl River Delta, China

Potential Ecological Risks of Heavy Metals in Agricultural Soil Alongside Highways and Their Relationship with Landscape

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