Source identification and health risk assessment of heavy metals with mineralogy: the case of soils from a Chinese industrial and mining city

Xu, Jun; Wu, Yi; Wang, Shengli; Wang, Yufan; Dong, Suhuang; Chen, Zhaoming; He, Liang

doi:10.1007/s10653-023-01548-1

Cited by 10 publications

(2 citation statements)

References 85 publications

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“…Based on the results of source apportionment, the source-specific health risks for children and adult through three exposure pathways (oral ingestion, dermal contact, and inhalation) were evaluated using health risk assessment method suggested by USEPA [9,41]. The average daily doses (ADD k ij , mg/kg/day) of heavy metal i from the source k in the j sample via different pathways were calculated as follows [42]:…”

Section: Health Risk Apportioned From Different Sourcesmentioning

confidence: 99%

Source Apportionment and Risk Assessment of Heavy Metals in Agricultural Soils in a Typical Mining and Smelting Industrial Area

Li,

Cao,

et al. 2024

Sustainability

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Source apportionment and risk assessment are critical for making effective pollution prevention and control policies. The study was carried out to assess source-specific ecological and human health risks associated with heavy metals in farmland soils in Yingtan City based on apportionment results of receptor models. Multivariate analysis and the APCS-MLR model consistently revealed that As, Ni, and Cr in agricultural soils may be mainly derived from natural sources, while the contents of Cu, Zn, Cd, and Pb have been significantly elevated by human activities. According to the outputs of the APCS-MLR model, Cu (34.3%), Zn (67.2%), Pb (75.1%), and Cd (67.9%) primarily originated from the industrial activities related to mineral mining and non-ferrous metal smelting processes. The source-specific ecological risk assessment indicated that industrial sources were the primary contributor to the total ecological risks, posing moderate to high risks in the southern mountainous regions. Natural origins played a significant role in the health risks due to the substantial amounts of As naturally occurring in the soils. The findings could guide the development of effective risk management and pollution control measures for agricultural soils.

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Section: Health Risk Apportioned From Different Sourcesmentioning

confidence: 99%

Source Apportionment and Risk Assessment of Heavy Metals in Agricultural Soils in a Typical Mining and Smelting Industrial Area

Li,

Cao,

et al. 2024

Sustainability

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“…Xu et al used the positive definite matrix factor decomposition (PMF) model to quantitatively trace the source of soil pollution in the Gansu grassland. Traffic emissions and industrial activities were the main sources of soil heavy metals [24]. Xu et al used the APCS-MLR model to study soil pollution in Ningxia grasslands, with industrial activities, agricultural use, and traffic as the main sources [25].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Source Analysis of Heavy Metal Pollution in Grassland Soils under Different Management Modes in Altay, Xinjiang

Hu,

Li,

Wang

et al. 2023

Agronomy

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In order to study the characteristics and sources of heavy metal pollution within different grassland soil categories in Altay, 147 soil samples were collected in Fuyun County according to grassland type, and the contents of seven heavy metals (Cu, Pb, Cr, Zn, As, Ni, and Cd) were determined. The heavy metal pollution in the soil was evaluated using the Nemerow pollution and geological accumulation index methods. The absolute principal component score–multiple linear regression model (APCS-MLR) model was used to analyze the sources of heavy metals and the contribution rate of the pollution sources. The results showed that (1) the heavy metal content of 0~10 cm soil in the mining area was generally higher than the remaining two layers. Natural grassland was the most seriously contaminated, and the order of its contamination was Zn > Pb > Ni > Cd > Cu > Cr > As. (2) The evaluation results of the comprehensive pollution index showed that Ni and Cd were the main pollutants in five grassland types, and the evaluation results of the geological accumulation index method showed that natural grasslands were more polluted. (3) Three pollution sources were obtained according to the analysis using the APCS-MLR model, including natural and mining activity sources (32.6%), industrial coal combustion and sewage sources (24.7%), and an unknown source (42.7%). The results of the study can provide a basis for pollution control and ecological protection in the grasslands of Altay.

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Assessment of heavy metal pollution and preschool children health risk in urban street dusts from different functional areas in a typical industrial and mining city, NW China

Zhang

Chen

et al. 2023

Environ Geochem Health

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Source identification and health risk assessment of heavy metals with mineralogy: the case of soils from a Chinese industrial and mining city

Cited by 10 publications

References 85 publications

Source Apportionment and Risk Assessment of Heavy Metals in Agricultural Soils in a Typical Mining and Smelting Industrial Area

Source Apportionment and Risk Assessment of Heavy Metals in Agricultural Soils in a Typical Mining and Smelting Industrial Area

Evaluation and Source Analysis of Heavy Metal Pollution in Grassland Soils under Different Management Modes in Altay, Xinjiang

Assessment of heavy metal pollution and preschool children health risk in urban street dusts from different functional areas in a typical industrial and mining city, NW China

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