Skip to main content
Log in

Health risk assessment of trace metal(loid)s in agricultural soils based on Monte Carlo simulation coupled with positive matrix factorization model in Chongqing, southwest China

  • Original Article
  • Published:
Journal of Mountain Science Aims and scope Submit manuscript

Abstract

This study aimed to investigate the pollution characteristics, source apportionment, and health risks associated with trace metal(loid)s (TMs) in the major agricultural producing areas in Chongqing, China. We analyzed the source apportionment and assessed the health risk of TMs in agricultural soils by using positive matrix factorization (PMF) model and health risk assessment (HRA) model based on Monte Carlo simulation. Meanwhile, we combined PMF and HRA models to explore the health risks of TMs in agricultural soils by different pollution sources to determine the priority control factors. Results showed that the average contents of cadmium (Cd), arsenic (As), lead (Pb), chromium (Cr), copper (Cu), nickel (Ni), and zinc (Zn) in the soil were found to be 0.26, 5.93, 27.14, 61.32, 23.81, 32.45, and 78.65 mg/kg, respectively. Spatial analysis and source apportionment analysis revealed that urban and industrial sources, agricultural sources, and natural sources accounted for 33.0%, 27.7%, and 39.3% of TM accumulation in the soil, respectively. In the HRA model based on Monte Carlo simulation, non-carcinogenic risks were deemed negligible (hazard index <1), the carcinogenic risks were at acceptable level (10−6 <total carcinogenic risk ≤ 10−4), with higher risks observed for children compared to adults. The relationship between TMs, their sources, and health risks indicated that urban and industrial sources were primarily associated with As, contributing to 75.1% of carcinogenic risks and 55.7% of non-carcinogenic risks, making them the primary control factors. Meanwhile, agricultural sources were primarily linked to Cd and Pb, contributing to 13.1% of carcinogenic risks and 21.8% of non-carcinogenic risks, designating them as secondary control factors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Availability of Data/Materials: Because of the sensitivity of the data, the datasets generated and analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

References

Download references

Acknowledgments

This study was supported by Project of Chongqing Science and Technology Bureau (cstc2022jxjl0005).

Author information

Authors and Affiliations

Authors

Contributions

Ma Jie and Chu Lijuan: contributed equally to this work, analyzed experimental results and wrote the manuscript. Wang Shenglan, Ge Miao and Deng Li: sampling and experiment. Sun Jing: supervision and writing-review.

Corresponding author

Correspondence to Jie Ma.

Ethics declarations

Conflict of Interest:The authors declare that we have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Electronic Supplementary Material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, J., Chu, L., Sun, J. et al. Health risk assessment of trace metal(loid)s in agricultural soils based on Monte Carlo simulation coupled with positive matrix factorization model in Chongqing, southwest China. J. Mt. Sci. 21, 100–112 (2024). https://doi.org/10.1007/s11629-023-8304-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11629-023-8304-2

Keywords

Navigation