Skip to main content
Log in

Preliminary construction of a microecological evaluation model for uranium-contaminated soil

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

With the extensive development of nuclear energy, soil uranium contamination has become an increasingly prominent problem. The development of evaluation systems for various uranium contamination levels and soil microhabitats is critical. In this study, the effects of uranium contamination on the carbon source metabolic capacity and microbial community structure of soil microbial communities were investigated using Biolog microplate technology and high-throughput sequencing, and the responses of soil biochemical properties to uranium were also analyzed. Then, ten key biological indicators as reliable input variables, including arylsulfatase, biomass nitrogen, metabolic entropy, microbial entropy, Simpson, Shannon, McIntosh, Nocardioides, Lysobacter, and Mycoleptodisus, were screened by random forest (RF), Boruta, and grey relational analysis (GRA). The optimal uranium-contaminated soil microbiological evaluation model was obtained by comparing the performance of three evaluation methods: partial least squares regression (PLS), support vector regression (SVR), and improved particle algorithm (IPSO-SVR). Consequently, partial least squares regression (PLS) has a higher R2 (0.932) and a lower RMSE value (0.214) compared to the other. This research provides a new evaluation method to describe the relationship between soil ecological effects and biological indicators under nuclear contamination.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

Download references

Funding

This work was supported by the Major Science and Technology Projects in Sichuan Province (2019ZDZX0003) and National Natural Science Foundation of China (12275227).

Author information

Authors and Affiliations

Authors

Contributions

Fanzhou Tang, Shiqi Xiao, and Xiaoming Chen have made substantial contributions to the conception or design of the work and analysis or interpretation of data for the work. Fanzhou Tang has drafted the work or revised it critically for important intellectual content. Jiali Huang, Jia hao Xue, Imran Ali, Wenkun Zhu, Hao Chen, and Min Huang performed all the experiments. All persons who have made substantial contributions to the work were reported in the manuscript.

Corresponding author

Correspondence to Xiaoming Chen.

Ethics declarations

Ethical approval and consent to participate

Not applicable.

Consent for publication

Agree.

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Robert Duran

I have not submitted my manuscript to a preprint server before submitting it to Environmental Science and Pollution Research.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 26406 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tang, F., Xiao, S., Chen, X. et al. Preliminary construction of a microecological evaluation model for uranium-contaminated soil. Environ Sci Pollut Res 31, 28775–28788 (2024). https://doi.org/10.1007/s11356-024-33044-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-024-33044-z

Keywords

Navigation