Qian X - Search Results

1

Interpretable machine learning models reveal the partnership of microplastics and perfluoroalkyl substances in sediments at a century scale.

Deng L, Liu K, Fan Y, Qian X, Ke T, Liu T, Li M, Xu X, Yang D, Li H. Deng L, et al. Among authors: qian x. J Hazard Mater. 2024 Dec 26;486:137018. doi: 10.1016/j.jhazmat.2024.137018. Online ahead of print. J Hazard Mater. 2024. PMID: 39740544

2

Rapid diagnosis of heavy metal pollution in lake sediments based on environmental magnetism and machine learning.

Li X, Yang Y, Yang J, Fan Y, Qian X, Li H. Li X, et al. Among authors: qian x. J Hazard Mater. 2021 Aug 15;416:126163. doi: 10.1016/j.jhazmat.2021.126163. Epub 2021 May 21. J Hazard Mater. 2021. PMID: 34492941

3

New insights into the long-term dynamics and deposition-suspension distribution of atmospheric microplastics in an urban area.

Rao W, Fan Y, Li H, Qian X, Liu T. Rao W, et al. Among authors: qian x. J Hazard Mater. 2024 Feb 5;463:132860. doi: 10.1016/j.jhazmat.2023.132860. Epub 2023 Oct 26. J Hazard Mater. 2024. PMID: 37918068

4

Exploring the primary magnetic parameters affecting chemical fractions of heavy metal(loid)s in lake sediment through an interpretable workflow.

Deng L, Fan Y, Liu K, Zhang Y, Qian X, Li M, Wang S, Xu X, Gao X, Li H. Deng L, et al. Among authors: qian x. J Hazard Mater. 2024 Apr 15;468:133859. doi: 10.1016/j.jhazmat.2024.133859. Epub 2024 Feb 22. J Hazard Mater. 2024. PMID: 38402686

5

Complex microplastics significantly influence the assembly process of lake bacterial communities.

Li M, Xu X, Wang J, Deng L, Wu Z, Yang D, Qian X, Fan Y. Li M, et al. Among authors: qian x. J Hazard Mater. 2024 Dec 5;480:135867. doi: 10.1016/j.jhazmat.2024.135867. Epub 2024 Sep 17. J Hazard Mater. 2024. PMID: 39298943

6

Distribution and sedimentation of microplastics in Taihu Lake.

Zhang Q, Liu T, Liu L, Fan Y, Rao W, Zheng J, Qian X. Zhang Q, et al. Among authors: qian x. Sci Total Environ. 2021 Nov 15;795:148745. doi: 10.1016/j.scitotenv.2021.148745. Epub 2021 Jun 28. Sci Total Environ. 2021. PMID: 34252771

7

Novel simulation of aqueous total nitrogen and phosphorus concentrations in Taihu Lake with machine learning.

Lu H, Yang L, Fan Y, Qian X, Liu T. Lu H, et al. Among authors: qian x. Environ Res. 2022 Mar;204(Pt B):111940. doi: 10.1016/j.envres.2021.111940. Epub 2021 Sep 30. Environ Res. 2022. PMID: 34599896

8

Improving the efficiency of machine learning in simulating sedimentary heavy metal contamination by coupling preposing feature selection methods.

Deng L, Gao X, Xia B, Wang J, Dai Q, Fan Y, Wang S, Li H, Qian X. Deng L, et al. Among authors: qian x. Chemosphere. 2023 May;322:138205. doi: 10.1016/j.chemosphere.2023.138205. Epub 2023 Feb 21. Chemosphere. 2023. PMID: 36822525

9

Spatiotemporal occurrence and characteristics of microplastics in the urban road dust in a megacity, eastern China.

Fan Y, Zheng J, Xu W, Zhang Q, Chen N, Wang H, Qian X, Wang G. Fan Y, et al. Among authors: qian x. J Hazard Mater. 2024 Apr 15;468:133733. doi: 10.1016/j.jhazmat.2024.133733. Epub 2024 Feb 8. J Hazard Mater. 2024. PMID: 38367435

10

Integration of interpretable machine learning and environmental magnetism elucidates reduction mechanism of bioavailable potentially toxic elements in lakes after monsoon.

Deng L, Fan Y, Li M, Wang S, Xu X, Gao X, Li H, Qian X, Li X. Deng L, et al. Among authors: qian x. Sci Total Environ. 2024 Dec 1;954:176418. doi: 10.1016/j.scitotenv.2024.176418. Epub 2024 Sep 23. Sci Total Environ. 2024. PMID: 39322082

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