Interpretable machine learning predictions reveal climate-driven escalation of arsenic in Tibetan alpine headwater rivers.
- DOI
- 10.1016/j.jhazmat.2026.143506
- Published
- 2026 Sep 4
- Container
- Journal of hazardous materials
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jhazmat.2026.143506,
title = {Interpretable machine learning predictions reveal climate-driven escalation of arsenic in Tibetan alpine headwater rivers.},
author = {Chai L and Sun J and Yu H and Wang X and Zhang R and Zhou Y and Dong H and Gong P},
year = {2026},
journal = {Journal of hazardous materials},
doi = {10.1016/j.jhazmat.2026.143506},
url = {https://doi.org/10.1016/j.jhazmat.2026.143506}
}RIS
TY - JOUR TI - Interpretable machine learning predictions reveal climate-driven escalation of arsenic in Tibetan alpine headwater rivers. AU - Chai L AU - Sun J AU - Yu H AU - Wang X AU - Zhang R AU - Zhou Y AU - Dong H AU - Gong P PY - 2026 JO - Journal of hazardous materials DO - 10.1016/j.jhazmat.2026.143506 UR - https://doi.org/10.1016/j.jhazmat.2026.143506 ER -
APA
L, C., J, S., H, Y., X, W., R, Z., Y, Z., H, D., & P, G. (2026). Interpretable machine learning predictions reveal climate-driven escalation of arsenic in Tibetan alpine headwater rivers.. Journal of hazardous materials. https://doi.org/10.1016/j.jhazmat.2026.143506
Source records
- pubmed · retrieved 2026-09-26T01:56:34.702Z