Quantitative decoupling of source-pathway-receptor driving mechanisms for integrated soil risk via interpretable machine learning.
- DOI
- 10.1016/j.envpol.2026.129052
- Published
- 2026 Aug 27
- Container
- Environmental pollution (Barking, Essex : 1987)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.envpol.2026.129052,
title = {Quantitative decoupling of source-pathway-receptor driving mechanisms for integrated soil risk via interpretable machine learning.},
author = {Su C and Yang Y and Fu P},
year = {2026},
journal = {Environmental pollution (Barking, Essex : 1987)},
doi = {10.1016/j.envpol.2026.129052},
url = {https://doi.org/10.1016/j.envpol.2026.129052}
}RIS
TY - JOUR TI - Quantitative decoupling of source-pathway-receptor driving mechanisms for integrated soil risk via interpretable machine learning. AU - Su C AU - Yang Y AU - Fu P PY - 2026 JO - Environmental pollution (Barking, Essex : 1987) DO - 10.1016/j.envpol.2026.129052 UR - https://doi.org/10.1016/j.envpol.2026.129052 ER -
APA
C, S., Y, Y., & P, F. (2026). Quantitative decoupling of source-pathway-receptor driving mechanisms for integrated soil risk via interpretable machine learning.. Environmental pollution (Barking, Essex : 1987). https://doi.org/10.1016/j.envpol.2026.129052
Source records
- pubmed · retrieved 2026-09-25T10:21:58.353Z