Coupling process-based and deep learning models for interpretable prediction of urban stormwater quality.
- DOI
- 10.1016/j.watres.2026.127203
- Published
- 2026 Oct 24
- Container
- Water research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.127203,
title = {Coupling process-based and deep learning models for interpretable prediction of urban stormwater quality.},
author = {Yuan G and Wei P and Luo W and Yuan B and Chen X and Lin K and Feng C},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2026.127203},
url = {https://doi.org/10.1016/j.watres.2026.127203}
}RIS
TY - JOUR TI - Coupling process-based and deep learning models for interpretable prediction of urban stormwater quality. AU - Yuan G AU - Wei P AU - Luo W AU - Yuan B AU - Chen X AU - Lin K AU - Feng C PY - 2026 JO - Water research DO - 10.1016/j.watres.2026.127203 UR - https://doi.org/10.1016/j.watres.2026.127203 ER -
APA
G, Y., P, W., W, L., B, Y., X, C., K, L., & C, F. (2026). Coupling process-based and deep learning models for interpretable prediction of urban stormwater quality.. Water research. https://doi.org/10.1016/j.watres.2026.127203
Source records
- pubmed · retrieved 2026-11-06T21:58:57.538Z