Environmental numerical models for predicting chemical transport and fate: From multimedia mass balance to machine learning
- DOI
- 10.1016/j.ecoenv.2026.120944
- Published
- 2026-10
- Container
- Ecotoxicology and Environmental Safety
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ecoenv.2026.120944,
title = {Environmental numerical models for predicting chemical transport and fate: From multimedia mass balance to machine learning},
author = {Songyue Yang and Shengkai Cao and Xiaodi Zhang and Meiyan Hu and Guangshui Na},
year = {2026},
journal = {Ecotoxicology and Environmental Safety},
doi = {10.1016/j.ecoenv.2026.120944},
url = {https://doi.org/10.1016/j.ecoenv.2026.120944}
}RIS
TY - JOUR TI - Environmental numerical models for predicting chemical transport and fate: From multimedia mass balance to machine learning AU - Songyue Yang AU - Shengkai Cao AU - Xiaodi Zhang AU - Meiyan Hu AU - Guangshui Na PY - 2026 JO - Ecotoxicology and Environmental Safety DO - 10.1016/j.ecoenv.2026.120944 UR - https://doi.org/10.1016/j.ecoenv.2026.120944 ER -
APA
Yang, S., Cao, S., Zhang, X., Hu, M., & Na, G. (2026). Environmental numerical models for predicting chemical transport and fate: From multimedia mass balance to machine learning. Ecotoxicology and Environmental Safety. https://doi.org/10.1016/j.ecoenv.2026.120944
Source records
- crossref · retrieved 2026-11-06T13:57:57.293Z