A machine learning-based rapid water quality estimation method for stormwater outfalls: A case study in Xiamen, China
- DOI
- 10.1007/s10661-026-16126-y
- Published
- 2026-11-06
- Container
- Environmental Monitoring and Assessment
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-16126-y,
title = {A machine learning-based rapid water quality estimation method for stormwater outfalls: A case study in Xiamen, China},
author = {Baozong Wang and Yi Pan and Linhao Xiao and Peigen Lin and Qi Tian and Yanxiang Zhuang and Junmo Tan and Wenting Lin and Jiping Wang and Acong Chen},
year = {2026},
journal = {Environmental Monitoring and Assessment},
doi = {10.1007/s10661-026-16126-y},
url = {https://doi.org/10.1007/s10661-026-16126-y}
}RIS
TY - JOUR TI - A machine learning-based rapid water quality estimation method for stormwater outfalls: A case study in Xiamen, China AU - Baozong Wang AU - Yi Pan AU - Linhao Xiao AU - Peigen Lin AU - Qi Tian AU - Yanxiang Zhuang AU - Junmo Tan AU - Wenting Lin AU - Jiping Wang AU - Acong Chen PY - 2026 JO - Environmental Monitoring and Assessment DO - 10.1007/s10661-026-16126-y UR - https://doi.org/10.1007/s10661-026-16126-y ER -
APA
Wang, B., Pan, Y., Xiao, L., Lin, P., Tian, Q., Zhuang, Y., Tan, J., Lin, W., Wang, J., & Chen, A. (2026). A machine learning-based rapid water quality estimation method for stormwater outfalls: A case study in Xiamen, China. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-026-16126-y
Source records
- crossref · retrieved 2026-11-08T05:09:44.515Z