- Titel:
Predicting high-frequency nutrient dynamics in the Danube River with surrogate models using sensors and Random Forest
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Tran, Yen Binh ; Arias-Rodriguez, Leonardo F. ; Huang, Jingshui
- Stichworte:
- Water ; water quality ; surrogate ; nutrient concentration ; Random Forest ; Multiple Linear Regression ; soft sensor ; real-time
- Zeitschriftentitel:
- Frontiers in Water
- Jahr:
- 2022
- Band / Volume:
- 4
- Volltext / DOI:
- doi:10.3389/frwa.2022.894548
- Verlag / Institution:
- Frontiers Media S.A.
- E-ISSN:
- 2624-9375
- Publikationsdatum:
- 17.08.2022
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
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