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The development of dissolved oxygen forecast model using hybrid machine learning algorithm with hydro-meteorological variables
Dissolved oxygen (DO) forecasting is essential for aquatic managers responsible for maintaining ecosystem health and the management of water bodies affected by water quality parameters. This paper aims to forecast dissolved oxygen (DO) concentration using a multivariate adaptive regression spline (M...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894995/ https://www.ncbi.nlm.nih.gov/pubmed/36045185 http://dx.doi.org/10.1007/s11356-022-22601-z |