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...

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Detalles Bibliográficos
Autores principales: Ahmed, Abul Abrar Masrur, Jui, S. Janifer Jabin, Chowdhury, Mohammad Aktarul Islam, Ahmed, Oli, Sutradha, Ambica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research Article
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

Internet

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

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