Mapped Predictions of Manganese and Arsenic in an Alluvial Aquifer Using Boosted Regression Trees

Manganese (Mn) concentrations and the probability of arsenic (As) exceeding the drinking‐water standard of 10 μg/L were predicted in the Mississippi River Valley alluvial aquifer (MRVA) using boosted regression trees (BRT). BRT, a type of ensemble‐tree machine‐learning model, were created using pred...

Descripción completa

Detalles Bibliográficos
Autores principales: Knierim, Katherine J., Kingsbury, James A., Belitz, Kenneth, Stackelberg, Paul E., Minsley, Burke J., Rigby, J.R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2022
Materias:
Research Papers/
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302655/
https://www.ncbi.nlm.nih.gov/pubmed/34951475
http://dx.doi.org/10.1111/gwat.13164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302655/
https://www.ncbi.nlm.nih.gov/pubmed/34951475
http://dx.doi.org/10.1111/gwat.13164

Ejemplares similares