Identifying the origin of groundwater samples in a multi-layer aquifer system with Random Forest classification

Identifying the origin of groundwater samples in a multi-layer aquifer system with Random Forest classification

Accurate identification of the origin of groundwater samples is not always possible in complex multilayered aquifers. This poses a major difficulty for a reliable interpretation of geochemical results. The problem is especially severe when the information on the tubewells design is hard to obtain. T...

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Bibliographische Detailangaben
Hauptverfasser: Baudron, Paul, Alonso Sarría, Francisco, García Aróstegui, José Luis, Cánovas García, Fulgencio, Martínez Vicente, David, Moreno Brotóns, Jesús
Format: info:eu-repo/semantics/article
Sprache:English
Veröffentlicht: 2024
Schlagworte:
multi-layer aquifer
longscreen boreholes
machine learning
random Forest
hydrogeochemistry
hydrogeology
Online Zugang:https://www.sciencedirect.com/science/article/pii/S002216941300526X
http://hdl.handle.net/10835/15253
http://dx.doi.org/10.1016/j.jhydrol.2013.07.009

Online

https://www.sciencedirect.com/science/article/pii/S002216941300526X
http://hdl.handle.net/10835/15253
http://dx.doi.org/10.1016/j.jhydrol.2013.07.009

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