Large-scale quantification of groundwater recharge threshold conditions using machine learning classifications: An attempt over the Australian continent

The large-scale quantification of groundwater recharge threshold conditions is a bottleneck in the field of research, considering that groundwater recharge processes can be quite complex and affected by different factors in different regions. Traditional statistical approaches have either focused on...

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Veröffentlicht in:	Groundwater for sustainable development 2023-05, Vol.21, p.100941, Article 100941
Hauptverfasser:	Hu, K.X., Awange, J.L., Kuhn, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Australia Classification tree evaporation Groundwater groundwater recharge Logistical regression rain Random forest regression analysis runoff soil water sustainable development Threshold vegetation
Online-Zugang:	Volltext
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