Comparing Physics‐Based, Conceptual and Machine‐Learning Models to Predict Groundwater Levels by BMA

Groundwater level observations are used as decision variables for aquifer management, often in conjunction with models to provide predictions for operational forecasting. In this study, we compare different model classes for this task: a spatially explicit 3D groundwater flow model (MODFLOW), an eig...

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Veröffentlicht in:	Ground water Jg. 63; H. 4; S. 484 - 505
Hauptverfasser:	Wöhling, Thomas, Delgadillo, Alvaro Oliver Crespo, Kraft, Moritz, Guthke, Anneli
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Malden, US Blackwell Publishing Ltd 01.07.2025 Ground Water Publishing Company
Schlagworte:	Aquifer management Aquifers Bayesian analysis Bayesian theory Calibration Decision trees Environmental Monitoring - methods Forecasting Groundwater Groundwater - analysis Groundwater flow Groundwater levels Learning algorithms Machine Learning Mathematical models Models, Theoretical New Zealand Physics Predictions Probability theory Research Paper Spoil Three dimensional flow Water Movements Wells New Zealand
ISSN:	0017-467X, 1745-6584, 1745-6584
Online-Zugang:	Volltext
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