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Abstract: Comparing Physics-Based and Machine Learning Approaches for Sustainable Aquifer Management in Emilia-Romagna (Italy) (AGU25)

Comparing Physics-Based and Machine Learning Approaches for Sustainable Aquifer Management in Emilia-Romagna (Italy)

Ilaria Delfini1, Daniel Zamrsky2,3 and Alberto Montanari1, (1)University of Bologna, Department of Civil, Chemical, Environmental, and Materials Engineering, Bologna, Italy, (2)Utrecht University, Department of Physical Geography, Utrecht, Netherlands, (3)IHE Delft Institute for Water Education, Water Resources and Ecology Department, Delft, Netherlands
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