no code implementations • Journal of Hydrology 627 (2023) 130359 2023 • Daniele Secci, *, Maria Giovanna Tanda a, Marco D’Oria, Valeria Todaro
Considering an aquifer located in northern Italy as a case study, the neural networks were trained to replicate observed groundwater levels by taking as input precipitation and temperature records, and in the case of the NARX also antecedent groundwater levels, on a monthly scale.
