S. Ferraris

Pure and physics-guided deep learning approaches for spatio-temporal groundwater level prediction

An attention-based pure deep learning model is proposed to predict weekly groundwater levels of 28 piezometers in the Cuneo and Torino provinces in Piedmont (Italy), leveraging both irregular groundwater time series and weather image sequences by considering physics-guided strategies to inject the groundwater flow equa...