Imaging Hyporheic Exchange by Integrating Deep Learning and Physics‐Informed Inversion of Time‐Lapse Self‐Potential Data

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Pubblicato in:	Geophysical Research Letters vol. 52, no. 21 (Nov 16, 2025)
Autore principale:	Yin, Huichao
Altri autori:	Ikard, Scott J., Rucker, Dale F., Brooks, Scott C., Dai, Zhenxue, Carroll, Kenneth C.
Pubblicazione:	John Wiley & Sons, Inc.
Soggetti:	Geology Tomography Surface water Datasets Deep learning Exchanging Physics Optimization Data assimilation Stream flow Numerical analysis Hydrology Image processing Numerical methods Floodplains Hydrogeology Groundwater Equilibrium flow Subsurface flow Methods Dipole moments Algorithms Stream discharge Mathematical models Environmental
Accesso online:	Citation/Abstract Full Text Full Text - PDF
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