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

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Bibliografski detalji
Izdano u:	Geophysical Research Letters vol. 52, no. 21 (Nov 16, 2025)
Glavni autor:	Yin, Huichao
Daljnji autori:	Ikard, Scott J., Rucker, Dale F., Brooks, Scott C., Dai, Zhenxue, Carroll, Kenneth C.
Izdano:	John Wiley & Sons, Inc.
Teme:	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
Online pristup:	Citation/Abstract Full Text Full Text - PDF
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