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

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Bibliografske podrobnosti
izdano v:	Geophysical Research Letters vol. 52, no. 21 (Nov 16, 2025)
Glavni avtor:	Yin, Huichao
Drugi avtorji:	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
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