Physics‐Guided Deep Learning Model for Daily Groundwater Table Maps Estimation Using Passive Surface‐Wave Dispersion

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Bibliographische Detailangaben
Veröffentlicht in:	Water Resources Research vol. 61, no. 1 (Jan 1, 2025)
1. Verfasser:	Cunha Teixeira, José
Weitere Verfasser:	Bodet, Ludovic, Rivière, Agnès, Hallier, Amélie, Gesret, Alexandrine, Dangeard, Marine, Dhemaied, Amine, Boisson Gaboriau, Joséphine
Veröffentlicht:	John Wiley & Sons, Inc.
Schlagworte:	Seismic waves Observational learning Resource management Multilayer perceptrons Artificial neural networks Neural networks Dispersion Hazard assessment Wave dispersion Groundwater Water monitoring Environmental management Water resources management Groundwater table Ambient noise Seismic velocities Wave data Training Root-mean-square errors Seismological data Wave phase Piezometers Water table Wavelengths Dispersion curve analysis Water resources Seismic activity P-waves Deep learning Maps Two dimensional analysis Frequency ranges Wave velocity Surface waves Physics Noise monitoring Depth Groundwater levels Environmental hazards Sensor arrays Estimation errors Seismic data Spatial discrimination learning Estimation Environmental
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