Karst spring discharge modeling based on deep learning using spatially distributed input data

<p>Despite many existing approaches, modeling karst water resources remains challenging as conventional approaches usually heavily rely on distinct system knowledge. Artificial neural networks (ANNs), however, require only little prior knowledge to automatically establish an input–output relat...

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Bibliographic Details
Main Authors: A. Wunsch, T. Liesch, G. Cinkus, N. Ravbar, Z. Chen, N. Mazzilli, H. Jourde, N. Goldscheider
Format: Article
Language:English
Published: Copernicus Publications 2022-05-01
Series:Hydrology and Earth System Sciences
Online Access:https://hess.copernicus.org/articles/26/2405/2022/hess-26-2405-2022.pdf