Velocity Field Estimation on Density‐Driven Solute Transport With a Convolutional Neural Network
AffiliationUniv Arizona, Biosphere 2
MetadataShow full item record
PublisherAMER GEOPHYSICAL UNION
CitationKreyenberg, P. J., Bauser, H. H., & Roth, K. (2019). Velocity field estimation on density-driven solute transport with a convolutional neural network. Water Resources Research, 55, 7275–7293. https://doi.org/10.1029/2019WR024833
JournalWATER RESOURCES RESEARCH
RightsCopyright © 2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractRecent advances in machine learning open new opportunities to gain deeper insight into hydrological systems, where some relevant system quantities remain difficult to measure. We use deep learning methods trained on numerical simulations of the physical processes to explore the possibilities of closing the information gap of missing system quantities. As an illustrative example we study the estimation of velocity fields in numerical and laboratory experiments of density‐driven solute transport. Using high‐resolution observations of the solute concentration distribution, we demonstrate the capability of the method to structurally incorporate the representation of the physical processes. Velocity field estimation for synthetic data for both variable and uniform concentration boundary conditions showed equal results. This capability is remarkable because only the latter was employed for training the network. Applying the method to measured concentration distributions of density‐driven solute transport in a Hele‐Shaw cell makes the velocity field assessable in the experiment. This assessability of the velocity field even holds for regions with negligible solute concentration between the density fingers, where the velocity field is otherwise inaccessible.
NoteOpen access article
VersionFinal published version
SponsorsMinisterium fur Wissenschaft, Forschung und Kunst Baden-Wurttemberg [Az 33-7533, Az 30-20/6/2]; Deutsche Forschungsgemeinschaft (DFG)German Research Foundation (DFG) [BA 6635/1-1]