Treffer: Comparing Physics-Based, Conceptual and Machine-Learning Models to Predict Groundwater Levels by BMA.

Comparing Physics-Based, Conceptual and Machine-Learning Models to Predict Groundwater Levels by BMA.

Wöhling T, Delgadillo AOC; Chair of Hydrology, Dresden University of Technology (TUD), 01069, Dresden, Germany., Kraft M; Chair of Hydrology, Dresden University of Technology (TUD), 01069, Dresden, Germany., Guthke A; University of Stuttgart, Stuttgart Center for Simulation Science (SC SimTech), 70569, Stuttgart, Germany.

Ground water [Ground Water] 2025 Jul-Aug; Vol. 63 (4), pp. 484-505. Date of Electronic Publication: 2025 Apr 21.

Journal Article; Comparative Study

English

Publisher: Blackwell Publishing Country of Publication: United States NLM ID: 9882886 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1745-6584 (Electronic) Linking ISSN: 0017467X NLM ISO Abbreviation: Ground Water Subsets: MEDLINE

Publication: 2005- : Malden, MA : Blackwell Publishing
Original Publication: Worthington, Ohio : Water Well Journal Pub. Co.,

Groundwater*/analysis , Machine Learning* , Models, Theoretical* , Environmental Monitoring*/methods, New Zealand ; Water Movements ; Forecasting

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1964-MLDC149 Ministry for Business Innovation and Employment; EXC 2075 390740016 Deutsche Forschungsgemeinschaft

Date Created: 20250421 Date Completed: 20250718 Latest Revision: 20250718

20250718

10.1111/gwat.13487

40256895

MEDLINE