A top-down deep learning model for predicting spatiotemporal dynamics of groundwater recharge

https://hdl.handle.net/10779/DRO/DU:23805849

journal contribution

posted on 2023-07-31, 01:59 authored by X Huang, L Gao, N Zhang, RS Crosbie, L Ye, J Liu, Z Guo, Q Meng, G Fu, Brett BryanBrett Bryan

A top-down deep learning model for predicting spatiotemporal dynamics of groundwater recharge

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DOI - Is version of https://doi.org/10.1016/j.envsoft.2023.105778

Location

Amsterdam, The Netherlands

Language

en

Publication classification

C1 Refereed article in a scholarly journal

Journal

Environmental Modelling and Software

Volume

167

Article number

105778

Pagination

1-16

ISSN

1364-8152

Publisher

Elsevier

Publication URL

http://dx.doi.org/10.1016/j.envsoft.2023.105778

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Keywords

groundwater recharge deep learning long short-term memory time series modelling machine learning multi-layer perception

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