Advancing AI-based pan-European groundwater monitoring

Advancing AI-based pan-European groundwater monitoring

The main challenge of pan-European groundwater (GW) monitoring is the sparsity of collated water table depth ( wtd ) observations. The wtd anomaly ( wtd _a ) is a measure of the increased wtd due to droughts. Combining long short-term memory (LSTM) networks and transfer learning (TL), we propose an...

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Bibliographic Details
Main Authors: Yueling Ma, Carsten Montzka, Bibi S Naz, Stefan Kollet
Format: Article
Language:English
Published: IOP Publishing 2022-01-01
Series:Environmental Research Letters
Subjects:
groundwater
water table depth anomaly
artificial intelligence (AI)
long short-term memory (LSTM) network
transfer learning
LSTM-TL
Online Access:https://doi.org/10.1088/1748-9326/ac9c1e

Internet

https://doi.org/10.1088/1748-9326/ac9c1e

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