A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts

A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts

Abstract Developing precise groundwater level (GWL) forecast models is essential for the optimal usage of limited groundwater resources and sustainable planning and management of water resources. In this study, an improved forecasting accuracy for up to 3 weeks ahead of GWLs in Bangladesh was achiev...

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Bibliographic Details
Main Authors: Dilip Kumar Roy, Ahmed A. Hashem, Michele L. Reba, Deborah L. Leslie, John Nowlin
Format: Article
Language:English
Published: Springer 2024-04-01
Series:Discover Water
Subjects:
Groundwater level forecasts
Long short-term memory networks
Wavelet packet transform
Variable selection
Random forest
Online Access:https://doi.org/10.1007/s43832-024-00073-1

Internet

https://doi.org/10.1007/s43832-024-00073-1

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