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Can I read A Wavelet-assisted Deep Learning Approach for Simulating Groundwater Levels Affected by Low-frequency Variability on EtoBox?
A Wavelet-assisted Deep Learning Approach for Simulating Groundwater Levels Affected by Low-frequency Variability by Sivarama Krishna Reddy Chidepudi; Nicolas Massei; Abderrahim Jardani; Abel Henriot; Delphine Allier; Lisa Baulon is a Environmental Science article available to read on EtoBox.
What is A Wavelet-assisted Deep Learning Approach for Simulating Groundwater Levels Affected by Low-frequency Variability about?
Groundwater level (GWL) simulations allow the generation of reconstructions for exploring the past temporal variability of groundwater resources or provide the means for generating projections under climate change on decadal scales. In this context, analyzing GWLs affected by low-frequency variations is crucial. In this study, we assess the capabilities of three deep learning (DL) models (long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional LSTM (BiLSTM)) in simulating three types of GWLs affected by varying low-frequency behavior: inertial (dominated by low-frequency), annual (dominated by annual cyclicity) and mixed (in which both annual and low-frequency variations have high amplitude). We also tested if maximal overlap discrete wavelet transform pre-processing (MODWT) of input variables helps to better identify the frequency content most relevant for the models (MODWT-DL models). Only external variables (i.e., precipitation, air temperature as raw data, and effective precipitation (EP)) were used as input. Results indicate that for inertial-type GWLs, MODWT-DL models with raw data were notably more accurate than standalone models. However, DL models perf
Who reads A Wavelet-assisted Deep Learning Approach for Simulating Groundwater Levels Affected by Low-frequency Variability?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Sivarama Krishna Reddy Chidepudi; Nicolas Massei; Abderrahim Jardani; Abel Henriot; Delphine Allier; Lisa Baulon
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Environmental Science (Physical Sciences)