Groundwater level forecasting in response to climate change scenarios in southwestern Saskatchewan using wavelet decomposition and artificial neural networks

Authors

Publication Details

Journal
Groundwater for Sustainable Development
Published
2025-11-01
DOI
https://doi.org/10.1016/j.gsd.2025.101550
Primary Topic
Hydrological Forecasting Using AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Groundwater level forecasting in response to climate change scenarios in southwestern Saskatchewan using wavelet decomposition and artificial neural networks

Mohamed Khafagy, Sarah Dickson‐Anderson, Corinne J. Schuster‐Wallace, Ahmed S. Okasha
Groundwater for Sustainable Development
Hydrological Forecasting Using AI
article

Groundwater level forecasting in response to climate change scenarios in southwestern Saskatchewan using wavelet decomposition and artificial neural networks

Mohamed Khafagy, Sarah Dickson‐Anderson, Corinne J. Schuster‐Wallace, Ahmed S. Okasha
article en

Abstract

No abstract available for this paper.
Groundwater for Sustainable DevelopmentVol. 31
Openalex Percentile: Top 67%
Hydrological Forecasting Using AI
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Groundwater level forecasting in response to climate change scenarios in southwestern Saskatchewan using wavelet decomposition and artificial neural networks — Mohamed Khafagy, Sarah Dickson‐Anderson, et al. · Groundwater for Sustainable Development (2025) | TGRS Research Map | TGRS