[HTML][HTML] The role of space-based observations for groundwater resource monitoring over Africa

A Springer, T Lopez, M Owor, F Frappart… - Surveys in Geophysics, 2023 - Springer
Africa is particularly vulnerable to climate change impacts, which threatens food security,
ecosystem protection and restoration initiatives, and fresh water resources availability and …

A comparative analysis of statistical and machine learning techniques for mapping the spatial distribution of groundwater salinity in a coastal aquifer

H Sahour, V Gholami, M Vazifedan - Journal of Hydrology, 2020 - Elsevier
Groundwater salinity in an aquifer system is typically measured through field studies (eg,
groundwater sampling, and direct current resistivity method). The field-based measurements …

[HTML][HTML] What can the GRACE seasonal cycle tell us about lake-aquifer interactions?

K Abdelmohsen, M Sultan, H Save, AZ Abotalib… - Earth-Science …, 2020 - Elsevier
Lake-aquifer interactions have been the subject of investigation and debate for decades.
Traditional investigation methods include measurement of water flux across the groundwater …

[HTML][HTML] Improving the resolution of GRACE data for spatio-temporal groundwater storage assessment

S Ali, D Liu, Q Fu, MJM Cheema, QB Pham… - Remote Sensing, 2021 - mdpi.com
Groundwater has a significant contribution to water storage and is considered to be one of
the sources for agricultural irrigation; industrial; and domestic water use. The Gravity …

Filling the data gaps within GRACE missions using singular spectrum analysis

S Yi, N Sneeuw - Journal of Geophysical Research: Solid Earth, 2021 - Wiley Online Library
Dozens of missing epochs in the monthly gravity product of the satellite mission Gravity
Recovery and Climate Experiment (GRACE) and its follow‐on (GRACE‐FO) mission greatly …

[HTML][HTML] Downscaling GRACE total water storage change using partial least squares regression

BD Vishwakarma, J Zhang, N Sneeuw - Scientific data, 2021 - nature.com
Abstract The Gravity Recovery And Climate Experiment (GRACE) satellite mission recorded
temporal variations in the Earth's gravity field, which are then converted to Total Water …

Drought monitoring by downscaling GRACE-derived terrestrial water storage anomalies: A deep learning approach

E Foroumandi, V Nourani, JJ Huang, H Moradkhani - Journal of Hydrology, 2023 - Elsevier
The current study proposes a new method to downscale the monthly GRACE-derived
Terrestrial Water Storage Anomaly (TWSA) to 10 km spatial resolution over Iran using deep …

[HTML][HTML] Groundwater prediction using machine-learning tools

EA Hussein, C Thron, M Ghaziasgar, A Bagula… - Algorithms, 2020 - mdpi.com
Predicting groundwater availability is important to water sustainability and drought
mitigation. Machine-learning tools have the potential to improve groundwater prediction …

Machine learning applications for water-induced soil erosion modeling and mapping

H Sahour, V Gholami, M Vazifedan, S Saeedi - Soil and Tillage Research, 2021 - Elsevier
Assessment of water-induced soil erosion as a crucial part of soil conservation plans is
costly and time-consuming when applied to an extensive area. In this study, we propose a …

Comparison of physical and data-driven models to forecast groundwater level changes with the inclusion of GRACE–A case study over the state of Victoria, Australia

W Yin, Z Fan, N Tangdamrongsub, L Hu, M Zhang - Journal of Hydrology, 2021 - Elsevier
Accurate prediction of groundwater levels (GWLs) is of significant importance in the
sustainable use and efficient management of groundwater resources. A comparative study is …