Mathematical and machine learning models for groundwater level changes: a systematic review and bibliographic analysis

S Afrifa, T Zhang, P Appiahene, V Varadarajan - Future Internet, 2022 - mdpi.com
With the effects of climate change such as increasing heat, higher rainfall, and more
recurrent extreme weather events including storms and floods, a unique approach to …

The analysis on groundwater storage variations from GRACE/GRACE-FO in recent 20 years driven by influencing factors and prediction in Shandong Province, China

W Li, L Bao, G Yao, F Wang, Q Guo, J Zhu, J Zhu… - Scientific Reports, 2024 - nature.com
Monitoring and predicting the regional groundwater storage (GWS) fluctuation is an
essential support for effectively managing water resources. Therefore, taking Shandong …

A novel hybrid random forest linear model approach for forecasting groundwater fluoride contamination

MB Nafouanti, J Li, EE Nyakilla… - … Science and Pollution …, 2023 - Springer
Groundwater quality in the Datong basin is threatened by high fluoride contamination.
Laboratory analysis is a standard method for estimating groundwater quality parameters …

An efficient wastewater collection model for groundwater resource protection in smart cities

J Balamurugan, N Kasthuri, JS Sudarsan… - Groundwater for …, 2024 - Elsevier
Efficient wastewater collection is a critical concern in the development of smart cities, where
sustainable urban infrastructure is paramount. In the context of smart city wastewater …

[HTML][HTML] Downscaling and validating GLDAS groundwater storage anomalies by integrating precipitation for recharge and actual evapotranspiration for discharge

C Viviers, M van der Laan, Z Gaffoor… - Journal of Hydrology …, 2024 - Elsevier
Abstract Study region The Steenkoppies Catchment is located approximately 75 km
southwest from Pretoria, South Africa (RSA). Study focus This study tested a framework for …

A comparison of ensemble and deep learning algorithms to model groundwater levels in a data-scarce aquifer of Southern Africa

Z Gaffoor, K Pietersen, N Jovanovic, A Bagula… - Hydrology, 2022 - mdpi.com
Machine learning and deep learning have demonstrated usefulness in modelling various
groundwater phenomena. However, these techniques require large amounts of data to …

[HTML][HTML] A dynamical downscaling method of groundwater storage changes using GRACE data

J Sun, L Hu, X Cao, D Liu, X Liu, K Sun - Journal of Hydrology: Regional …, 2023 - Elsevier
Abstract Study region The Northwest inland region of China. Study focus The use of Gravity
Recovery and Climate Experiment (GRACE) satellite data for assessing groundwater …

Machine learning based groundwater prediction in a data-scarce basin of Ghana

EK Siabi, YT Dile, AT Kabo-Bah… - Applied Artificial …, 2022 - Taylor & Francis
Groundwater (GW) is a key source of drinking water and irrigation to combat growing food
insecurity and for improved water access in rural sub-Saharan Africa. However, there are …

Deep learning models for multi-step prediction of water levels incorporating meteorological variables and historical data

L Chen, Z Wang, Z Jiang, X Lin - Stochastic Environmental Research and …, 2024 - Springer
Precise multi-step water level predictions are crucial for managing water resources and
mitigating the effects of extreme weather. This study introduces a novel approach by …

Climate change impact assessment on groundwater level changes: A study of hybrid model techniques

S Afrifa, T Zhang, X Zhao, P Appiahene… - IET Signal …, 2023 - Wiley Online Library
One of the most important sources of water supply is groundwater. However, the
groundwater level (GWL) is significantly impacted by the global climate change. Therefore …