[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities

AA Ahmed, S Sayed, A Abdoulhalik, S Moutari… - Journal of Cleaner …, 2024 - Elsevier
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …

Groundwater level forecasting with machine learning models: A review

KBW Boo, A El-Shafie, F Othman, MMH Khan… - Water Research, 2024 - Elsevier
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …

[HTML][HTML] 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 …

A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data

X Cui, Z Wang, N Xu, J Wu, Z Yao - Environmental Modelling & Software, 2024 - Elsevier
Groundwater level (GWL) prediction is important for ecological protection and resource
utilization; it helps in formulating policies for artificial groundwater recharge, modifying the …

Real-time streamflow forecasting in a reservoir-regulated river basin using explainable machine learning and conceptual reservoir module

K Sushanth, A Mishra, P Mukhopadhyay… - Science of the Total …, 2023 - Elsevier
Real-time streamflow forecasting is essential to manage water resources effectively in a
reservoir-regulated basin. However, forecasting becomes challenging without weather and …

A new real-time groundwater level forecasting strategy: Coupling hybrid data-driven models with remote sensing data

Q Zhang, P Li, X Ren, J Ning, J Li, C Liu, Y Wang… - Journal of …, 2023 - Elsevier
Groundwater level forecasting is significantly crucial for the sustainable management of
water resources, especially for arid and semi-arid regions where groundwater resources are …

Map** of groundwater salinization and modelling using meta-heuristic algorithms for the coastal aquifer of eastern Saudi Arabia

SI Abba, M Benaafi, AG Usman, DU Ozsahin… - Science of The Total …, 2023 - Elsevier
The growing increase in groundwater (GW) salinization in the coastal aquifers has reached
an alarming socio-economic menace in Saudi Arabia and various places globally due to …

[HTML][HTML] Vegetation coverage precisely extracting and driving factors analysis in drylands

H Wang, D Gui, Q Liu, X Feng, J Qu, J Zhao… - Ecological …, 2024 - Elsevier
Abstract Fractional Vegetation Coverage (FVC) is an essential indicator that captures
variations in vegetation and documents the impacts of climate change and human activity for …

Research on water resource modeling based on machine learning technologies

Z Liu, J Zhou, X Yang, Z Zhao, Y Lv - Water, 2024 - mdpi.com
Water resource modeling is an important means of studying the distribution, change,
utilization, and management of water resources. By establishing various models, water …

[HTML][HTML] Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models

S Kim, E Lee, HT Hwang, JC Pyo, D Yun, SS Baek… - Water Research X, 2024 - Elsevier
The impacts of climate change on hydrology underscore the urgency of understanding
watershed hydrological patterns for sustainable water resource management. The …