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[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities
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 …
economic development of humans worldwide. Water is used for various purposes, including …
Groundwater level forecasting with machine learning models: A review
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 …
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
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 …
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 …
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
Real-time streamflow forecasting is essential to manage water resources effectively in a
reservoir-regulated basin. However, forecasting becomes challenging without weather and …
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
Groundwater level forecasting is significantly crucial for the sustainable management of
water resources, especially for arid and semi-arid regions where groundwater resources are …
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
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 …
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
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 …
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 …
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
The impacts of climate change on hydrology underscore the urgency of understanding
watershed hydrological patterns for sustainable water resource management. The …
watershed hydrological patterns for sustainable water resource management. The …