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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] Groundwater level prediction using an improved SVR model integrated with hybrid particle swarm optimization and firefly algorithm
The demand for water resources has increased due to rapid increase of metropolitan areas
brought on by growth in population and industrialisation. In addition, the groundwater …
brought on by growth in population and industrialisation. In addition, the groundwater …
[HTML][HTML] Groundwater level prediction with machine learning to support sustainable irrigation in water scarcity regions
Predicting groundwater levels is challenging, especially in regions of water scarcity where
data availability is often limited. However, these regions have substantial water needs and …
data availability is often limited. However, these regions have substantial water needs and …
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 …
[HTML][HTML] Groundwater level dynamics in a subtropical fan delta region and its future prediction using machine learning tools: sustainable groundwater restoration
Abstract Study region The Damodar Fan Delta, West Bengal, India. Study focus The
depletion of groundwater resources worldwide is escalating due to its profuse demand for …
depletion of groundwater resources worldwide is escalating due to its profuse demand for …
[HTML][HTML] Long-term trend analysis of extreme climate in Sarawak tropical peatland under the influence of climate change
Extreme climate is one of the important variables which determine the capability of tropical
peatland to act as either carbon sink and/or carbon source. The purpose of this study is to …
peatland to act as either carbon sink and/or carbon source. The purpose of this study is to …
Groundwater Level forecasting using machine learning: a case study of the Baekje Weir in Four Major Rivers Project, South Korea
Understanding the impact of human‐made structures on groundwater levels is essential,
with structures like dams or weirs presenting unique challenges and opportunities for study …
with structures like dams or weirs presenting unique challenges and opportunities for study …
[HTML][HTML] A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges
The present study aims to thoroughly review GWL depletion monitoring studies completed
between 2000 and 2023 based on data-driven models and GIS approaches from a global …
between 2000 and 2023 based on data-driven models and GIS approaches from a global …
[HTML][HTML] Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing
Water infrastructure integrity, quality, and distribution are fundamental for public health,
environmental sustainability, economic development, and climate change resilience …
environmental sustainability, economic development, and climate change resilience …