Application of machine learning in water resources management: A systematic literature review
In accordance with the rapid proliferation of machine learning (ML) and data management,
ML applications have evolved to encompass all engineering disciplines. Owing to the …
ML applications have evolved to encompass all engineering disciplines. Owing to the …
A comprehensive review of conventional, machine leaning, and deep learning models for groundwater level (GWL) forecasting
Groundwater level (GWL) refers to the depth of the water table or the level of water below the
Earth's surface in underground formations. It is an important factor in managing and …
Earth's surface in underground formations. It is an important factor in managing and …
Evaluation and prediction of groundwater quality for irrigation using an integrated water quality indices, machine learning models and GIS approaches: A …
Agriculture has significantly aided in meeting the food needs of growing population. In
addition, it has boosted economic development in irrigated regions. In this study, an …
addition, it has boosted economic development in irrigated regions. In this study, an …
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Regular monitoring and assessment of water quality is essential to maintain the quality of
lake water. A commonly used method for assessing water quality is the Water Quality Index …
lake water. A commonly used method for assessing water quality is the Water Quality Index …
Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data
Due to its heterogeneous and complex nature, groundwater modeling needs great effort to
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
Development of wavelet-based kalman online sequential extreme learning machine optimized with boruta-random forest for drought index forecasting
Drought is a stochastic and recurring hydrological natural hazard that occurs due to a
shortage of precipitation over a period of time. Drought forecasting in water resources …
shortage of precipitation over a period of time. Drought forecasting in water resources …
A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions
JL Uc-Castillo, AE Marín-Celestino… - … Modelling & Software, 2023 - Elsevier
Accurate and reliable groundwater level (GWL) forecasting is crucial for developing
strategies and managing water resources. In recent years, Machine Learning (ML) has …
strategies and managing water resources. In recent years, Machine Learning (ML) has …
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 …
Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting …
M Ehteram, E Ghanbari-Adivi - Environmental Science and Pollution …, 2023 - Springer
Groundwater level prediction is important for effective water management. Accurately
predicting groundwater levels allows decision-makers to make informed decisions about …
predicting groundwater levels allows decision-makers to make informed decisions about …
Revolutionizing groundwater management with hybrid AI models: A practical review
M Zaresefat, R Derakhshani - Water, 2023 - mdpi.com
Developing precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …
quality and quantity, is crucial for improving water resources planning and management. In …