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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 …
Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis
The challenges of urbanization, land degradation, water scarcity, and climate change are
threatening agricultural systems and food security. Therefore, it is essential to manage land …
threatening agricultural systems and food security. Therefore, it is essential to manage land …
Prediction of effluent quality in a wastewater treatment plant by dynamic neural network modeling
Y Yang, KR Kim, R Kou, Y Li, J Fu, L Zhao… - Process Safety and …, 2022 - Elsevier
Improving the operation, management, and consequent performance of wastewater
treatment plants (WWTPs) for conserving the water environment is crucial. Recent …
treatment plants (WWTPs) for conserving the water environment is crucial. Recent …
Dissolved oxygen prediction using a new ensemble method
Prediction of dissolved oxygen which is an important water quality (WQ) parameter is crucial
for aquatic managers who have responsibility for the ecosystem health's maintenance and …
for aquatic managers who have responsibility for the ecosystem health's maintenance and …
Multi-model ensemble prediction of pan evaporation based on the Copula Bayesian Model Averaging approach
Pan evaporation (E p) is an efficient and practical tool for planning and managing water
resources, understanding the water balance in hydrological processes, and develo** …
resources, understanding the water balance in hydrological processes, and develo** …
A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA)
Abstract Bayesian Model Averaging (BMA) is used to study inherent uncertainties using the
Basic DRASTIC Framework (BDF) for assessing the groundwater vulnerability in a study …
Basic DRASTIC Framework (BDF) for assessing the groundwater vulnerability in a study …
Investigation of discharge coefficient of trapezoidal labyrinth weirs using artificial neural networks and support vector machines
Weirs are a commonly used system to adjust water surface level and to control the flow in
canals and hydraulic structures. Labyrinth weirs are a type of weirs that can pass through a …
canals and hydraulic structures. Labyrinth weirs are a type of weirs that can pass through a …
Reliable prediction of the discharge coefficient of triangular labyrinth weir based on soft computing techniques
Weirs are important hydraulic structures widely used to control the flow rates in open
channels and rivers. As a remarkable parameter, the discharge coefficient (Cd) determines …
channels and rivers. As a remarkable parameter, the discharge coefficient (Cd) determines …
A framework for 'Inclusive Multiple Modelling'with critical views on modelling practices–Applications to modelling water levels of Caspian Sea and Lakes Urmia and …
A framework is formulated in this paper for data-driven modelling practices to characterise
Inclusive Multiple Modelling (IMM) practices with multiple goals of enhancing the extracted …
Inclusive Multiple Modelling (IMM) practices with multiple goals of enhancing the extracted …
[HTML][HTML] Inclusive Multiple Models (IMM) for predicting groundwater levels and treating heterogeneity
R Khatibi, AA Nadiri - Geoscience Frontiers, 2021 - Elsevier
An explicit model management framework is introduced for predictive Groundwater Levels
(GWL), particularly suitable to Observation Wells (OWs) with sparse and possibly …
(GWL), particularly suitable to Observation Wells (OWs) with sparse and possibly …