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 …

Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis

A Patel, A Kethavath, NL Kushwaha, A Naorem… - … Applications of Artificial …, 2023 - Elsevier
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 …

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 …

Dissolved oxygen prediction using a new ensemble method

O Kisi, M Alizamir, AR Docheshmeh Gorgij - Environmental Science and …, 2020 - Springer
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 …

Multi-model ensemble prediction of pan evaporation based on the Copula Bayesian Model Averaging approach

A Seifi, M Ehteram, F Soroush, AT Haghighi - Engineering Applications of …, 2022 - Elsevier
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** …

A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA)

M Gharekhani, AA Nadiri, R Khatibi… - Journal of environmental …, 2022 - Elsevier
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 …

Investigation of discharge coefficient of trapezoidal labyrinth weirs using artificial neural networks and support vector machines

R Norouzi, R Daneshfaraz, A Ghaderi - Applied Water Science, 2019 - Springer
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 …

Reliable prediction of the discharge coefficient of triangular labyrinth weir based on soft computing techniques

SM Seyedian, AH Haghiabi, A Parsaie - Flow Measurement and …, 2023 - Elsevier
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 …

A framework for 'Inclusive Multiple Modelling'with critical views on modelling practices–Applications to modelling water levels of Caspian Sea and Lakes Urmia and …

R Khatibi, MA Ghorbani, S Naghshara, H Aydin… - Journal of …, 2020 - Elsevier
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 …

[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 …