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 …

Revolutionizing groundwater management with hybrid AI models: A practical review

M Zaresefat, R Derakhshani - Water, 2023 - mdpi.com
Develo** precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …

[HTML][HTML] Advanced prediction models for scouring around bridge abutments: A comparative study of empirical and AI Techniques

ZU Khan, D Khan, N Murtaza, GA Pasha, S Alotaibi… - Water, 2024 - mdpi.com
Scouring is a major concern affecting the overall stability and safety of a bridge. The current
research investigated the effectiveness of the various artificial intelligence (AI) techniques …

Prediction of nitrate concentration and the impact of land use types on groundwater in the Nansi Lake Basin

J Iqbal, C Su, H Abbas, J Jiang, Z Han… - Journal of Hazardous …, 2025 - Elsevier
Groundwater faces a pervasive threat from anthropogenic nitrate contamination worldwide,
particularly in regions characterized by intensive agricultural practices. This study examines …

Experimental and Artificial Neural Network (ANN) modeling of instream vegetation hydrodynamic resistance

A Ahmed, M Valyrakis, AR Ghumman, R Farooq… - Hydrology, 2023 - mdpi.com
This study examines the impact of upstream structures on the bulk drag coefficient of
vegetation through experimental means, which has not been previously conducted. An …

[HTML][HTML] Machine learning algorithms to forecast wet-period rainfall using climate indices in Northern Territory of Australia

R Farooq, MA Imteaz, D Shangguan, K Hlavčová - Science Talks, 2024 - Elsevier
Accurate rainfall prediction is crucial for understanding and managing a region's social and
agricultural environment. As a key indicator of climate change, natural disasters, and local …

A Comparative Analysis of Sediment Concentration Using Artificial Intelligence and Empirical Equations

MA Khalid, AR Ghumman, GA Pasha - Hydrology, 2024 - mdpi.com
Morphological changes in canals are greatly influenced by sediment load dynamics, whose
estimation is a challenging task because of the non-linear behavior of the sediment …

Seasonal rainfall forecasting using wavelet based hybrid models

R Farooq, MA Imteaz - 2023 IEEE Engineering Informatics, 2023 - ieeexplore.ieee.org
Present study forecast the seasonal summer rainfall in two distinct Northern Territory (NT),
Australia stations by employing modified hybrid algorithms with a single level of …