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 …

Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data

S Samani, M Vadiati, Z Nejatijahromi, B Etebari… - … Science and Pollution …, 2023 - Springer
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 …

Modeling of soil moisture movement and wetting behavior under point-source trickle irrigation

DK Vishwakarma, R Kumar, SA Abed, N Al-Ansari… - Scientific Reports, 2023 - nature.com
The design and selection of ideal emitter discharge rates can be aided by accurate
information regarding the wetted soil pattern under surface drip irrigation. The current field …

[HTML][HTML] Improving results of existing groundwater numerical models using machine learning techniques: A review

C Di Salvo - Water, 2022 - mdpi.com
This paper presents a review of papers specifically focused on the use of both numerical
and machine learning methods for groundwater level modelling. In the reviewed papers …

Groundwater level simulation using soft computing methods with emphasis on major meteorological components

S Samani, M Vadiati, F Azizi, E Zamani… - Water Resources …, 2022 - Springer
Precise estimation of groundwater level (GWL) might be of great importance for attaining
sustainable development goals and integrated water resources management. Compared …

[HTML][HTML] Adaptive water management in the face of uncertainty: Integrating machine learning, groundwater modeling and robust decision making

ME Miro, D Groves, B Tincher, J Syme… - Climate Risk …, 2021 - Elsevier
This study examines climate change and water resources management challenges facing
water suppliers in drought-prone regions and is particularly relevant to the American West …

Novel approach for predicting groundwater storage loss using machine learning

Z Kayhomayoon, NA Azar, SG Milan… - Journal of …, 2021 - Elsevier
Comprehensive national estimates of groundwater storage loss (GSL) are needed for better
management of natural resources. This is especially important for data scarce regions with …

Artificial neural networks vis-à-vis MODFLOW in the simulation of groundwater: A review

N Zeydalinejad - Modeling Earth Systems and Environment, 2022 - Springer
Although numerical and non-numerical models of groundwater flow and transport have
separately been reviewed in several studies, they have not hitherto been reviewed …

Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering

R Muñoz-Carpena, A Carmona-Cabrero, Z Yu… - PLoS Water, 2023 - journals.plos.org
Hydrology is a mature physical science based on application of first principles. However, the
water system is complex and its study requires analysis of increasingly large data available …