Application of machine learning in groundwater quality modeling-A comprehensive review

R Haggerty, J Sun, H Yu, Y Li - Water Research, 2023 - Elsevier
Groundwater is a crucial resource across agricultural, civil, and industrial sectors. The
prediction of groundwater pollution due to various chemical components is vital for planning …

GIS-based multicriteria and artificial neural network (ANN) investigation for the assessment of groundwater vulnerability and pollution hazard in the Braga shallow …

H Smida, M Tarki, N Gammoudi, L Dassi - Journal of Contaminant …, 2023 - Elsevier
Groundwater vulnerability and pollution hazard in the Braga shallow aquifer were assessed
through an integrated GIS-based multicriteria analysis and Artificial Neural Network (ANN) …

Integrated variable weight model and improved DRASTIC model for groundwater vulnerability assessment in a shallow porous aquifer

H Yu, Q Wu, Y Zeng, L Zheng, L Xu, S Liu, D Wang - Journal of Hydrology, 2022 - Elsevier
Accurate and effective assessment of groundwater vulnerability is very important for
ensuring a healthy groundwater ecosystem. We evaluate the vulnerability of shallow porous …

Novel machine learning algorithms to predict the groundwater vulnerability index to nitrate pollution at two levels of modeling

HE Elzain, SY Chung, S Venkatramanan, S Selvam… - Chemosphere, 2023 - Elsevier
The accurate map** and assessment of groundwater vulnerability index are crucial for the
preservation of groundwater resources from the possible contamination. In this research …

Assessment of intrinsic aquifer vulnerability at continental scale through a critical application of the drastic framework: The case of South America

F Rama, G Busico, JL Arumi, N Kazakis… - Science of the Total …, 2022 - Elsevier
An assessment of the intrinsic aquifer vulnerability of South America is presented. The
outcomes represent the potential sensitivity of natural aquifers to leaching of dissolved …

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 …

Modelling groundwater level variations by learning from multiple models using fuzzy logic

AA Nadiri, K Naderi, R Khatibi… - Hydrological sciences …, 2019 - Taylor & Francis
Modelling time series of groundwater levels is investigated by three fuzzy logic (FL) models,
Sugeno (SFL), Mamdani (MFL) and Larsen (LFL), using data from observation wells. One …

Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation

A Arabameri, SC Pal, F Rezaie, R Chakrabortty… - Journal of …, 2021 - Elsevier
Land subsidence (LS) in arid and semi-arid areas, such as Iran, is a significant threat to
sustainable land management. The purpose of this study is to predict the LS distribution by …

New hybrid evolutionary algorithm for optimizing index-based groundwater vulnerability assessment method

M Torkashvand, A Neshat, S Javadi, B Pradhan - Journal of Hydrology, 2021 - Elsevier
Limited hydrogeological data accessibility leads scholars to improve the robustness of
present qualitative groundwater vulnerability assessment methods using mathematical …

Designing dynamic groundwater management strategies through a composite groundwater vulnerability model: Integrating human-related parameters into the …

X Guo, H **ong, H Li, X Gui, X Hu, Y Li, H Cui… - Environmental …, 2023 - Elsevier
Groundwater nitrate contamination has emerged as a pressing global concern. Given its
potential for long-term impacts on aquifers, protective measures should primarily focus on …