Application of machine learning in groundwater quality modeling-A comprehensive review
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 …
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) …
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 …
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
The accurate map** and assessment of groundwater vulnerability index are crucial for the
preservation of groundwater resources from the possible contamination. In this research …
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
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 …
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
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 …
Modelling groundwater level variations by learning from multiple models using fuzzy logic
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 …
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
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 …
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
Limited hydrogeological data accessibility leads scholars to improve the robustness of
present qualitative groundwater vulnerability assessment methods using mathematical …
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 …
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 …
potential for long-term impacts on aquifers, protective measures should primarily focus on …