Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: comparing the performances of different algorithms

JC Egbueri, JC Agbasi - Environmental Science and Pollution Research, 2022 - Springer
In recent decades, the simulation and modeling of water quality parameters have been
useful for monitoring and assessment of the quality of water resources. Moreover, the use of …

Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain

H Moayedi, M Salari, AA Dehrashid, BN Le - … Environmental Research and …, 2023 - Springer
In recent decades, qualitative and quantitative assessments of groundwater sources reveal
that efficient and accurate optimization approaches may assist in solving the multiple …

Modeling potential arsenic enrichment and distribution using stacking ensemble learning in the lower Yellow River Plain, China

W Cao, Y Fu, Y Cheng, W Zhai, X Sun, Y Ren… - Journal of Hydrology, 2023 - Elsevier
In the high arsenic area of the northern Henan Plain in the lower Yellow River, the
interaction between surface water and groundwater is frequent due to the control of …

Investigating landfill leachate and groundwater quality prediction using a robust integrated artificial intelligence model: Grey wolf metaheuristic optimization algorithm …

M Alizamir, Z Kazemi, Z Kazemi, M Kermani, S Kim… - Water, 2023 - mdpi.com
The likelihood of surface water and groundwater contamination is higher in regions close to
landfills due to the possibility of leachate percolation, which is a potential source of pollution …

Estimation of unconfined aquifer transmissivity using a comparative study of machine learning models

Z Dashti, M Nakhaei, M Vadiati, GH Karami… - Water Resources …, 2023 - Springer
Groundwater management is key to attaining sustainable development goals, especially in
arid and semi-arid countries. Hence, a precise estimate of the aquifer hydrodynamic …

Groundwater quality modeling and determining critical points: a comparison of machine learning to Best–Worst Method

A Nasiri Khiavi, R Mostafazadeh, M Adhami - Environmental Science and …, 2023 - Springer
In Iran, similar to other developing countries, groundwater quality has been seriously
threatened. Therefore, this study aimed to apply Machine Learning Algorithms (MLAs) in …

A fuzzy interval dynamic optimization model for surface and groundwater resources allocation under water shortage conditions, the case of West Azerbaijan Province …

P Azari, S Sobhanardakani, M Cheraghi… - … Science and Pollution …, 2024 - Springer
The allocation of water in areas which face shortage of water especially during hot dry
seasons is of utmost importance. This is normally affected by various factors, the …

Prediction of arsenic and fluoride in groundwater of the North China Plain using enhanced stacking ensemble learning

W Cao, Z Zhang, Y Fu, L Zhao, Y Ren, T Nan, H Guo - Water Research, 2024 - Elsevier
Chronic exposure to elevated geogenic arsenic (As) and fluoride (F−) concentrations in
groundwater poses a significant global health risk. In regions around the world where …

Fluoride contamination in African groundwater: Predictive modeling using stacking ensemble techniques

US Usman, YHM Salh, B Yan, JP Namahoro… - Science of The Total …, 2024 - Elsevier
Fluoride contamination of groundwater is a severe public health problem in Africa due to
natural factors that include geological weathering of fluoride-bearing minerals and climatic …

Comparative analysis of machine learning techniques for estimating groundwater deuterium and oxygen-18 isotopes

B Cemek, H Arslan, E Küçüktopcu, H Simsek - … Research and Risk …, 2022 - Springer
Isotope techniques are most frequently used when hydrochemical analysis are insufficient to
determine the origin and quality of groundwater and reveal seawater intrusion into …