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 …
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 …
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 …
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 …
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 …
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
Groundwater management is key to attaining sustainable development goals, especially in
arid and semi-arid countries. Hence, a precise estimate of the aquifer hydrodynamic …
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
In Iran, similar to other developing countries, groundwater quality has been seriously
threatened. Therefore, this study aimed to apply Machine Learning Algorithms (MLAs) in …
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 …
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
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 …
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 …
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
Isotope techniques are most frequently used when hydrochemical analysis are insufficient to
determine the origin and quality of groundwater and reveal seawater intrusion into …
determine the origin and quality of groundwater and reveal seawater intrusion into …