Predicting and analysing the quality of water resources for industrial purposes using integrated data-intelligent algorithms

JC Egbueri - Groundwater for Sustainable Development, 2022 - Elsevier
The continuous increase in the rate of industrialization in developing countries, in recent
times, calls for continuous industrial water quality assessment and prediction. This is to …

Combining data-intelligent algorithms for the assessment and predictive modeling of groundwater resources quality in parts of southeastern Nigeria

JC Egbueri, JC Agbasi - Environmental Science and Pollution Research, 2022 - Springer
Abstract Machine learning algorithms have proven useful in the estimation, classification,
and prediction of water quality parameters. Similarly, indexical modeling has enhanced the …

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 …

An Integrated GIS and Machine-Learning Technique for Groundwater Quality Assessment and Prediction in Southern Saudi Arabia

M El-Rawy, O Batelaan, F Alshehri, S Almadani… - Water, 2023 - mdpi.com
One of the most critical stages for developing groundwater resources for drinking water use
is assessing the water quality. The use of a Water Quality Index (WQI) is considered an …

Performances of MLR, RBF-NN, and MLP-NN in the evaluation and prediction of water resources quality for irrigation purposes under two modeling scenarios

JC Egbueri, JC Agbasi - Geocarto International, 2022 - Taylor & Francis
One of the pivotal decision-making tools for sustainable management of water resources for
various uses is accurate prediction of water quality. In the present paper, multiple linear …

Application of artificial intelligence models for modeling water quality in groundwater: comprehensive review, evaluation and future trends

MS Hanoon, AN Ahmed, CM Fai, AH Birima… - Water, Air, & Soil …, 2021 - Springer
This study reported the state of the art of different artificial intelligence (AI) methods for
groundwater quality (GWQ) modeling and introduce a brief description of common AI …

Recent advances in surface water quality prediction using artificial intelligence models

Q Zhang, X You - Water Resources Management, 2024 - Springer
Accurate water quality prediction plays a vital role in sustainable water management. The
artificial intelligence models commonly used in water management including artificial neural …

Exploring artificial intelligence techniques for groundwater quality assessment

P Agrawal, A Sinha, S Kumar, A Agarwal, A Banerjee… - Water, 2021 - mdpi.com
Freshwater quality and quantity are some of the fundamental requirements for sustaining
human life and civilization. The Water Quality Index is the most extensively used parameter …

Modeling of groundwater quality index by using artificial intelligence algorithms in northern Khartoum State, Sudan

MAA Mohammed, NAA Khleel, NP Szabó… - Modeling Earth Systems …, 2023 - Springer
In the present study, multilayer perceptron (MLP) neural network and support vector
regression (SVR) models were developed to assess the suitability of groundwater for …

Indexical and artificial neural network modeling of the quality, corrosiveness, and encrustation potential of groundwater in industrialized metropolises, Southeast …

JC Egbueri, CO Unigwe, JC Agbasi… - Environment …, 2023 - Springer
Adequate evaluation, monitoring, and prediction of groundwater resources are essential
because humans heavily rely on groundwater for drinking, domestic, and industrial needs …