Predicting water quality with artificial intelligence: a review of methods and applications

D Irwan, M Ali, AN Ahmed, G Jacky, A Nurhakim… - … Methods in Engineering, 2023 - Springer
The water is the main pivotal sources of irrigation in agricultural activities and affects human
daily activities such as drinking. The water quality has a significant impact on various …

Current status and prospects of algal bloom early warning technologies: A Review

Y Peng, W Zhang, X Yang, Z Zhang, G Zhu… - Journal of Environmental …, 2024 - Elsevier
In recent years, frequent occurrences of algal blooms due to environmental changes have
posed significant threats to the environment and human health. This paper analyzes the …

[HTML][HTML] A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches

MG Uddin, S Nash, A Rahman, AI Olbert - Water Research, 2023 - Elsevier
With the significant increase in WQI applications worldwide and lack of specific application
guidelines, accuracy and reliability of WQI models is a major issue. It has been reported that …

[HTML][HTML] Assessing optimization techniques for improving water quality model

MG Uddin, S Nash, A Rahman, AI Olbert - Journal of Cleaner Production, 2023 - Elsevier
In order to keep the" good" status of coastal water quality, it is essential to monitor and
assess frequently. The Water quality index (WQI) model is one of the most widely used …

Comparison between the WFD approaches and newly developed water quality model for monitoring transitional and coastal water quality in Northern Ireland

MG Uddin, A Jackson, S Nash, A Rahman… - Science of the Total …, 2023 - Elsevier
This study aims to evaluate existing approaches for monitoring and assessing water quality
in waterbodies in the North of Ireland using newly developed methodologies. The results …

[HTML][HTML] A sophisticated model for rating water quality

MG Uddin, S Nash, A Rahman, AI Olbert - Science of the Total Environment, 2023 - Elsevier
Here, we present the Irish Water Quality Index (IEWQI) model for assessing transitional and
coastal water quality in an effort to improve the method and develop a tool that can be used …

Optimization of water quality index models using machine learning approaches

F Ding, W Zhang, S Cao, S Hao, L Chen, X Xie, W Li… - Water Research, 2023 - Elsevier
To optimize the water quality index (WQI) assessment model, this study upgraded the
parameter weight values and aggregation functions. We determined the combined weights …

[HTML][HTML] Assessing and forecasting water quality in the Danube River by using neural network approaches

PL Georgescu, S Moldovanu, C Iticescu… - Science of the Total …, 2023 - Elsevier
The health and quality of the Danube River ecosystems is strongly affected by the nutrients
loads (N and P), degree of contamination with hazardous substances or with oxygen …

[HTML][HTML] Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model

MG Uddin, MTM Diganta, AM Sajib, A Rahman… - Environmental …, 2023 - Elsevier
The COVID-19 pandemic has significantly impacted various aspects of life, including
environmental conditions. Surface water quality (WQ) is one area affected by lockdowns …

[HTML][HTML] Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach

AM Sajib, MTM Diganta, A Rahman… - Groundwater for …, 2023 - Elsevier
Groundwater plays a pivotal role as a global source of drinking water. To meet sustainable
development goals, it is crucial to consistently monitor and manage groundwater quality …