A survey on river water quality modelling using artificial intelligence models: 2000–2020

TM Tung, ZM Yaseen - Journal of Hydrology, 2020 - Elsevier
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …

Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression …

M Rezaie-Balf, NF Attar, A Mohammadzadeh… - Journal of Cleaner …, 2020 - Elsevier
Water quality has a crucial impact on human health; therefore, water quality index modeling
is one of the challenging issues in the water sector. The accurate prediction of water quality …

[HTML][HTML] Performance analysis of the water quality index model for predicting water state using machine learning techniques

MG Uddin, S Nash, A Rahman, AI Olbert - Process Safety and …, 2023 - Elsevier
Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …

[HTML][HTML] Robust machine learning algorithms for predicting coastal water quality index

MG Uddin, S Nash, MTM Diganta, A Rahman… - Journal of …, 2022 - Elsevier
Coastal water quality assessment is an essential task to keep “good water quality” status for
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …

River water quality index prediction and uncertainty analysis: A comparative study of machine learning models

SBHS Asadollah, A Sharafati, D Motta… - Journal of environmental …, 2021 - Elsevier
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …

[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 …

Improving prediction of water quality indices using novel hybrid machine-learning algorithms

DT Bui, K Khosravi, J Tiefenbacher, H Nguyen… - Science of the Total …, 2020 - Elsevier
River water quality assessment is one of the most important tasks to enhance water
resources management plans. A water quality index (WQI) considers several water quality …

[HTML][HTML] Water quality prediction and classification based on principal component regression and gradient boosting classifier approach

MSI Khan, N Islam, J Uddin, S Islam… - Journal of King Saud …, 2022 - Elsevier
Estimating water quality has been one of the significant challenges faced by the world in
recent decades. This paper presents a water quality prediction model utilizing the principal …

[HTML][HTML] 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 …

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Z Wang, Q Wang, T Wu - Frontiers of Environmental Science & …, 2023 - Springer
Water quality prediction is vital for solving water pollution and protecting the water
environment. In terms of the characteristics of nonlinearity, instability, and randomness of …