A review of hybrid soft computing and data pre-processing techniques to forecast freshwater quality's parameters: Current trends and future directions

ZS Khudhair, SL Zubaidi, S Ortega-Martorell… - Environments, 2022 - mdpi.com
Water quality has a significant influence on human health. As a result, water quality
parameter modelling is one of the most challenging problems in the water sector. Therefore …

[HTML][HTML] Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches

AM Sajib, MTM Diganta, M Moniruzzaman… - Ecological …, 2024 - Elsevier
This study assessed water quality (WQ) in Tongi Canal, an ecologically critical and
economically important urban canal in Bangladesh. The researchers employed the Root …

Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection

NL Kushwaha, J Rajput, T Suna, DR Sena… - Ecological …, 2023 - Elsevier
Monitoring and assessing groundwater quality are important for sustainable water resource
management. Therefore, the present study aimed to analyze and predict the water quality …

Sampling frequency optimization of the water quality monitoring network in São Paulo State (Brazil) towards adaptive monitoring in a developing country

RGB de Almeida, MC Lamparelli, WK Dodds… - … Science and Pollution …, 2023 - Springer
Water quality monitoring networks (WQMNs) that capture both the temporal and spatial
dimensions are essential to provide reliable data for assessing water quality trends in …

An innovative approach for quality assessment and its contamination on surface water for drinking purpose in Mahanadi River Basin, Odisha of India, with the …

A Das - Applied Water Science, 2024 - Springer
Water is essential for life, as it supports bodily functions, nourishes crops, and maintains
ecosystems. Drinking water is crucial for maintaining good health and can also contribute to …

Review of Metaheuristic Methodologies for Leakage Reduction and Energy Saving in Water Distribution Networks

G Ferrarese, D Medoukali, D Mirauda… - Water Resources …, 2024 - Springer
Metaheuristic methods have emerged as powerful tools for solving complex optimization
problems in various domains, including the sustainability of water distribution systems. They …

River flood prediction through flow level modeling using multi-attention encoder-decoder-based TCN with filter-wrapper feature selection

G Selva Jeba, P Chitra - Earth Science Informatics, 2024 - Springer
Floods, among the most destructive climate-induced natural disasters, necessitate effective
prediction models for early warning systems. The proposed Multi-Attention Encoder …

Toward sustainable water quality monitoring systems using particle swarm, Ant Colony, and Tabu Search optimization methods

E Jahankhani, G Asadollahfardi, A Samadi - Quality & Quantity, 2024 - Springer
Considering the growing importance of sustainable development and value engineering in
various fields, especially in water quality management, superior attention has been paid to …

A Hybrid Method for Designing Sustainable River Monitoring Networks Using Fuzzy Logic Site Selection and Genetic Algorithm Optimization

F Salimian, R Ghiassi - Water Resources Management, 2024 - Springer
Water is a vital resource for safe life, and effective monitoring programs are essential to
manage floods, droughts, and the misuse of water resources. Surface water monitoring …

[Retracted] Design of Water Quality Monitoring System in Shaanxi Section of Weihe River Basin Based on the Internet of Things

T Dang, J Liu - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Monitoring environmental water quality in an efficient, cheap, and sustainable way can
better serve the country's strategic requirements for water resources and water ecological …