Removal of the textile dyes by a resin adsorbent polymeric: Insight into optimization, kinetics and isotherms adsorption phenomenally
J Bensalah - Inorganic Chemistry Communications, 2023 - Elsevier
The aim of this study was to characterize the bioadsorbent present and how it can be used in
adsorption-based waste disposal of the toxic cationic dyes study as well, methylene blue …
adsorption-based waste disposal of the toxic cationic dyes study as well, methylene blue …
Revolutionizing groundwater management with hybrid AI models: A practical review
M Zaresefat, R Derakhshani - Water, 2023 - mdpi.com
Developing precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …
quality and quantity, is crucial for improving water resources planning and management. In …
[HTML][HTML] Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach
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 …
development goals, it is crucial to consistently monitor and manage groundwater quality …
Machine learning framework for intelligent aeration control in wastewater treatment plants: Automatic feature engineering based on variation sliding layer
Intelligent control of wastewater treatment plants (WWTPs) has the potential to reduce
energy consumption and greenhouse gas emissions significantly. Machine learning (ML) …
energy consumption and greenhouse gas emissions significantly. Machine learning (ML) …
Trace element pollution tracking in the complex multi-aquifer groundwater system of Al-Hassa oasis (Saudi Arabia) using spatial, chemometric and index-based …
SI Abba, MA Yassin, SMH Shah, JC Egbueri… - Environmental …, 2024 - Elsevier
In a global context, trace element pollution assessment in complex multi-aquifer
groundwater systems is important, considering the growing concerns about water resource …
groundwater systems is important, considering the growing concerns about water resource …
[HTML][HTML] Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches
Abstract The Rooppur Nuclear Power Plant (RNPP) at Ishwardi, Bangladesh is planning to
go into operation within 2024 and therefore, adjacent areas of RNPP is gaining adequate …
go into operation within 2024 and therefore, adjacent areas of RNPP is gaining adequate …
Towards design of Internet of Things and machine learning-enabled frameworks for analysis and prediction of water quality
The degradation of water quality has become a critical concern worldwide, necessitating
innovative approaches for monitoring and predicting water quality. This paper proposes an …
innovative approaches for monitoring and predicting water quality. This paper proposes an …
Practical application of machine learning for organic matter and harmful algal blooms in freshwater systems: A review
The application of machine learning (ML) techniques for understanding and predicting
organic matter (OM) and harmful algal blooms (HABs) in freshwater systems has increased …
organic matter (OM) and harmful algal blooms (HABs) in freshwater systems has increased …
Predictive modeling and analysis of key drivers of groundwater nitrate pollution based on machine learning
Y Deng, X Ye, X Du - Journal of Hydrology, 2023 - Elsevier
Nitrate comtamination of shallow groundwater in agricultural intensification regions is a
prevalent and global environment issue affecting food security, human health, and the water …
prevalent and global environment issue affecting food security, human health, and the water …
An innovative approach for predicting groundwater TDS using optimized ensemble machine learning algorithms at two levels of modeling strategy
Groundwater salinization in coastal aquifers is a major socioeconomic challenge in Oman
and many other regions worldwide due to several anthropogenic activities and natural …
and many other regions worldwide due to several anthropogenic activities and natural …