A review on machine learning, artificial intelligence, and smart technology in water treatment and monitoring

M Lowe, R Qin, X Mao - Water, 2022 - mdpi.com
Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …

The occurrence, formation and transformation of disinfection byproducts in the water distribution system: A review

F Dong, J Zhu, J Li, C Fu, G He, Q Lin, C Li… - Science of The Total …, 2023 - Elsevier
Disinfection is an effective process to inactivate pathogens in drinking water treatment.
However, disinfection byproducts (DBPs) will inevitably form and may cause severe health …

A novel method integrating response surface method with artificial neural network to optimize membrane fabrication for wastewater treatment

B Li, R Yue, L Shen, C Chen, R Li, Y Xu… - Journal of Cleaner …, 2022 - Elsevier
Develo** high performance membranes is an urgent need to resolve water pollution
problem. Electroless nickel plating (ENP) has been emerging as a promising membrane …

Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization

H Salem, AE Kabeel, EMS El-Said, OM Elzeki - Desalination, 2022 - Elsevier
Today artificial intelligence is a major utility technology that can help industry and research
in many fields, including solar thermal energy for water desalination purposes. Hence, the …

A novel composite membrane for simultaneous separation and catalytic degradation of oil/water emulsion with high performance

L Rao, X You, B Chen, L Shen, Y Xu, M Zhang, H Hong… - Chemosphere, 2022 - Elsevier
It is of great significance to develop novel membranes with dual-function of simultaneously
separating oil/water emulsion and degrading the contained water-miscible toxic organic …

Deciphering spatial pattern of groundwater chemistry and nitrogen pollution in Poyang Lake Basin (eastern China) using self-organizing map and multivariate …

H Mao, G Wang, Z Rao, F Liao, Z Shi, X Huang… - Journal of Cleaner …, 2021 - Elsevier
Characterizing regional groundwater chemistry/quality is of great importance for sustainable
water resource management, and is still a challenge due to spatial complexity caused by …

[HTML][HTML] Deciphering the role of polyethylene microplastics on antibiotic resistance genes and mobile genetic elements fate in sludge thermophilic anaerobic digestion …

S Wang, D Zeng, B **, Y Su, Y Zhang - Chemical Engineering Journal, 2023 - Elsevier
The retention of microplastics in sewage sludge, a reservoir of antibiotic resistance genes
(ARGs) and mobile genetic elements (MGEs), has attracted increasing attention. However …

Trichloroethylene remediation using zero-valent iron with kaolin clay, activated carbon and bacteria

J Zhu, L Zhang, J Liu, S Zhong, P Gao, J Shen - Water Research, 2022 - Elsevier
Nanoscale particles of zero-valent iron were used to form a permeable reactive barrier
whose performance in dechlorinating a solution of trichloroethylene was compared with that …

Pulsed electric field applications for the extraction of bioactive compounds from food waste and by-products: a critical review

T Chatzimitakos, V Athanasiadis, D Kalompatsios… - Biomass, 2023 - mdpi.com
The food processing industry is a continuously develo** sector that uses innovative
technologies to efficiently process food products. During processing, food industries …

Lignosulfonate valorization into a Cu-containing magnetically recyclable photocatalyst for treating wastewater pollutants in aqueous media

Y Orooji, K Pakzad, M Nasrollahzadeh - Chemosphere, 2022 - Elsevier
This study presents an eco-friendly and economical process for preparing a magnetic
copper complex conjugated to modified calcium lignosulfonate (LS) through a diamine (Fe 3 …