Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …

The control of disinfection byproducts (DBPs) in swimming pools is of great significance due
to the non-negligible toxicity and widespread existence of DBPs. However, the management …

Alkylphenols (APs) are ubiquitous and generally present in higher residue levels in the
environment. The present work focuses on the development of a set of in silico models to …

Ozone‒chlor (am) ine is a commonly used combination of disinfectants in drinking water
treatment. Although there are quite a few studies on the formation of some individual DBPs …

Determining the occurrence of disinfection byproducts (DBPs) in drinking water distribution
system (DWDS) remains challenging. Predicting DBPs using readily available water quality …

Abstract Water/wastewater ((waste) water) disinfection, as a critical process during drinking
water or wastewater treatment, can simultaneously inactivate pathogens and remove …

Herein, machine learning approaches were employed to predict the kinetic constant of the
organic pollutant degradation process in a peroxymonosulfate environment with a typical Fe …

Background Knowledge about human exposure and health effects associated with non-
routinely monitored disinfection by-products (DBPs) in drinking water is sparse. Objective To …

The adsorption of atmospheric gas molecules and the low-dimensional TiO 2 species are
relevant for the atmospheric photochemistry and energy-related photoelectrochemistry. In …

Integration of the Internet of Things (IoT) into the fields of wastewater treatment and water
quality prediction has the potential to revolutionize traditional approaches and address …