ICA–instrumentation, control and automation–is a hidden technology. It is ubiquitous in all
industrial processes, including water and wastewater treatment systems. Still, as long as …

Rheological behaviour is an important fluid property that severely impacts its flow behaviour
and many aspects related to this. In the case of activated sludge, the apparent viscosity has …

A full-scale biological nutrient removal wastewater treatment process was simulated using
artificial intelligence. In wastewater treatment plants, adaptive machine learning models can …

Mathematical modelling of activated sludge systems is used widely for plant design,
optimisation, training, controller design and research. The quality of simulation studies …

The aim of this work is to present revised and improved model parameters for group-
contribution+ (GC+) models (combined group-contribution (GC) method and atom …

Providing a robust and reliable model is essential for hydro-environmental and public health
engineering perspectives, including water treatment plants (WTPs). The current research …

Wastewater treatment process control optimization is a complex task in a highly nonlinear
environment. Reinforcement learning (RL) is a machine learning technique that stands out …

In this paper, we discuss validation of hydrological models, namely the process of evaluating
performance of a simulation and/or prediction model. We briefly review the validation …

When direct wastewater biological treatment is unfeasible, a cost-and resource-efficient
alternative to direct chemical treatment consists of combining biological treatment with a …

This paper makes a critical review of the available techniques for analysing, completing and
generating influent data for WWTP modelling. The solutions found in literature are classified …