Wastewater treatment companies are facing several challenges related to the optimization of
energy efficiency, meeting more restricted water quality standards, and resource recovery …

This paper surveys and discusses the application of data-derived soft-sensing techniques in
biological wastewater treatment plants. Emphasis is given to an extensive overview of the …

Due to the intrinsic complexity of wastewater treatment plant (WWTP) processes, it is always
challenging to respond promptly and appropriately to the dynamic process conditions in …

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

Continuous effluent quality prediction in wastewater treatment processes is crucial to
proactively reduce the risks to the environment and human health. However, wastewater …

This work critically reviews modeling concepts for standard activated sludge wastewater
treatment processes (eg, hydrolysis, growth and decay of organisms, etc.) for some of the …

Three global sensitivity analysis (GSA) methods are applied and compared to assess the
most relevant processes occurring in wastewater treatment systems. In particular, the …

In various cases in environmental modeling, modelers need to account for multiple variables
and multiple objectives in systems with many processes occurring at different time scales. To …

Monitoring and managing wastewater treatment plants (WWTPs) is crucial for environmental
protection. The presection of the quality of treated water is essential for energy efficient …

The effect of the carbon-to-nitrogen (C/N) ratio variation in a University of Cape Town
Membrane bioreactor (UCT-MBR) was investigated. The experimental campaign was …