Researcher

My Expertise

Prof Stuetz leads an interdisciplinary research group focused on water, wastewater and waste management processes in natural and engineered systems. He has specific research interests in the characterisation and fate of contaminants in aquatic and atmospheric environments and the development of management approaches to understand community perception and engagement.

Fields of Research (FoR)

Environmental Engineering, Environmental Monitoring, Wastewater Treatment Processes, Water Treatment Processes, Water Quality Engineering

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Biography

Professor and Deputy Head of School (Education)
School of Civil and Environmental Engineering

Prof Stuetz research is in the fate of contaminants in atmospheric and aquatic systems with specific interests in:

- Assessment of volatile emissions in environmental, industrial, agricultural, medical and defence application using chemical and sensorial methods

- Management of emissions from water, wastewater, waste management and intensive animal...view more

Location

Civil Engineering Building (H20)
Level 3, Room CE304
Kensington Campus

Contact

(+61 2) 9385 5944

Research Activities

Algal and cyanobacteria blooms are of particular concern in drinking water resources due to their adverse impact on treatment processes, as well as their potential to release harmful toxins and taste and odour compounds into water supplies. Waste stabilisation ponds used for the advanced treatment of wastewater are also highly susceptible to algal activity which can limit recycled water production. DAF is commonly employed for algae removal but often times with only limited success. Traditionally, DAF is preceded by coagulation/flocculation in which chemical modification of the algal…

Complaints due to odour annoyance have become a major issue for intensive livestock, waste management and wastewater treatment operators. Odour assessment (using dilution olfactometry) does not take into account odour quality or their intensity, which is needed to be defined to understand olfactory impact. The proposal aims to apply a sensory analysis approach using olfactory-GC-MS to characterise different odorous emissions. A range of pattern recognition techniques, from simple statistical analyse to artificial neural networks will be used to summarise the data for nuisance evaluation to…