Conventional media filtration is the most common process used as one of the main barriers for pathogen and solids removal in water treatment. The Australian Drinking Water Guideline (2011) includes LRV credits for organisms based on treated water turbidity limits. However, the effectiveness of this treatment process in removing pathogens is not typically validated and performance can vary greatly between treatment plants. Hence, understanding the actual LRV performance of media filters is critical to both designing new treatment facilities and understanding any treatment shortfall for existing facilities.

A related protocol for the validation of membrane filters could potentially be adapted for the validation of granular filters. However, the requirements from health regulators, for validation design and safety considerations if surrogate organisms are used, are unknown. The practicality of application in full scale drinking water treatment plants to incorporate any health regulator needs also needs consideration. Therefore, capturing the health policy positions in various Australian jurisdictions and understanding any practical constraints to full-scale validation prior to developing the validation guide are critical to success.

This project will use a progressive approach to determine the regulatory requirements for the validation of drinking water processes, identify any practical constraints for full-scale process validation, and develop a validation protocol or identify further work required to address knowledge gaps or concerns related to the safety or technical feasibility of conducting full-scale validation of granular media filters (to produce drinking water in particular).

Algal and cyanobacterial blooms incur current treatment challenges such as high operational cost, disinfectant by-product formation, and the requirement to separate oxidants from solution after the oxidation. Advanced oxidation methods, such as cold plasma activated bubbles (CPAB), have the potential to overcome the current challenges . CPAB are bubbles containing partially or fully ionised gas that utilise the ambient condition of gas and an electric discharge to produce and deliver highly reactive oxygen and nitrogen species, such as ozone, hydrogen peroxide, hydroxyl, superoxide, and nitric oxide radicals. This project will examine methods to optimise the application of CPAB across a range of algal and cyanobacterial species to increase its technology readiness level.

PhD Thesis underway by Angelina.

By dewatering sludge, wastes can be efficiently and reliably concentrated into filter cakes with high solids for cost-effective disposal. Better understanding of the relationship between non-degradable organic matter and sludge rheology and dewaterability can lead to Optimization of dewatering which can significantly reduce the cost of wastewater treatment by minimizing the cost of sludge management, transportation, and final disposal.

PhD Thesis underway by Ali Tabatabaei.

The sustainable application of biosolids to agricultural land is being limited by many contaminants such as microbial pathogens, PFAS, microplastics, and heavy metals. The thermal treatment of biosolids via pyrolysis can destroy the microbial and organic contaminants; however, heavy metals remain a persistent problem with biosolids and its thermally derived products. Therefore, pyrolysis alone may not satisfactorily deal with the limiting problem of heavy metals in biosolids and biochar. This work is developing an integrated acid extraction and pyrolysis process to reduce the heavy metals load in biosolids and convert the pre-treated biosolids to useful carbon and nutrient rich biochar and valuable chemicals.

PhD Thesis underway by Ibrahim Hakeem.

Unexpected taste and odour (T&O) in drinking water is an emerging issue for the Australian water industry as it undermines customers’ trust in drinking water suppliers. Most water utilities monitor only cyanobacterial and microalgal populations, and measure only geosmin and MIB concentrations in raw water, which is likely to overlook the full extent of biogenic T&O challenges in the supply of drinking water. Conventional coagulation/flocculation/filtration are often adopted for T&O removal. The project intends to identify key producers in source water and determine the treatability of unknown T&O for the proactive management of drinking water.

PhD Thesis underway by Jin Zhu.

Asset management plays a significant role in modern industries, particularly in water utilities, in providing available and reliable service at an optimised asset Life Cycle Cost (LCC). Asset owners require an optimal life cycle decision support model for the longer-term asset strategy, planning and budgeting. There are numerous asset life models to predict physical, economic, and technological aspect of asset life, individually; however, there is currently no such model that combines all aspects. The aim of this project is to develop asset life cycle decision support model explicitly joint three aspects of asset lives and their determinants (i.e. physical age and degradation, operating, maintenance costs and technology changes). To this purpose, multi-objective optimisation method and stochastic dynamic programming would be applied to model an optimised asset renewal decision support. This model is expected to determine an optimal asset renewal and replacement decision support model at the lowest LCC in water industry, providing a stable and reliable service and having an optimised investment plan.

Thesis underway.

This project investigated the presence, removal and fate of illicit drugs and pharmaceuticals in wastewater treatment, using advanced instrumentation. These drugs are emerging environmental contaminants and potential hazards for the disposal and recycling of treated wastewater.  Outcomes from this project included the development of novel wastewater treatment methods and an early warning system for identifying new psychoactive drugs in the community.  The project provided benefits such as reduction in the environmental and human health risk for wastewater recycling.

PhD Thesis underway by Luis Restrepo.

This project established unifying framework for the calculation of robustness metrics, which assists with understanding how robustness metrics work, when they should be used, and why they sometimes disagree. The framework categorizes the suitability of metrics to a decision-maker based on the decision-context, the decision-makers’s preferred level of risk aversion, and the decision-maker’s preference towards maximising performance or minimising variance. This conceptual framework describes when different robustness metrics are likely to agree and disagree.

PhD Thesis completed by Cameron McPhail in August 2020.