Understanding Australia by analysing wastewater during the Census 2021 (2021–2025)

Abstract:
This project aims to utilise the Australian Census 2021, a unique opportunity to link exposure to chemical and biological hazards with catchment socio-demographic data via systematic wastewater analysis. The project is expected to advance our capabilities to identify emerging hazards and understand factors that affect spatiotemporal trends in hazards across Australia. Moreover, in a world first, the project aims to assess chemical fate on a national level by linking sales/use with fate and release from wastewater treatment plants and assess treatment efficiency at >100 plants around Australia. The project expects to provide insight for government, wastewater managers and industry into hazards that may affect environmental and human health.
Grant type:
ARC Linkage Projects
Researchers:
  • ARC Australian Laureate Fellow
    Queensland Alliance for Environmental Health Sciences
    Faculty of Health and Behavioural Sciences
  • Senior Research Fellow
    Queensland Alliance for Environmental Health Sciences
    Faculty of Health and Behavioural Sciences
  • Senior Research Fellow
    Queensland Alliance for Environmental Health Sciences
    Faculty of Health and Behavioural Sciences
  • Senior Research Fellow, ARC
    Queensland Alliance for Environmental Health Sciences
    Faculty of Health and Behavioural Sciences
  • Senior Principal Research Fellow
    Queensland Alliance for Environmental Health Sciences
    Faculty of Health and Behavioural Sciences
  • Principal Research Fellow
    Queensland Alliance for Environmental Health Sciences
    Faculty of Health and Behavioural Sciences
  • Professorial Research Fellow
    School of Public Health
    Faculty of Medicine
  • Associate Professor
    School of Chemical Engineering
    Faculty of Engineering, Architecture and Information Technology
    Associate Professor
    Australian Centre for Water and Environmental Biotechnology
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council