AQUA360 invites contributions on the following themes and topics:

  1. Water Quality (including, but not limited to, analysis, fate and consequences of conventional and emerging contaminants in surface and groundwater, urban (green) water infrastructure water quality issues, antimicrobial resistance, remote and real time monitoring, sensors, modelling, case studies);

  2. Water Quantity (including, but not limited to, studies on urban water consumption and availability, demand supply balance, demand management approaches including water efficiency enablers, greywater recycling and rainwater harvesting);

  3. Water Treatment (lab and field scale studies on innovative treatment processes, their optimisation and modelling, energy efficient/solar desalination, synthesis and application of Nano adsorbents/materials);

  4. Wastewater Treatment (including, but not limited to, innovations into primary to tertiary biological, chemical and physical treatment processes, nutrients and energy recovery approaches, treatment facilities operation and maintenance optimisation, process modelling, and decision-making);

  5. Water and Wastewater Infrastructure Resilience and Sustainability (including, but not limited to, evaluation approaches, integrated water management, systems approaches, water distribution (including intermittent water supply) and wastewater collection networks analysis, life cycle analysis, economics, policy, institutional and social aspects, transition from centralised to decentralised systems and vice versa in the developing and the developed world, and innovative sanitation options);

  6. Water Smart Cities and Climate Change Adaptation (flood and drought risk quantification and management approaches);

  7. Water for Food (efficient irrigation, water recycling and reclamation for agricultural use, and desalination of seawater and brackish water for irrigation);

  8. Aqua Net Zero (approaches to reduce greenhouse gases including carbon foot print at water utility and domestic scales, innovative strategies to reduce and recover energy from water systems); and

  9. Digital Water (application of data science, including (but not limited to) AI, deep learning, mega data, data virtualisation, data governance etc, for water management).