Journal article
Potential of Bayesian networks for adaptive management in water recycling
Environmental Modelling and Software, Vol.91, pp.251-270
2017
Abstract
Water recycling is an important solution to increasing water scarcity. However, universal wastewater treatment standards deter uptake of recycling schemes. Lack of data also impedes fit-for-purpose water recycling and water managers are challenged by decision making under uncertain conditions. Bayesian networks (BNs) are increasingly recognised as a valuable tool for decision making under uncertainty. In this study BNs are used to model health risks associated with wastewater irrigation of a public open space. Three BNs based on quantitative microbial risk assessment model risk reduction potential along a treatment chain and at the site of reuse. The BNs simulate multiple exposure profiles and scenarios, providing conditional probability of infection or illness, comparable with health-based targets. Study findings highlight the significant impact of post treatment risk mitigation, despite challenging conditions. BNs provide a transparent, defensible evidence base for mapping and quantifying risk pathways, comparing decision options and predicting outcomes of management policies.
Details
- Title
- Potential of Bayesian networks for adaptive management in water recycling
- Authors
- Denise Beaudequin (Author) - Queensland University of TechnologyF Harden (Author) - Queensland University of TechnologyAnne H Roiko (Author) - Griffith UniversityK Mengersen (Author) - Queensland University of Technology
- Publication details
- Environmental Modelling and Software, Vol.91, pp.251-270
- Publisher
- Pergamon
- DOI
- 10.1016/j.envsoft.2017.01.016
- ISSN
- 1364-8152
- Organisation Unit
- University of the Sunshine Coast, Queensland; Thompson Institute; Sustainability Research Centre
- Language
- English
- Record Identifier
- 99450727902621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- Web Of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Environmental
- Environmental Sciences
- Water Resources
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