A Bayesian network model to assess the public health risk associated with wet weather sewer overflows discharging into waterways

Goulding, R, Jayasuriya, N and Horan, E 2012, 'A Bayesian network model to assess the public health risk associated with wet weather sewer overflows discharging into waterways', Water Research, vol. 46, no. 16, pp. 4933-4940.


Document type: Journal Article
Collection: Journal Articles

Title A Bayesian network model to assess the public health risk associated with wet weather sewer overflows discharging into waterways
Author(s) Goulding, R
Jayasuriya, N
Horan, E
Year 2012
Journal name Water Research
Volume number 46
Issue number 16
Start page 4933
End page 4940
Total pages 8
Publisher IWA Publishing
Abstract Overflows from sanitary sewers during wet weather, which occur when the hydraulic capacity of the sewer system is exceeded, are considered a potential threat to the ecological and public health of the waterways which receive these overflows. As a result, water retailers in Australia and internationally commit significant resources to manage and abate sewer overflows. However, whilst some studies have contributed to an increased understanding of the impacts and risks associated with these events, they are relatively few in number and there still is a general lack of knowledge in this area. A Bayesian network model to assess the public health risk associated with wet weather sewer overflows is presented in this paper. The Bayesian network approach is shown to provide significant benefits in the assessment of public health risks associated with wet weather sewer overflows. In particular, the ability for the model to account for the uncertainty inherent in sewer overflow events and subsequent impacts through the use of probabilities is a valuable function. In addition, the paper highlights the benefits of the probabilistic inference function of the Bayesian network in prioritising management options to minimise public health risks associated with sewer overflows.
Subject Water Quality Engineering
Environmental Engineering Modelling
Environmental Management
Keyword(s) Bayesian networks
Sanitary sewer overflows
Risk assessment
Water pollution
DOI - identifier 10.1016/j.watres.2012.03.044
Copyright notice © 2012 IWA Publishing
ISSN 0043-1354
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