Quantitative impact assessment of sewer condition on health risk

Journal Article (2018)
Author(s)

Marco Bijnen (TU Delft - Sanitary Engineering)

Hans Korving (TU Delft - Mathematical Physics, Deltares)

JG Langeveld (Partners4UrbanWater, TU Delft - Sanitary Engineering)

F. H.L.R. Clemens (TU Delft - Sanitary Engineering, Deltares)

Research Group
Sanitary Engineering
Copyright
© 2018 J.A.C. van Bijnen, J.L. Korving, J.G. Langeveld, F.H.L.R. Clemens
DOI related publication
https://doi.org/10.3390/w10030245
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 J.A.C. van Bijnen, J.L. Korving, J.G. Langeveld, F.H.L.R. Clemens
Research Group
Sanitary Engineering
Issue number
3
Volume number
10
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Abstract

Due to a variety of contaminants in floodwater, exposure to urban pluvial flooding may pose a health risk to humans. In-sewer defects may cause increased pluvial flooding, possibly increasing health risks. This paper addresses the impact of in-sewer defects on urban pluvial flooding and, subsequently, on infection probabilities for humans. As such, it provides a necessary input for risk-informed sewer maintenance strategies in order to preserve the hydraulic performance of a sewer system. Critical locations in sewer networks can be safeguarded through detecting changes in hydraulic properties of the sewer system, by using monitoring equipment or alternative inspection methods. Two combined sewer systems in The Netherlands with different characteristics are studied. The catchment-wide average infection probability was calculated using Quantitative Microbial Risk Assessment (QMRA) and flooding frequencies from Monte Carlo simulations with a hydrodynamic model. For the studied catchments, it is concluded that the occurrence of flooding is significantly affected by sediment deposits and, consequently, the infection probability as well. The impact of sediment deposits on infection probabilities depends on sewer systems characteristics and varies within the catchment. The results in this paper also demonstrate that further research on the relationship between flood duration and infection probabilities is required.