Quantitative Impact Assessment of Sewer Condition on Health Risk
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, subsequentl...
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MDPI AG
2018-02-01
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Series: | Water |
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Online Access: | http://www.mdpi.com/2073-4441/10/3/245 |
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author | Marco van Bijnen Hans Korving Jeroen Langeveld François Clemens |
author_facet | Marco van Bijnen Hans Korving Jeroen Langeveld François Clemens |
author_sort | Marco van Bijnen |
collection | DOAJ |
description | 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. |
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institution | Directory Open Access Journal |
issn | 2073-4441 |
language | English |
last_indexed | 2024-04-12T04:42:07Z |
publishDate | 2018-02-01 |
publisher | MDPI AG |
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series | Water |
spelling | doaj.art-47678f3939e24050be65719ff36522442022-12-22T03:47:35ZengMDPI AGWater2073-44412018-02-0110324510.3390/w10030245w10030245Quantitative Impact Assessment of Sewer Condition on Health RiskMarco van Bijnen0Hans Korving1Jeroen Langeveld2François Clemens3Department of Water management, Faculty of Civil Engineering and Geo Sciences, Delft University of Technology, P.O. Box 5048, Delft 2600 GA, The NetherlandsDeltares, P.O. Box 177, Delft 2600 MH, The NetherlandsDepartment of Water management, Faculty of Civil Engineering and Geo Sciences, Delft University of Technology, P.O. Box 5048, Delft 2600 GA, The NetherlandsDepartment of Water management, Faculty of Civil Engineering and Geo Sciences, Delft University of Technology, P.O. Box 5048, Delft 2600 GA, The NetherlandsDue 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.http://www.mdpi.com/2073-4441/10/3/245hydrodynamic modellinghealth riskurban drainagesewer maintenance |
spellingShingle | Marco van Bijnen Hans Korving Jeroen Langeveld François Clemens Quantitative Impact Assessment of Sewer Condition on Health Risk Water hydrodynamic modelling health risk urban drainage sewer maintenance |
title | Quantitative Impact Assessment of Sewer Condition on Health Risk |
title_full | Quantitative Impact Assessment of Sewer Condition on Health Risk |
title_fullStr | Quantitative Impact Assessment of Sewer Condition on Health Risk |
title_full_unstemmed | Quantitative Impact Assessment of Sewer Condition on Health Risk |
title_short | Quantitative Impact Assessment of Sewer Condition on Health Risk |
title_sort | quantitative impact assessment of sewer condition on health risk |
topic | hydrodynamic modelling health risk urban drainage sewer maintenance |
url | http://www.mdpi.com/2073-4441/10/3/245 |
work_keys_str_mv | AT marcovanbijnen quantitativeimpactassessmentofsewerconditiononhealthrisk AT hanskorving quantitativeimpactassessmentofsewerconditiononhealthrisk AT jeroenlangeveld quantitativeimpactassessmentofsewerconditiononhealthrisk AT francoisclemens quantitativeimpactassessmentofsewerconditiononhealthrisk |