Modelling total suspended solids, E. coli and carbamazepine, a tracer of wastewater contamination from combined sewer overflows

Pongmala, Khemngeun; Autixier, Laurène; Madoux-Humery, Anne-Sophie; Fuamba, Musandji; Galarneau, Martine; Sauvé, Sébastien; Prévost, Michèle; Dorner, Sarah

doi:10.1016/j.jhydrol.2015.10.042

Cited by 33 publications

(14 citation statements)

References 73 publications

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“…During construction works, unvegetated hillslopes provide high suspended sediment loads, but increasing impervious surfaces in established urban areas leads to greater runoff and decreasing sediment availability, which influence the channel morphology and bedload transport (Chin, 2006). In urban areas, untreated discharges and/or leaks from wastewater systems, susceptible to occur mostly during storm events, can also provide fine sediments to the stream network (Pongmala et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Temporal Dynamics of Sediment Sources in an Urbanizing Mediterranean Catchment

et al. 2017

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The identification of sediment sources is important for catchment management, but few studies have been performed in Mediterranean areas. This study uses a multiproxy sediment fingerprinting approach to explore sources and dynamics of fluvial sediments in a rapidly urbanizing Portuguese peri‐urban catchment. X‐ray fluorescence was used to characterize the elemental geochemistry of sediments collected within the stream network after three storm events in 2012 and 2015. A range of statistical techniques, including hierarchical cluster analysis, was used to identify discriminant sediment properties and similarities between fine bed sediment samples of tributaries and downstream sites. Quantification of sediment supply from upstream sub‐catchments was undertaken using established sediment fingerprinting approaches. The geochemistry of the sediments was found to be influenced by both lithology and land‐use changes. In 2012, the sandstone sub‐catchment provided 75% of the <63 μm and 94% of the 63–125 and 125–2000 μm sediment, mostly from an Enterprise Park site undergoing deforestation and construction (covering 5% of the catchment area), with most of the remaining sediment deriving from the construction of a major road (1% of the catchment) in the limestone sub‐catchment. In 2015, planned and accidental retention basins below the Enterprise Park and major road sites, respectively, prevented some sediment from reaching the stream network, thereby reducing their importance as sediment sources. Sediment mobilization in urban areas with paved roads was small in comparison, but characterized by high heavy metal concentrations. The sediment fingerprinting approach adopted shows promise in identification of the main sources of sediments, necessary to underpin improved peri‐urban management strategies. Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Temporal Dynamics of Sediment Sources in an Urbanizing Mediterranean Catchment

et al. 2017

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“…The major sources of human fecal contamination in storm water runoff are failing sewage infrastructures and cross-connections between sewage and storm water networks (7,8). However, in addition to sewage contamination, storm water runoff can also carry other forms of animal waste, as well as a variety of pesticides and other chemical contaminants (2,9,10). Understanding the composition of the resultant runoff is therefore essential to tracking storm water pollution and assessing overall risk to public health.…”

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confidence: 99%

Comparison of Microbial and Chemical Source Tracking Markers To Identify Fecal Contamination Sources in the Humber River (Toronto, Ontario, Canada) and Associated Storm Water Outfalls

Staley

Grabuski

Sverko

et al. 2016

Appl Environ Microbiol

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Storm water runoff is a major source of pollution, and understanding the components of storm water discharge is essential to remediation efforts and proper assessment of risks to human and ecosystem health. In this study, culturable Escherichia coli and ampicillin-resistant E. coli levels were quantified and microbial source tracking (MST) markers (including markers for general Bacteroidales spp., human, ruminant/cow, gull, and dog) were detected in storm water outfalls and sites along the Humber River in Toronto, Ontario, Canada, and enumerated via endpoint PCR and quantitative PCR (qPCR). Additionally, chemical source tracking (CST) markers specific for human wastewater (caffeine, carbamazepine, codeine, cotinine, acetaminophen, and acesulfame) were quantified. Human and gull fecal sources were detected at all sites, although concentrations of the human fecal marker were higher, particularly in outfalls (mean outfall concentrations of 4.22 log 10 copies, expressed as copy numbers [CN]/ 100 milliliters for human and 0.46 log 10 CN/100 milliliters for gull). Higher concentrations of caffeine, acetaminophen, acesulfame, E. coli, and the human fecal marker were indicative of greater raw sewage contamination at several sites (maximum concentrations of 34,800 ng/liter, 5,120 ng/liter, 9,720 ng/liter, 5.26 log 10 CFU/100 ml, and 7.65 log 10 CN/100 ml, respectively). These results indicate pervasive sewage contamination at storm water outfalls and throughout the Humber River, with multiple lines of evidence identifying Black Creek and two storm water outfalls with prominent sewage cross-connection problems requiring remediation. Limited data are available on specific sources of pollution in storm water, though our results indicate the value of using both MST and CST methodologies to more reliably assess sewage contamination in impacted watersheds. IMPORTANCEStorm water runoff is one of the most prominent non-point sources of biological and chemical contaminants which can potentially degrade water quality and pose risks to human and ecosystem health. Therefore, identifying fecal contamination in storm water runoff and outfalls is essential for remediation efforts to reduce risks to public health. This study employed multiple methods of identifying levels and sources of fecal contamination in both river and storm water outfall sites, evaluating the efficacy of using culture-based enumeration of E. coli, molecular methods of determining the source(s) of contamination, and CST markers as indicators of fecal contamination. The results identified pervasive human sewage contamination in storm water outfalls and throughout an urban watershed and highlight the utility of using both MST and CST to identify raw sewage contamination. S torm water runoff has been identified as one of the most prominent non-point sources of both biological and chemical contaminants, degrading water quality and posing risks to public health in impacted recreational waters (1-3). The high level of fecal contamination present in storm water ru...

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“…The calibrated Manning roughness coefficient of surface impervious areas was set to 0.013, and the coefficient of pipes was set to 0.012. The calibrated Manning roughness coefficients are in the lowest parts of the ranges proposed in similar urban drainage studies (Fraga et al, 2017;Locatelli et al, 2017;Russo et al, 2015) and more general hydrologic studies (Dingman, 2015;Henriksen et al, 2003). Figure 4 shows two examples of simulated and observed water levels at two different locations during two different rain events.…”

Section: Calibration and Validation Of The Urban Drainage Modelmentioning

confidence: 83%

Modeling of <i>E. coli</i> distribution for hazard assessment of bathing waters affected by combined sewer overflows

Locatelli¹,

Russo

Oliete

et al. 2020

Nat. Hazards Earth Syst. Sci.

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Abstract. Combined sewer overflows (CSOs) affect bathing water quality of receiving water bodies by bacterial pollution. The aim of this study is to assess the health hazard of bathing waters affected by CSOs. This is useful for bathing water managers, for risk assessment purposes, and for further impact and economic assessments. Pollutant hazard was evaluated based on two novel indicators proposed in this study: the mean duration of insufficient bathing water quality (1) over a period of time (i.e., several years) and (2) after single CSO/rain events. In particular, a novel correlation between the duration of seawater pollution and the event rainfall volume was developed. Pollutant hazard was assessed through a coupled urban drainage and seawater quality model that was developed, calibrated and validated based on local observations. Furthermore, hazard assessment was based on a novel statistical analysis of continuous simulations over a 9-year period using the coupled model. Finally, a validation of the estimated hazard is also shown. The health hazard was evaluated for the case study of Badalona (Spain) even though the methodology presented can be considered generally applicable to other urban areas and related receiving bathing water bodies. The case study presented is part of the EU-funded H2020 project BINGO (Bringing INnovation to OnGOing water management – a better future under climate change).

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Modelling total suspended solids, E. coli and carbamazepine, a tracer of wastewater contamination from combined sewer overflows

Cited by 33 publications

References 73 publications

Temporal Dynamics of Sediment Sources in an Urbanizing Mediterranean Catchment

Temporal Dynamics of Sediment Sources in an Urbanizing Mediterranean Catchment

Comparison of Microbial and Chemical Source Tracking Markers To Identify Fecal Contamination Sources in the Humber River (Toronto, Ontario, Canada) and Associated Storm Water Outfalls

Modeling of <i>E. coli</i> distribution for hazard assessment of bathing waters affected by combined sewer overflows

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Modelling total suspended solids, E. coli and carbamazepine, a tracer of wastewater contamination from combined sewer overflows

Cited by 33 publications

References 73 publications

Temporal Dynamics of Sediment Sources in an Urbanizing Mediterranean Catchment

Temporal Dynamics of Sediment Sources in an Urbanizing Mediterranean Catchment

Comparison of Microbial and Chemical Source Tracking Markers To Identify Fecal Contamination Sources in the Humber River (Toronto, Ontario, Canada) and Associated Storm Water Outfalls

Modeling of &lt;i&gt;E. coli&lt;/i&gt; distribution for hazard assessment of bathing waters affected by combined sewer overflows

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Modeling of <i>E. coli</i> distribution for hazard assessment of bathing waters affected by combined sewer overflows