Modelling the coliforms inactivation rates in the Cantabrian sea (Bay of Biscay) From  and laboratory determinations of T

doi:10.1016/0273-1223(95)00567-7

Cited by 26 publications

(5 citation statements)

References 11 publications

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“…Solar radiation, temperature, and pH are generally believed to be the most important factors (Davies et al 1995), but considering solar radiation as the major factor controlling bacterial decay remains controversial (Whitman et al 2004). A few generic formulations have been proposed which account explicitly for some parameters (Lessard and Sieburth 1983;Alkan et al 1995;Canteras et al 1995), but the most commonly used parameterization for the decay of fecal bacteria is a constant die-off rate (Kashefipour et al 2002;Steets and Holden 2003;Servais et al 2007). The values proposed in the literature for the mortality of fecal bacteria vary widely and are usually associated with site specificities.…”

Section: Model Descriptionmentioning

confidence: 99%

“…Fujioka et al (see Kashefipour et al 2002) presented values of 37-110 day −1 in seawater with good light conditions. In the present model, two alternative options for the definition of the die-off rate are available: a user-defined constant coefficient and the formulation proposed by Canteras et al (1995), which presents a direct relationship between the die-off rate and the environmental conditions (irradiation, salinity and temperature).…”

Section: Model Descriptionmentioning

confidence: 99%

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Modeling fecal contamination in the Aljezur coastal stream (Portugal)

et al. 2011

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This study aims at understanding the fecal contamination behavior in a small coastal stream (Aljezur, Portugal), which has significant economic and ecological values. Like in most small coastal systems, circulation and water renewal in the Aljezur stream exhibit a strong variability due to their dependence on tides, waves, intermittent river flows, and a highly variable morphology. Hence, the problem was approached through a combination of field surveys and the development and application of a hard-coupled three-dimensional hydrodynamic and fecal contamination model. Salinity and temperature results have shown that mixing and transport in the stream are very sensitive to the river flow and wind forcing. The model is able to represent the main patterns and trends observed in Escherichia coli and fecal enterococcus concentrations along the stream, for different environmental and contamination conditions, suggesting die-off rates on the order of 0.50-0.55 day −1 . Die-off rate and the representation of the sediment-associated processes were identified as the major remaining sources of uncertainty in the model. Results show that, owing to the processes that occur along the stream, fecal bacteria reach the beaches water in numbers that comply with the European Bathing Waters Directive, even during the summer periods when the upstream concentrations are larger. In particular, results suggest a direct relation between the tidal propagation upstream and the reduction of the fecal bacteria concentrations along the stream that can be relevant for the development of a strategy for the management of the system's water safety.

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Section: Model Descriptionmentioning

confidence: 99%

Section: Model Descriptionmentioning

confidence: 99%

Modeling fecal contamination in the Aljezur coastal stream (Portugal)

et al. 2011

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“…Thupaki et al (2010) obtained an LTRMSE of 0.41 and Liu et al (2006) in the range of 0.705-0.835. Chen et al (2019) obtained RMSE values for salinity simulations of an estuary in the range of 0.13-3.01.…”

Section: Calibration and Validation Of The Seawater Quality Modelmentioning

confidence: 98%

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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“…Figure 6 shows the calibrated E. Coli decay rate expressed as T90, defined as the time at which 90% of the bacterial population is no longer detectable, meaning a one-log reduction of the number of pathogens. T90 could be computed as a function of water temperature, salinity and solar radiation (Canteras et al, 1995;Sokolova et al, 2013). However, such formulations was tested and would produce excessive decay rates for this case study and therefore the decay rate was assumed https://doi.org/10.5194/nhess-2019-292 Preprint.…”

Section: Calibration and Validation Of The Sea Water Quality Modelmentioning

confidence: 99%

Evaluating health hazard of bathing waters affected by combined sewer overflows

Locatelli¹,

Russo

Martínez³

2019

Preprint

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Abstract. Combined Sewer Overflows (CSO) affect bathing water quality of receiving water bodies by bacterial contamination. The aim of this is 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 economical assessments. Contaminant 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. Particularly, a novel correlation between the duration of sea water contamination and the event rainfall volume was developed. Contaminant hazard was assessed through a state-of-the-art coupled urban drainage and sea water 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.

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Modelling the coliforms inactivation rates in the Cantabrian sea (Bay of Biscay) From and laboratory determinations of T

Cited by 26 publications

References 11 publications

Modeling fecal contamination in the Aljezur coastal stream (Portugal)

Modeling fecal contamination in the Aljezur coastal stream (Portugal)

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

Evaluating health hazard of bathing waters affected by combined sewer overflows

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Modelling the coliforms inactivation rates in the Cantabrian sea (Bay of Biscay) From and laboratory determinations of T

Cited by 26 publications

References 11 publications

Modeling fecal contamination in the Aljezur coastal stream (Portugal)

Modeling fecal contamination in the Aljezur coastal stream (Portugal)

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

Evaluating health hazard 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