Modelling the impacts of global change on concentrations of Escherichia coli in an urban river

Jalliffier-Verne, Isabelle; Leconte, Robert; Huaringa-Alvarez, Uriel; Heniche, Mourad; Madoux-Humery, Anne Sophie; Autixier, Laurène; Galarneau, Martine; Servais, Pierre; Prévost, Michèle; Dorner, Sarah

doi:10.1016/j.advwatres.2016.10.001

Cited by 26 publications

(7 citation statements)

References 39 publications

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“…Identifying peak contamination periods and understanding the occurrence, fate and transport of fecal contaminants upstream of water abstraction sites is therefore crucial for prioritizing actions towards mitigation of fecal pollution sources and human health protection (WHO, 2016). This need becomes even more urgent as the vulnerability of drinking water sources to fecal pollution is expected to grow with global changes (Jalliffier-Verne et al, 2017;WHO, 2017).…”

Section: Introductionmentioning

confidence: 99%

Tracking the contribution of multiple raw and treated wastewater discharges at an urban drinking water supply using near real-time monitoring of β-d-glucuronidase activity

et al. 2019

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Past waterborne outbreaks have demonstrated that informed vulnerability assessment of drinking water supplies is paramount for the provision of safe drinking water. Although current monitoring frameworks are not designed to account for short-term peak concentrations of fecal microorganisms in source waters, the recent development of online microbial monitoring technologies is expected to fill this knowledge gap. In this study, online near real-time monitoring of b-D-glucuronidase (GLUC) activity was conducted for 1.5 years at an urban drinking water intake impacted by multiple point sources of fecal pollution. Parallel routine and event-based monitoring of E. coli and online measurement of physico-chemistry were performed at the intake and their dynamics compared over time. GLUC activity fluctuations ranged from seasonal to hourly time scales. All peak contamination episodes occurred between late fall and early spring following intense rainfall and/or snowmelt. In the absence of rainfall, recurrent daily fluctuations in GLUC activity and culturable E. coli were observed at the intake, a pattern otherwise ignored by regulatory monitoring. Cross-correlation analysis of time series retrieved from the drinking water intake and an upstream Water Resource Recovery Facility (WRRF) demonstrated a hydraulic connection between the two sites. Sewage bypasses from the same WRRF were the main drivers of intermittent GLUC activity and E. coli peaks at the drinking water intake following intense precipitation and/or snowmelt. Near real-time monitoring of fecal pollution through GLUC activity enabled a thorough characterization of the frequency, duration and amplitude of peak contamination periods at the urban drinking water intake while providing crucial information for the identification of the dominant upstream fecal pollution sources. To the best of our knowledge, this is the first characterization of a hydraulic connection between a WRRF and a downstream drinking water intake across hourly to seasonal timescales using high frequency microbial monitoring data. Ultimately, this should help improve source water protection through catchment mitigation actions, especially in a context of de facto wastewater reuse.

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Section: Introductionmentioning

confidence: 99%

Tracking the contribution of multiple raw and treated wastewater discharges at an urban drinking water supply using near real-time monitoring of β-d-glucuronidase activity

et al. 2019

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“…Several studies have focussed on the relationship between climate change and faecal indicators or waterborne pathogens (Jalliffier-Verne et al, 2016;Liu and Chan, 2015;Rankinen et al, 2016;Sterk et al, 2016). In these studies, increased combined sewer overflows in Quebec, Canada were a result of increased precipitation events (Jalliffier-Verne et al, 2016) and future projected decreased discharge causes increased faecal coliform concentrations in Taiwan (Liu and Chan, 2015), while limited climate change impacts were observed in Finland (Rankinen et al, 2016) and the Netherlands (Sterk et al, 2016), These studies did not simultaneously account for future changes in socioeconomic growth and social development. For the first time we combine the climate change scenarios with socioeconomic scenarios and perform a scenario analysis for E. coli concentrations in surface water resources.…”

Section: Opportunities In Using Process Based Modelling With Scenariomentioning

confidence: 99%

Quantifying the impact of socioeconomic development and climate change on Escherichia coli concentrations in the Pakistani Kabul River

Iqbal

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Water contamination due to microorganisms poses a risk for human health, as it can cause waterborne diseases, such as diarrhoea. Hydro-climatic variables, such as temperature, precipitation and discharge influence E. coli concentrations in surface and drinking water resources. The net impact of these variables is unclear. Although some recent studies have focused on this topic, these were mostly based in developed countries. Similar studies in developing countries are lacking. In this study we assess the impact of hydro-climatic variables on E. coli concentrations of the Kabul river in Pakistan. This river floods every year. In total 700 biweekly samples were collected and tested for E. coli. Nine sampling sites were located along the river and five drinking water sites from Nowshera were sampled for the period April 2013-September 2015. Surface water samples exceed bathing water standards, while drinking water samples exceed drinking water guidelines; the water is grossly polluted. Water temperature, surface air temperature, discharge and precipitation correlate positively with E. coli concentrations. Increased runoff transports microbes from agricultural lands to Kabul river and high temperatures coincide with high precipitation and discharge. A linear regression model was developed to assess the net effect of the climate variables on E. coli concentrations. This model had coefficients of determination (R 2) of 0.61 for surface and 0.55 for drinking water samples. This suggests that climate variables account for more than half of the observed variation in E. coli concentrations in surface and drinking water. This study indicates that increased precipitation together with higher surface air and water temperature, as is expected in this region with climate change, likely increases E. coli concentrations. Waterborne pathogens are expected to respond similarly to these climate changes, indicating that disease outbreaks could well become more frequent in the future.

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“…The SSPs and RCPs can be combined in a matrix, which provides a useful look into future consequences of climate and socio-economic changes for human societies and their environments. Few recent studies on microbial water-quality scenario analysis have been done that use either climate change (Jalliffier-Verne et al, 2016, Rankinen et al, 2016, Liu and Chan, 2015, Sterk et al, 2016 or socio-economic scenarios . However, assessing the combined impacts of climate change and socio-economic scenarios on river microbial water quality has not been performed yet.…”

Section: Application Of Process-based Modelling and Scenario Analysismentioning

confidence: 99%

“…To my knowledge, only have adequately incorporated the socio-economic scenarios on global cryptosporidium emissions to surface waters. Besides, Rankinen et al (2016) only considered land-use change and Jalliffier- Verne et al (2016) incorporated population growth with climate change to assess faecal coliform and E. coli emissions to surface waters respectively.…”

Section: Socio-economic Factors and Pathogensmentioning

confidence: 99%

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Assessing the impact of socio-economic development and climate change on faecal indicator bacteria in the Betna River, Bangladesh

Islam¹

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Modelling the impacts of global change on concentrations of Escherichia coli in an urban river

Cited by 26 publications

References 39 publications

Tracking the contribution of multiple raw and treated wastewater discharges at an urban drinking water supply using near real-time monitoring of β-d-glucuronidase activity

Tracking the contribution of multiple raw and treated wastewater discharges at an urban drinking water supply using near real-time monitoring of β-d-glucuronidase activity

Quantifying the impact of socioeconomic development and climate change on Escherichia coli concentrations in the Pakistani Kabul River

Assessing the impact of socio-economic development and climate change on faecal indicator bacteria in the Betna River, Bangladesh

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