Influence of climate variables on the concentration of Escherichia coli in the Rhine, Meuse, and Drentse Aa during 1985–2010

Vermeulen, Lucie C.; Hofstra, Nynke

doi:10.1007/s10113-013-0492-9

Cited by 39 publications

(49 citation statements)

References 46 publications

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“…In most studies one environmental variable and one statistical method at a time (either correlation or regression analysis) were used (Table 1.1). All identified studies positively correlated precipitation and pathogen concentrations (Funari et al, 2012b, Abia et al, 2015, Vermeulen and Hofstra, 2013, Martinez et al, 2014, Isobe et al, 2004 and waterborne diseases (Seidu et al, 2013, Thomas et al, 2006, Chou et al, 2010. Most of these studies that are conducted in the temperate regions, reported a negative correlation with water temperature (Shibata et al, 2004, Walters et al, 2011, Olyphant and Whitman, 2004, Vermeulen and Hofstra, 2013, while most tropical studies reported a positive correlation (Koirala et al, 2008, Kelly-Hope et al, 2007, Huang et al, 2008.…”

Section: A) This Thesis Fills This Important Knowledge Gapmentioning

confidence: 96%

“…Several studies have focused on climate change impacts on waterborne diseases (Moors et al, 2014, Rose et al, 2001, Freeman et al, 2009). However, very few studies have quantified the relationship between climate, socio-economic development and pathogen concentrations (Vermeulen and Hofstra, 2013). The present study assesses the impact of climatic variables (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…These outbreaks of waterborne diseases are related to the concentration of waterborne pathogens in surface water (Freeman et al, 2009). The spread of waterborne pathogens and its relation to environmental variables is poorly studied (Patz et al, 2008, Rose et al, 2001, Hofstra, 2011, Vermeulen and Hofstra, 2013. In Bangladesh, increased concentrations of waterborne pathogens have been observed in the surface water after flooding events (Ahmed et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Conversely, increased precipitation may decrease the pathogen concentration of surface water due to dilution (Lucas et al, 2014). An increased temperature may cause die-off of pathogens and [22] thereby reduce their concentrations , Vermeulen and Hofstra, 2013, Walters et al, 2011. However, few studies reported positive correlation between water temperature and bacterial concentrations due to coincidence of summer temperature and periods of intense precipitation and high discharge (Schilling et al, 2009, Koirala et al, 2008.…”

Section: Introductionmentioning

confidence: 99%

“…Some studies also reported the likelihood of some bacterial growth in tropical temperatures (Winfield andGroisman, 2003, Tiefenthaler et al, 2009). However, the net contribution of environmental variables (temperature, precipitation and salinity) to changes in pathogen concentrations is not clear (Vermeulen and Hofstra, 2013 (Bruhn and Wolfson, 2007). Whereas, measuring faecal indicators is easier, requires no complex equipment and is relatively cheap.…”

Section: Introductionmentioning

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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Section: A) This Thesis Fills This Important Knowledge Gapmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

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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Forecasting bathing water quality in the UK: A critical review

Krupska,

Speight,

Robinson

et al. 2024

WIREs Water

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Climate change is altering rainfall patterns resulting in increasing variability and intensity of rainfall events worldwide. Increases to short duration, intense rainfall (i.e., convective rainfall), will lead to increases in sewage overflow and run‐off from agricultural land. Such events generate spikes in micro‐organisms from feces and manure, especially Escherichia coli and intestinal enterococci, that temporarily end up in bathing waters posing serious health risks to bathers. Forecasting of bathing water quality associated with convective rainfall presents a distinctive forecasting challenge due to high uncertainties associated with predicting the timing, location, and impact of such events. In this article, we review examples of bathing water quality forecasting practices, with a focus on the United Kingdom where convective rainfall in the summer bathing water season is a particular concern, and question whether the current approach is robust in a changing climate. We discuss potential upgrades in bathing water forecasting and identify the main challenges that must be addressed before an improved framework for bathing water forecasting can be achieved. Although developments in meteorological and hydrological short‐range forecasting capabilities are promising, convective rainfall forecasting has significant predictability limits. We suggest taking full advantage of short‐range forecasts to provide sub‐daily bathing water forecasts, focusing on targeted bathing water monitoring regimes to improve model accuracy with the ultimate goal of providing improved information and guidance for beach users.This article is categorized under: Science of Water > Water and Environmental Change Human Water > Water Governance Science of Water > Water Quality

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Bathing Activities and Microbiological River Water Quality in the Paris Area: A Long-Term Perspective

Mouchel

Lucas

Moulin

et al. 2020

The Handbook of Environmental Chemistry

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This chapter presents the historical aspects regarding swimming in rivers in the Paris region since the seventeenth century, including the concept of fecal contamination indicator bacteria (FIBs) developed at the very beginning of the twentieth century, and historical contamination data covering more than one century in the Paris agglomeration. The sources of microbiological contamination of river waters are quantified, showing the importance of rain events. The present contamination levels are presented with reference to the European Directive for bathing water quality. FIB levels show that the sufficient quality for bathing is not reached yet in any of the monitored stations. A comprehensive data set regarding waterborne pathogens (viruses, Giardia, Cryptosporidium) in the Seine and Marne rivers is presented as a necessary complement to the regulatory FIB data to better evaluate health risks. The last section concludes on the actions to be conducted to improve the rivers’ microbiological quality in the coming years.

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Influence of climate variables on the concentration of Escherichia coli in the Rhine, Meuse, and Drentse Aa during 1985–2010

Cited by 39 publications

References 46 publications

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

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

Forecasting bathing water quality in the UK: A critical review

Bathing Activities and Microbiological River Water Quality in the Paris Area: A Long-Term Perspective

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