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Cost-effective Method for Microbial Source Tracking Using Specific Human and Animal Viruses

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Estimation of pathogen concentrations in a drinking water source using hydrodynamic modelling and microbial source

Ekaterina Sokolova¹, Johan Aström, Thomas J R Pettersson

¹Water Environment Technology, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. ekaterina.sokolova@chalmers.se

Journal of Water and Health

|September 11, 2012

Summary

Estimating pathogen levels in drinking water sources is crucial for preventing waterborne diseases. This study introduces a new method combining microbial source tracking and modeling to predict pathogen concentrations and assess risks.

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Area of Science:

Environmental microbiology
Water quality assessment
Public health

Background:

Faecal contamination of drinking water sources poses a significant risk for waterborne disease outbreaks.
Accurate estimation of pathogen concentrations in raw water is essential for risk assessment.
Current monitoring methods have limitations in providing comprehensive data.

Purpose of the Study:

To develop and present a novel approach for estimating pathogen concentrations in drinking water sources.
To utilize microbial source tracking data and fate and transport modeling for risk assessment.
To provide data for quantitative microbial risk assessment (QMRA) and risk management.

Main Methods:

Estimated pathogen concentrations (norovirus, Cryptosporidium, Escherichia coli O157/H7) in faecal sources using indicator organisms (E. coli, Bacteroidales).
Simulated pathogen fate and transport in Lake Rådasjön using a 3D hydrodynamic and microbiological model.
Assessed the contribution of different contamination sources to pathogen levels at the water intake.

Main Results:

Successfully estimated pathogen concentrations in faecal sources under endemic and epidemic conditions.
Modeled the complex movement and behavior of pathogens within the lake ecosystem.
Quantified the impact of various contamination sources on raw water quality at the intake.

Conclusions:

The novel approach effectively estimates pathogen concentrations and source contributions in drinking water.
This method overcomes limitations of traditional monitoring, enhancing QMRA and risk management strategies.
Improved understanding of pathogen dynamics in surface water sources aids in safeguarding drinking water supplies.