2016
DOI: 10.1016/j.scitotenv.2016.02.044
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Coupling a continuous watershed-scale microbial fate and transport model with a stochastic dose-response model to estimate risk of illness in an urban watershed

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Cited by 12 publications
(4 citation statements)
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“…This was an essential input information for accurately predicting the microbial fate and transport in the alluvial wetland, as pointed out by Sanders et al (2005) and Liu et al (2015) . Integrating a probabilistic Monte Carlo framework into the model analysis allowed accounting for the uncertainty of the source and transport variables and conducting a microbial infection risk assessment ( Liao et al, 2016 ). One limitation of our model was that it did not account for the microbial particle interaction with the riverbed sediments.…”
Section: Discussionmentioning
confidence: 99%
“…This was an essential input information for accurately predicting the microbial fate and transport in the alluvial wetland, as pointed out by Sanders et al (2005) and Liu et al (2015) . Integrating a probabilistic Monte Carlo framework into the model analysis allowed accounting for the uncertainty of the source and transport variables and conducting a microbial infection risk assessment ( Liao et al, 2016 ). One limitation of our model was that it did not account for the microbial particle interaction with the riverbed sediments.…”
Section: Discussionmentioning
confidence: 99%
“…Developing social capital enhances the ability to access outside resources (Dale & Newman, 2010), which is essential to sustainable community development hence the role of community empowerment is also important in ensuring compliance of industries. Risk based management and approach were also discussed in number of studies (Davis, 2016;Doménech-Sánchez et al, 2008;Fleming & Quilty, 2007;Fürhacker, 2008;Liao et al, 2016;Silva et al, 2015;Wardropper et al, 2017) hence enlarging the focus on the need of assessing environmental risk and emergency plan on measuring compliance. Requirement on regulatory is the main observation when measuring compliance and it is also being mentioned by (Despini & Teggi, 2013;Nwankwo et al, 2005;Wardropper et al, 2017).…”
Section: Compliance: An Elusive Conceptmentioning
confidence: 99%
“…Drinking water risk is still a concern in HICs because agencies like the U.S. EPA regulate drinking water treatment plants at low risk thresholds, on the order of 1 case in 10,000. Most work in this area has focused on wastewater reuse [2325, 64, 74, 160], drinking water sourced from surface water [27, 32, 146, 161], and agricultural [57] or urban run-off or discharge [28, 142]. The pathogens most often considered in this context are Cryptosporidium (N=9) and E. coli (N=5), with lesser representation of norovirus (N=4) and Giardia (N=3), among others.…”
Section: Pathways and Pathogens: Research Priorities In Lmic And Hic mentioning
confidence: 99%