Quantifying the Impact of Runoff Events on Microbiological Contaminant Concentrations Entering Surface Drinking Source Waters

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dc.contributor.author Signor, Ryan en_US
dc.contributor.author Roser, D en_US
dc.contributor.author Ashbolt, Nicholas en_US
dc.contributor.author Ball, James en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:47:41Z
dc.date.available 2010-05-28T09:47:41Z
dc.date.issued 2005 en_US
dc.identifier 2006008673 en_US
dc.identifier.citation Signor Ryan et al. 2005, 'Quantifying the Impact of Runoff Events on Microbiological Contaminant Concentrations Entering Surface Drinking Source Waters', IWA Publishing, vol. 3, no. 4, pp. 453-468. en_US
dc.identifier.issn 1477-8920 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/9134
dc.description.abstract Concentrations of microbiological contaminants in streams increase during rainfall-induced higher flow `event? periods as compared to `baseflow? conditions. If the stream feeds a drinking water reservoir, such periods of heightened pathogen loads may pose a challenge to the water treatment plant and subsequently a health concern to water consumers downstream. In order to manage this risk, it is desirable to first quantify the differences in surface water quality between baseflow and event conditions. The Event Mean Concentration (EMC) is a flow-weighted average concentration of a contaminant over the duration of a single event, proposed here as a standard parameter for quantifying the net effect of events on microbial water quality. Application of the EMC concept was assessed using flow and quality data for several events from an urbanised catchment. Expected mean EMCs were significantly larger than expected mean baseflow concentrations (p-value?0.012) for three microbial agents - Escherichia coli (13,000 [n = 7] v. 610 [n = 16] mpn/100 ml), Cryptosporidium (234 [n = 6] v. 51 [n = 16] oocysts/10 litres) and Campylobacter (48 [n = 5] v. 2.1 [n = 16] mpn/100 ml). These parameter estimates were complemented by estimating data variability and uncertainty in the form of second-order random variables. As such the results are in a format appropriate for potential use as components in probabilistic risk assessments evaluating the effect runoff events have on drinking water quality. en_US
dc.language en_US
dc.publisher IWA Publishing en_US
dc.title Quantifying the Impact of Runoff Events on Microbiological Contaminant Concentrations Entering Surface Drinking Source Waters en_US
dc.parent Journal of Water and Health en_US
dc.journal.volume 3 en_US
dc.journal.number 4 en_US
dc.publocation London, UK en_US
dc.identifier.startpage 453 en_US
dc.identifier.endpage 468 en_US
dc.cauo.name FEIT.School of Civil and Environmental Engineering en_US
dc.conference Verified OK en_US
dc.for 090509 en_US
dc.personcode 0000031712 en_US
dc.personcode 0000031713 en_US
dc.personcode 0000016302 en_US
dc.personcode 997686 en_US
dc.percentage 100 en_US
dc.classification.name Water Resources Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Campylobacter, Cryptosporidium, drinking water, Event Mean Concentration, E. coli, pathogen en_US
dc.staffid 997686 en_US


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