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Animal Waste, Water Quality and Human Health

Animal Waste, Water Quality and Human Health

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Exposure interventions 307Weather related FIO pollution events have been studied in considerable detail(Crowther et al. 2001 <strong>and</strong> 2003). SEPA used its extensive national on-linehydrometric network of rain <strong>and</strong> river monitoring across Scotl<strong>and</strong>, <strong>and</strong> developed“nowcast” models using preceding rain/river flow to issue “live” site specific bathingwater quality predictions (McPhail & Stidson 2009). The prediction tool (an Excelspreadsheet-based model) derived site-specific trigger limits for rainfall <strong>and</strong> river flowto predict bathing water quality based on historical correlations between hydrology<strong>and</strong> faecal coliform concentrations. Rainfall depth-duration thresholds used previous24, 48 <strong>and</strong> 72 hours amounts, together with current-day rain forecast to midday (onthe day the message is posted). River flow information was also included in theregression relationships. This was a simple <strong>and</strong> effective means of predicting bathingwater quality where pollution was predominantly wet weather-driven <strong>and</strong> elevatedmicrobiological levels occurred during such events. The prediction forecasts werevalidated annually <strong>and</strong> performance in 2008, as confirmed by water quality testing,was correct on 82% of days. To date, the overall daily signage has been correct orprotective on 98 to 99% of occasions over the last seven years of operation. A publicawareness survey was carried out <strong>and</strong> beach users, organizations <strong>and</strong> media continueto provide positive feedback on the signage system (Figure 8.3).Figure 8.3 On-line electronic bathing water quality message sign; Prestwick, Scotl<strong>and</strong>.

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