David Morgan

The presence of a first flush (FF) of suspended solids (SS) in stormwater runoff has important implications for the design of treatment facilities, as does the particle size of solids. Whilst numerous studies have examined the FF behaviour of SS, few have disaggregated FF trends by particle size. In this study, the FF behaviour of SS was investigated in five size ranges, sampled from an urban stormwater drainage system located in Dublin, Ireland. A weak FF was exhibited in the gross fraction of SS, with just two events from 14 transporting more than 50% of the SS mass in the first 25% of runoff, implying that treatment structures should be capable of removing SS throughout the storm event. In the majority of rain events, the FF strength increased with decreasing particle size, probably related to the lower intensities required to dislodge solids at the onset of rainfall. Although FF strength was correlated with rain event characteristics, prediction intervals were too broad to confirm FF presence based on rainfall data alone. Therefore, the design of smaller treatment volumes based on an assumption of FF must be justified by local monitoring data.

Discharges of untreated wastewater from combined sewer overflows (CSOs) present a potential threat to human health and the chemical and ecological status of receiving waters. Sewer monitoring coupled with hydraulic models are frequently applied to estimate CSO impacts and to test alternative improvement strategies, but their cost can be prohibitive. Therefore, municipal authorities must apply subjective assessment criteria to identify problematic CSOs which require immediate monitoring. In this paper, subjective assessment criteria for CSOs were reviewed and applied using a case study from Cork City, Ireland. Whilst the subjective criteria were robust in identifying nuisance CSOs (those giving rise to public complaint), the assessment of impacts on chemical and ecological status were confounded by other pollutant sources in the catchment and a lack of CSO monitoring data. A methodology was developed, using a geographical information systems (GIS) model, to prioritise monitoring of problematic CSOs on a national basis.