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• W2904296939 abstract "Future Science Book SeriesQuality Assurance & Quality Control of Environmental Field Sampling Quality assurance/quality control in stormwater samplingDavid McCarthy & Daren HarmelDavid McCarthyDavid McCarthy is a Senior Lecturer in the Civil Engineering Department, Monash University (Melbourne, Australia). He completed his PhD in water quality engineering and developed a predictive model for the generation of fecal microorganisms in urban stormwater. His published works include those that describe the uncertainties of stormwater monitoring.Search for more papers by this author & Daren HarmelDaren Harmel is Agricultural Engineer and Research Leader of the Agricultural Research Service – US Department of Agriculture Grassland, Soil and Water Research Laboratory in Temple (TX, USA). He represents the Agricultural Research Service on the National Water Monitoring Council’s Methods and Data Comparability Board in the USA. Much of his research has focused on methodology for water quality data collection and uncertainty associated with these data.Search for more papers by this authorPublished Online:24 Feb 2014https://doi.org/10.4155/ebo.13.475AboutSectionsView ArticleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInReddit View chapterAbstract: Sampling stormwater presents unique challenges because stormwater flow is relatively short-lived with drastic variability. Furthermore, storm events often occur with little advance warning, outside conventional work hours and under adverse weather conditions. Therefore, most stormwater sampling projects utilize automated water quality samplers so that personnel are not forced to travel to multiple sites during events and manually collect samples under potentially hazardous conditions. This chapter discusses project objectives and resource considerations along with discharge measurement, sample collection, number of samples required, and the resulting uncertainty in reported constituent concentrations and loads. This will assist technical staff and project managers in designing, implementing and operating stormwater sampling projects, while efficiently utilizing project resources and minimizing data uncertainty. References1 US EPA. NPDES Storm Water Sampling Guideance Document. Office of Water, US EPA, Washington DC, USA (1992) . Google Scholar2 US EPA. Industrial Stormwater Monitoring and Sampling Guide. US EPA, Washington DC, USA (2009) . Google Scholar3 US EPA. Final National Pollutant Discharge Elimination System (NPDES) General Permit for Stormwater Discharges from Construction Activities. US EPA, Washington DC, USA (2010) . Google Scholar4 US EPA. MS4 Permit Improvement Guide. Office of Water, US EPA, Washington DC, USA (2010) . 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Automated storm water sampling on small watersheds . Appl. Eng. Agric. 19 (6) , 667 – 674 (2003) . Crossref, Google ScholarFiguresReferencesRelatedDetailsCited ByBoSL FAL pump: A small, low-cost, easily constructed, 3D-printed peristaltic pump for sampling of watersHardwareX, Vol. 10Modeling Water Quality in Watersheds: From Here to the Next Generation18 November 2020 | Water Resources Research, Vol. 56, No. 11 Quality Assurance & Quality Control of Environmental Field SamplingMetrics Downloaded 19 times History Published online 24 February 2014 Published in print February 2014 Information© Future Science Ltd© Future Science LtdPDF download" @default.
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