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Water 2016, 8(7), 299; doi:10.3390/w8070299

Stormwater Pollutant Process Analysis with Long-Term Online Monitoring Data at Micro-Scale Sites

1
Institute for Water Resources Environment (IWARU), Muenster University of Applied Sciences, Corrensstr. 25, Muenster 48149, Germany
2
Institute of Urban Water Management and Landscape Water Engineering, Graz University of Technology, Stremayrgasse 10/I, 8010 Graz, Austria
*
Author to whom correspondence should be addressed.
Academic Editor: Brigitte Helmreich
Received: 31 May 2016 / Revised: 30 June 2016 / Accepted: 1 July 2016 / Published: 20 July 2016
(This article belongs to the Special Issue Urban Drainage and Urban Stormwater Management)
View Full-Text   |   Download PDF [925 KB, uploaded 20 July 2016]   |  

Abstract

Stormwater runoff quality was measured with online turbidity sensors at four common types of small urban subcatchments: (i) a flat roof; (ii) a parking lot; (iii) a residential catchment; and (iv) a high-traffic street. Samples were taken to estimate site-specific correlations between total suspended solids (TSS) and turbidity. Continuous TSS time series were derived from online turbidity measurements and were used to estimate event loads and event mean concentrations. Rainfall runoff event characteristics were subjected to correlation analysis to TSS loads. Significant correlations were found for rainfall intensities at sites with high imperviousness and decrease with increasing catchment size. Antecedent dry weather periods are only correlated at the parking lot site. Intra-event TSS load distributions were studied with M (V)-curves. M (V)-curves are grouped at runoff quantiles and statistically described with boxplots. All sites show, in general, a more pronounced first-flush effect. While wash-off of the flat roof tends to be source-limited, the parking lot and high-traffic street sites show a more transport-limited behavior. Wash-off process of the residential catchment appears to be influenced by a composition of different subcatchments. View Full-Text
Keywords: stormwater quality; online monitoring; stormwater pollutant processes; micro scale stormwater quality; online monitoring; stormwater pollutant processes; micro scale
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Leutnant, D.; Muschalla, D.; Uhl, M. Stormwater Pollutant Process Analysis with Long-Term Online Monitoring Data at Micro-Scale Sites. Water 2016, 8, 299.

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