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Open AccessArticle

Statistical Distribution of TSS Event Loads from Small Urban Environments

1
Institute for Infrastructure, Water, Resources, Environment, Muenster University of Applied Sciences, Correnstr. 25, 48149 Muenster, 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.
Water 2018, 10(6), 769; https://doi.org/10.3390/w10060769
Received: 12 April 2018 / Revised: 1 June 2018 / Accepted: 7 June 2018 / Published: 12 June 2018
(This article belongs to the Section Urban Water Management)
Results from a long-term stormwater quality monitoring program were used to derive total suspended solids (TSS) event load distributions at four small urban environments (flat roof, parking lot, residential catchment, high traffic street). Theoretical distribution functions were fitted to the empirical distribution functions obtained. Parameters of the theoretical distribution functions were optimized with respect to a likelihood function to get both optimized parameters and standard errors. Kolmogorov-Smirnov and Anderson-Darling test statistics were applied to assess the goodness-of-fit between empirical and theoretical distribution. The lognormal distribution function was found to be most expressive to approximate empirical TSS event load distributions at all sites. However, the goodness-of-fit of the statistical model strongly depends on the number of events available. Based on the results of a Monte-Carlo-based resampling strategy, around 40 events should be considered. View Full-Text
Keywords: stormwater quality; small urban sites; TSS; event loads; probability distributions; lognormal distribution stormwater quality; small urban sites; TSS; event loads; probability distributions; lognormal distribution
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Leutnant, D.; Muschalla, D.; Uhl, M. Statistical Distribution of TSS Event Loads from Small Urban Environments. Water 2018, 10, 769.

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