Velocity dependent passive sampling for monitoring of micropollutants in dynamic stormwater discharges

Heidi Birch, Anitha Kumari Sharma, Luca Vezzaro, Hans-Christian Holten Lützhøft, Peter Steen Mikkelsen

    Research output: Contribution to journalJournal articleResearchpeer-review


    Micropollutant monitoring in stormwater discharges is challenging because of the diversity of sources and thus large number of pollutants found in stormwater. This is further complicated by the dynamics in runoff flows and the large number of discharge points. Most passive samplers are non-ideal for sampling such systems because they sample in a time-integrative manner. This paper reports test of a flow-through passive sampler, deployed in stormwater runoff at the outlet of a residential-industrial catchment. Momentum from the water velocity during runoff events created flow through the sampler resulting in velocity dependent sampling. This approach enables the integrative sampling of stormwater runoff during periods of weeks to months while weighting actual runoff events higher than no flow periods. Results were comparable to results from volume-proportional samples and results obtained from using a dynamic stormwater quality model (DSQM). The paper illustrates how velocity-dependent flow-through passive sampling may revolutionize the way stormwater discharges are monitored. It also opens the possibility to monitor a larger range of discharge sites over longer time periods instead of focusing on single sites and single events, and it shows how this may be combined with DSQMs to interpret results and estimate loads over extended time periods.
    Original languageEnglish
    JournalEnvironmental Science & Technology
    Issue number22
    Pages (from-to)12958–12965
    Publication statusPublished - 2013


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