Performance and uncertainties of TSS stormwater sampling strategies from online time series

Abstract : The Event Mean Concentrations (EMCs) that would have been obtained by four different stormwater sampling strategies are simulated by using Total Suspended Solids (TSS) and flowrate time series (about one minute time-step and one year of data). These EMCs are compared to the reference EMCs calculated by considering the complete time series. The sampling strategies are assessed with datasets from four catchments: i) Berlin, Germany, combined sewer overflow (CSO); ii) Graz, Austria, CSO; iii) Chassieu, France, separate sewer system and iv) Ecully, France, CSO. A sampling strategy in which samples are collected at constant time intervals over the rainfall event and sampling volumes are pre-set as proportional to the runoff volume discharged between two consecutive sample leads to the most representative results. Recommended sampling time intervals are of 5 min for Berlin and Chassieu (resp. 100 and 185 ha area) and 10 min for Graz and Ecully (resp. 335 and 245 ha area), with relative sampling errors between 7% and 20% and uncertainties in sampling errors of about 5%. Uncertainties related to sampling volumes, TSS laboratory analyses and beginning/ending of rainstorm events are reported as the most influent sources in the uncertainties of sampling errors and EMCs.
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Submitted on : Thursday, October 11, 2018 - 11:53:33 PM
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Santiago Sandoval, Jean-Luc Bertrand-Krajewski, Nicolas Caradot, Thomas Hofer, Günter Gruber. Performance and uncertainties of TSS stormwater sampling strategies from online time series. Water Science and Technology, IWA Publishing, 2018, 78 (6), pp.1407-1416. ⟨10.2166/wst.2018.415⟩. ⟨hal-01893996⟩



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