Department Water Resources and Drinking Water

Bei der Behandlung von Abwasser mit Ozon kann die Bromatbildung nicht vollständig verhindert werden. Allerdings gibt es drei Strategien, wie sie minimiert werden kann: (i) durch die Reduktion der Bromidkonzentration im Abwasser, (ii) durch die Verminderung der spezifischen Ozondosis sowie (iii) durch die Zugabe von Wasserstoffperoxid während der Ozonung. Der Erfolg dieser Strategien ist jedoch begrenzt. Daher sind frühzeitige Abklärungen zur Eignung einer geplanten Ozonung für jeden ARA-Standort zentral.

In this study, a manganese(IV) oxide-mediator (MnO₂-mediator) system for the abatement of sulfonamide antibiotics was evaluated. Two simple model humic constituents, syringaldehyde (SA) and acetosyringone (AS), could promote the transformation of sulfonamides at pH 5–8. Two additional potential mediators, tannic acid and 2,2′-azino-bis(3-ethylbenzothiazoline)-6-sulfonate (ABTS), had negligible enhancement on the transformation of sulfonamides by MnO₂. The enhancing effect was attributed to the reaction of the oxidized mediator (i.e., phenoxy radical or benzoquinone-like compounds) produced from the oxidation of the mediators by MnO₂ with SMX. Thereby cross-coupling products from sulfamethoxazole (SMX) with oxidized SA were formed in the MnO₂-SA system, which was confirmed by liquid chromatography/electrospray ionization-triple quadrupole mass spectrometry. Coexisting metal ions (i.e., Ca(II), Mg(II) and Mn(II)) showed inhibitory effects in the order of Mn(II)> Ca(II)> Mg(II). For repetitive runs of the MnO₂-SA-SMX system, MnO₂ lost its oxidative capacity due to the sorption of Mn(II) on the reactive sites of the MnO₂ surface. A full regeneration of partially deactivated MnO₂ by oxidation of the sorbed Mn(II) with Mn(VII) could be achieved.

Streamflow variability in space and time critically affects anthropic water uses and ecosystem services. Unfortunately, spatiotemporal patterns of flow regimes are often unknown, as discharge measurements are usually recorded at a limited number of hydrometric stations unevenly distributed along river networks. Advances in understanding the physical processes that control the spatial patterns of river flows are therefore necessary to predict water availability at ungauged locations or to extrapolate pointwise streamflow observations. This work explores the use of the spatial correlation of river flows as a metric to quantify the similarity between hydrological responses of two catchments. Following a stochastic framework, 340,000 cross‐correlations between pairs of daily streamflows time series are predicted at a seasonal timescale across the contiguous United States using 413 catchments of the MOPEX dataset. Model predictions of streamflow correlation obtained in absence of run‐off information are successfully used to identify catchment outlets sharing similar discharge dynamics and flow regimes across a broad range of geomorphoclimatic conditions, without relying on calibration. The selection of reference streamgauges based on predicted streamflow correlation generally outperforms the selection based on spatial proximity, especially as the density of available gauged sections decreases. Interestingly, correlated outlets share a broad spectrum of hydrological signatures (mean discharge, flow variability, and recession properties), suggesting that catchments forced by analogous frequency and intensity of effective rainfall events might exhibit common geomorphoecological traits leading to similar hydrological responses. The proposed framework provides a physical basis to assist the regionalization of flow dynamics and to interpret the spatial variability of flow regimes along stream networks.