Diffuse nitrate (NO3) contamination from intense agriculture adversely impacts freshwater ecosystems, and can also result in nitrate concentrations exceeding limits set in drinking water regulation, when receiving surface waters are used for drinking water production. Implementation of near-natural mitigation zones such as reactive swales or wetlands have been proven to be promising measures to reduce nitrate loads in agricultural drainage waters. However, the behavior of these systems at low temperatures and its dependence on systemdesign has not beenwell known until now. In this study, the behavior of a full-scale (length: 45 m) reactive swale treating drainage water from an agricultural watershed in Brittany (France), with high nitrate concentrations in the receiving river, was monitored for one season (6 months). As flow in this full-size field system is usually restricted to winter and spring months (December–May), it usually operates at lowwater temperatures of 5–10 WC. Tracer tests revealed shorter than designed retention times due to high inflows and preferential flow in the swale. Results show a correlation between residence time and nitrate reduction with low removal (<10%) for short residence times (<0.1 day), increasing to >25% at residence times >10 h (0.4 day). Performance was compared to results of two technical-scale reactive swales (length: 8 m) operated for 1.5 yearswith two different residence times (0.4 and 2.5 days), situated at a test site of the German Federal Environmental Agency in Berlin (Germany). Similar nitrate reduction was observed for comparable temperature and residence time, showing that up-scaling is a suitable approach to transferring knowledge gathered from technical-scale experiments to field conditions. For the design of new mitigation systems, one recommendation is to investigate carefully the expected inflow volumes in advance to ensure a sufficient residence time for effective nitrate reduction at low temperatures.

Im Rahmen des Projekte OgRe wurde das Ausmaß der Belastung von Regenablauf für Berlin durch ein einjähriges Monitoringprogramm in Regenwasserabfluss der Trennkanalisation unterschiedlicher Einzugsgebietstypen (Altbau, Neubau, Gewerbe, Einfamilienhäuser, Straßenablauf) untersucht. Ziel war, eine möglichst vollständige Erfassung organischer Spurenstoffe zu erreichen (einschließlich Identifizierung zusätzlicher Substanzen durch non-target-Analytik). Darüber hinaus sollte geklärt werden, inwieweit die unterschiedlichen Einzugsgebietstypen ein unterschiedliches Spektrum an Belastung durch Spurenstoffe aufweisen. Diese Informationen wurden dann genutzt, um eine Hochrechnung der über das Regenwasser in die Gewässer gelangenden Spurenstofffrachten für Gesamt-Berlin und einzelne Gewässerabschnitte zu ermöglichen. Die erhaltenen Frachten wurden verglichen mit modellierten Frachten abwasserbürtiger Spurenstoffe, die über Kläranlagenablauf in die Berliner Gewässer gelangen. Insgesamt wurden etwa 90 volumenproportionale Mischproben auf ein Set von etwa 100 Spurenstoffen analysiert. Zusätzlich wurden 12 Regenereignisse in der Panke beprobt, um Spitzenkonzentrationen regenwasserbürtiger Spurenstoffe im Gewässer zu ermitteln und ins Verhältnis zur Trockenwetterbelastung (5 Proben) zu setzen. Auch eine Untersuchung mikrobiologischer Parameter und der zeitlichen Dynamik konnten im Rahmen des Projektes durchgeführt werden.

Untreated stormwater runoff can be an important source of pollutants affecting urban surface waters. For example, in Berlin each year 78% or 54 million m³ of stormwater are discharged mostly untreated into receiving surface waters. Beside “classic” stormwater pollutants (e.g. suspended solids, COD, phosphorous or heavy metals), trace organic substances such as biocides, plasticizers, flame retardants and traffic related micropollutants (e.g. vulcanizing accelerators originating from tire wear or combustion by-products such as PAHs) started to come into focus in recent years (Zgheib et al. 2012, Gasperi et al. 2014). To evaluate for the first time city-wide annual loads of these trace organic substances entering urban surface waters through stormwater discharge, an event-based, one-year monitoring program was set up in the city of Berlin.

In recent years, the effect of urbanization on the quality of stormwater runoff gained increased attention including investigations on micropollutants. Especially in cities dominated by separated sewer systems, stormwater runoff containing micropollutants from anthropogenic origin is discharged mostly untreated into surface waters and therefore a potential source of high loads of pollutants. In a one year monitoring campaign stormwater runoff from five different catchments in Berlin is analyzed for major groups of micropollutants such as phthalates, organophosphates, organotin-compounds, biocides/pesticides, PAH’s, alkylphenols, polybrominated diphenylether, polychlorinated biphenyls and heavy metals. Sampling sites are equipped with automatic samplers, flow and water level meters in order to prepare flow proportional composite samples (recommended sampling strategy according to DIN ISO 5667-10). First results show that all groups of micropollutants were found in at least one catchment type in concentrations > 2 µg/L. Concentrations of the different micropollutant groups vary depending on the catchment types. So far, no organotin-compounds, polybrominated diphenylether or polychlorinated biphenyls were determined.

Im Rahmen des Forschungsprojekts SEMA ist die Prognosequalität eines Alterungsmodells anhand der TV-Inspektionsdaten der Stadt Braunschweig geprüft worden. Die Qualität der Prognose wurde auf der Grundlage einer Probe von 35.826 Inspektionen bewertet. Die Inspektionen wurden mittels eines substanzbasierten Modells klassifiziert. In einem zweiten Schritt wurde das statistische Modell KANEW-Z angewandt, um die Kanalalterung zu simulieren. Der Vergleich der Inspektions- mit den Simulationsergebnissen zeigt, dass das Modell in der Lage ist, die Zustandsverteilung des Systems ziemlich genau wiederzugeben. Die Ergebnisse sind auch ermutigend auf individueller Haltungsebene. Im Allgemeinen zeigt das Alterungsmodell viel bessere Ergebnisse als ein einfaches lineares Alterungsmodell. Schlussfolgernd unterstreichen die Ergebnisse das Interesse und den potentiellen Nutzen der Anwendung von Alterungsmodellen zur Unterstützung von Asset-Management-Strategien.

Micropollutant concentrations found in stormwater runoff were extrapolated to annual loads at the scale of the city of Berlin (impervious connected area of ~170 km2). Extrapolation was done by city structure, i.e., it was assumed that concentration patterns found in one of five specific city structure types is representative for every area of this structure type. Preliminary results show that micropollutants of several substance types can enter Berlin surface waters at loads in the order of kg/yr via stormwater runoff: plasticizers (e.g., sum of Di-iso-decylphthalate and Di-iso-nonylphthalate at 770 kg/yr), flame retardants (e.g., tris(2-butoxyethyl) phosphate (TBEP) at 89 kg/yr), biocides from different sources (e.g., Glyphosate at 17 kg/yr and Mecoprop at 30 kg/yr), vulcanizing accelerator benzothiazole (as sum of benzothiazole and metabolites methylthiobenzothiazole and hydroxybenzothiazole at 65 kg/yr) and combustion byproduct polycyclic aromatic hydrocarbons PAH 16 (sum of 16 EPA PAH at 107 kg/yr). These loads are in a similar order of magnitude as micropollutants that enter Berlin surface waters via (treated) sewage, such as pharmaceutical residues carbamazepine and ibuprofen with estimated annual loads of 436 kg/yr and 35 kg/yr, respectively.

Changes in rainfall patterns or land use require flexible adaptation strategies for urban drainage systems. However, finding effective measures to reduce combined sewer overflows (CSO) and flooding is not straight-forward. The presented study proposes a holistic assessment approach that combines CSO quantity and quality criteria with indicators for the spatial extent and severity of flood events. The approach is tested for three selected adaptation measures with a detailed calibrated model of Berlin’s largest combined sewer catchment in the software Infoworks CS. The results indicate that a detailed assessment based on multiple performance criteria is necessary to fully understand measure effects. The presented work is embedded in an integrated modelling study involving different elements of the drainage and the wastewater treatment system.

In this study, a method is proposed to activate the maximal in-sewer storage volume of a combined sewer system (CSS) with a limited number of flow regulators to reduce negative impacts of combined sewer overflows (CSO). Based on a detailed analysis of the CSS structure, it indicates suitable locations to install flow regulators. The method has been developed in the programming language R and tested on the Berlin’s biggest CSS. Flow regulators have been implemented in the CSS Infoworks model at the five most suitable locations found and tested for different rainfall conditions. It was found that significant additional in-sewer storage capacity can be activated (~50% of the already existing capacity) leading to CSO volume and pollutant load reductions up to 62% for a three-monthly rain event of 60 minutes duration.