The main aim of this study was a survey of micropollutants in stormwater runoff of Berlin (Germany) and its dependence on land-use types. In a one-year monitoring program, event mean concentrations were measured for a set of 106 parameters, including 85 organic micropollutants (e.g., flame retardants, phthalates, pesticides/biocides, polycyclic aromatic hydrocarbons (PAH)), heavy metals and standard parameters. Monitoring points were selected in five catchments of different urban land-use types, and at one urban river. We detected 77 of the 106 parameters at least once in stormwater runoff of the investigated catchment types. On average, stormwater runoff con-tained a mix of 24 µg L-1 organic micropollutants and 1.3 mg L-1 heavy metals. For organic micropol-lutants, concentrations were highest in all catchments for the plasticizer diisodecyl phthalate. Concentrations of all but five parameters showed significant differences among the five land-use types. While major roads were the dominant source of traffic-related substances such as PAH, each of the other land-use types showed the highest concentrations for some substances (e.g., flame retardants in commercial area, pesticides in catchment dominated by one family homes). Comparison with environmental quality standards (EQS) for surface waters shows that 13 micropollutants in storm-water runoff and 8 micropollutants in the receiving river exceeded German quality standards for receiving surface waters during storm events, highlighting the relevance of stormwater inputs for urban surface waters. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

German: In den vergangenen Jahren hat sich die Datenlage zum Zustand der Abwasserkanalisation und zur Wirkung unterschiedlicher Sanierungsverfahren stetig verbessert. Basierend auf diesen Erkenntnissen wurden durch das Kompetenzzentrum Wasser Berlin und die Berliner Wasserbetriebe Prognosemodelle zur Bewertung unterschiedlicher Sanierungsszenarien sowie zur Lokalisierung schadhafter Kanäle entwickelt. Die vorliegende Studie zeigt den Weg von Bestands- und Zustandsdaten des Kanalnetzes zu einem an die lokalen Randbedingungen angepassten Simulationswerkzeug für die strategische Kanalsanierungsplanung. Dabei werden Methoden zur modellgestützten Ergänzung von Datenlücken sowie die entwickelten Modellkomponenten für Kanalalterung und -sanierung vorgestellt. Darüber hinaus werden Ergebnisse ausgewählter Sanierungsszenarien und die wichtigsten Prognoseunsicherheiten diskutiert. Der entwickelte Ansatz unterstützt die Kanalsanierungs- und Investitionsplanung von Kommunen und hilft, den Zustand der Abwasserinfrastruktur langfristig zu erhalten oder zu verbessern.

The H2020 innovation project digital-water.city (DWC) aims at boosting the integrated management of water systems in five major European cities – Berlin, Copenhagen, Milan, Paris and Sofia – by leveraging the potential of data and digital technologies. The goal is to quantify the benefits of a panel of 15 innovative digital solutions and achieve their long-term uptake and successful integration in the existing digital systems and governance processes. One of these promising technologies is a new generation of sensors for measuring combined sewer overflow occurrence, developed by ICRA and IoTsens. Recent EU regulations have correctly identified CSOs as an important source of contamination and promote appropriate monitoring of all CSO structures in order to control and avoid the detrimental effects on receiving waters. Traditionally there has been a lack of reliable data on the occurrence of CSOs, with the main limitations being: i) the high number of CSO structures per municipality or catchment and ii) the high cost of the flow-monitoring equipment available on the market to measure CSO events. These two factors and the technical constraints of accessing and installing monitoring equipment in some CSO structures have delayed the implementation of extensive monitoring of CSOs. As a result, utilities lack information about the behaviour of the network and potential impacts on the local water bodies. The new sensor technology developed by ICRA and IoTsens provides a simple yet robust method for CSO detection based on the deployment of a network of innovative low-cost temperature sensors. The technology reduces CAPEX and OPEX for CSO monitoring, compared to classical flow or water level measurements, and allows utilities to monitor their network extensively. The sensors are installed at the overflows crest and measure air temperature during dry-weather conditions and water temperature when the overflow crest is submerged in case of a CSO event. A CSO event and its duration can be detected by a shift in observed temperature, thanks to the temperature difference between the air and the water phase. Artificial intelligence algorithms further help to convert the continuous measurements into binary information on CSO occurrence. The sensors can quantify the CSO occurrence and duration and remotely provide real-time overflow information through LoRaWAN/2G communication protocols. The solution is being deployed since October 2020 in the cities of Sofia, Bulgaria, and Berlin, Germany, with 10 offline sensors installed in each city to improve knowledge on CSO emissions. Further 36 (Sofia) and 9 (Berlin) online sensors will follow this winter. Besides its main goal of improving knowledge on CSO emissions, data in Sofia will also be used to identify suspected dryweather overflows due to blockages. In Berlin, data will be used to improve the accuracy of an existing hydrodynamic sewer model for resilience analysis, flood forecasting and efficient investment in stormwater management measures. First results show a good detection accuracy of CSO events with the offline version of the technology. As measurements are ongoing and further sensors will be added, an enhanced set of results will be presented at the conference.

Weltweit stehen Kommunen vor der Aufgabe, Wassersysteme mittelfristig an neue Gegebenheiten anzupassen und sie resilienter gegen unvorhersehbare Ereignisse zu machen. Digitale Lösungen für das Abwasser- und Wassermanagement werden dafür immer bedeutsamer.

Combined sewer overflows (CSOs) are of major environmental concern for impacted surface waterbodies. In the last decades, major storm events have become increasingly regular in some areas, and meteorological scenarios predict a further rise in their frequency. Consequently, control and treatment of CSOs with respect to best practice examples, innovative treatment solutions, and management of sewer systems are an inevitable necessity. As a result, the number of publications concerning quality, quantity, and type of treatments has recently increased. This review therefore aims to provide a critical overview on the effects, control, and treatment of CSOs in terms of impact on the environment and public health, strict measures addressed by regulations, and the various treatment alternatives including natural and compact treatments. Drawing together the previous studies, an innovative treatment and control guideline are also proposed for the better management practices.

The Implementation Plan (D2.1) is a document, which outlines how and where different digital solutions for water infrastructures will be demonstrated and assessed in the scope of WP2 of the DWC project. It is the first of three deliverables and followed by demonstration and assessment of performance and return of investment by means of key performance indicators (KPI) also defined in this deliverable. ; Version (v0.1.0) submitted to EC.

The Data Management Plan (DMP) is a guidance document which introduces a series of clear rules and procedures to improve data management during the project and foster the reuse of publications and data in open access. ; Version submitted to EU (v0.1.0)