Current projects

PRiuS 2022-2027

PRiuS 2022-2027The aim is to develop a forecasting/prediction tool for risk assessment and minimization of urban pollutant discharges into water bodies. In a first step, an ML-based model will be developed which will be trained using classical sewer network models to quantify emissions (e.g. E.coli, AFS, etc.) from the urban area by means of easily measured or derived parameters (e.g. precipitation, surface cover, etc.). In addition, an overlay with the expected discharges in the receiving water, including risk assessment, is to be implemented. A digital twin will be developed in order to optimize data transfer and, if necessary, implement synthetic control of the sewer network to minimize risk. As an example for the study area, the methods developed are to be transferred into practice using dashboards as a decision support system with stored models. The urban area of Celle with the Aller river as receiving water serves as the study area.

Kanaldetektive 2023-2026

Antibiotic resistance is a growing threat to public health and healthcare worldwide. In Lower Saxony, the sentinel system "Antibiotic Resistance Monitoring in Lower Saxony" (ARMIN) was implemented by the Lower Saxony Health Authority (NLGA) due to this threat. Within this project, supplementary investigations are being carried out in hydrosystems, in particular in drainage systems, in order to obtain high-resolution spatial data on the spread of antibiotic-resistant germs in the population. To this end, three key areas of research are being addressed: (i) establishing wastewater analysis for multi-resistant genes using PCR; (ii) developing passive samplers and quantifying the signals obtained; (iii) locating the optimal sites for subsequent recalculation of potential entry paths. The work is being carried out in cooperation with the Celle municipal drainage system and the Celle General Hospital as an example for the Celle urban area.

KI-Kanal 2022-2025

KI-Kanal 2022-2025The core element of the project is a so-called Internet of Floods (IoF). This is intended to use artificial neural networks (ANN) to improve forecasting and early warning systems for the operational optimization of sewer network control and hazard prevention in the drainage system. A novelty of the proposed approach is its independence from uncertain precipitation forecasts. KI-Kanal is being developed using the Osnabrück drainage system as an example and is also being tested directly under real conditions. In the event of a heavy rainfall event, real-time data on precipitation and water levels in the sewer network are recorded and sent to the IoF via LoRaWAN sensors. They serve as input data for a previously trained ANN. The ANN is designed to output the optimum channel control, discharge and water level forecasts at unobserved points and, if necessary, local network failures. Optimum channel control minimizes the risk of flooding.

COLIA 2022-2026

The overall aim of this project is to establish a sustainable cooperation between the Universidad Nacional Del Litoral (Argentina) and the Ostfalia University of Applied Sciences (Germany). The cooperation will include the training of environmental engineers and engineers from the water sector as well as the promotion of scientific exchange between the two institutions. The planned activities will increase student exchange in engineering courses in both countries and at the same time promote Spanish and German language skills in order to train interculturally experienced and multilingual specialists in the field of engineering. A further aim is to identify joint research potential. The specific research questions on individual topics are to be concretized during the exchange phases and ultimately lead to joint research proposals.
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