Das Projekt "Entwicklung von Anpassungsfähigkeit an extreme Wetterereignisse im Flusseinzugsgebiet des Rheins" wird vom Umweltbundesamt gefördert und von seeconsult GmbH durchgeführt. The ACER project aims at identifying how long term developments such as climate change, socio economic developments, spatial planning and policy developments influence water management in the Rhine basin. The project develops an integrated Rhine model that enables quantifying the effects of term trends on the frequency and magnitude of floods and droughts in the Rhine. An important issue will be to assess changes in future flood and drought probabilities. Different water management strategies (dikes, retention, land use change, insurance, etc) will be developed to cope with future impacts. The strategies are targeted at areas in both Germany and the Netherlands and will be developed with stakeholders from both countries in a series of workshops. The strategies will be evaluated as to how they mitigate extreme events and lower risk (probability x damage) in especially the NiederRhein area at the border of Germany and the Netherlands.
Das Projekt "Enhanced Dispersion Modelling through Meteorological Model Integration in Complex Terrain" wird vom Umweltbundesamt gefördert und von SEDE AG durchgeführt. The present work deals with air quality modelling, focusing on meteorological data assimilation. The local dispersion model Polytox is modified in order to use meteorological fields from the meso-scale meteorological model COSMO instead of local measurements. As a result, the impact of input meteorological fields on the air quality modelling can be analyzed. As a practical example, we use a real case study located in 'Entre-deux-Lacs', a region in Switzerland where it is planned to build a gas power plant. Three critical meteorological situations, with high pollutant concentrations records, have been identified. Polytox has been ran for those 3 situations with different configurations: i) Input meteorological fields are provided by measurements ii) Input meteorological fields (wind fields, mixing height, diffusion coefficients) are provided by the meso-scale model. The results show the Polytox ability to use both local meteorological measurements and meso-scale meteorological fields. The COSMO data, especially when used to determine the mixing height, improves the Polytox air quality simulation results. With the meso-scale meteorological data, Polytox is able to compute air quality anywhere in Switzerland if the emission inventory is available. Furthermore, Polytox is no more dependent on the measurements quality and quantity. However, the base Polytox configuration with meteorological fields provided by measurements gives satisfactory results and remains valid for air quality simulations when the measurements are highly representative of the meteorological situation.