Research


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Research project (§ 26 & § 27)
Duration : 2018-05-01 - 2019-04-30

The conceptual hydrological rainfall-runoff-modell COSERO is used for operational optimization purposes by the VERBUND AG. In the past, the model system has been calibrated and implement for a variety of projects and basins. Results indicated a large potential for further improvements of the modelling system. Some of them will be developed, tested and implemented within this project. Planned are 1. further development of the regionalization strategy; 2. COSERO extension to allow for Ensemble forecasts; and 3. extension of the modelling framework to allow for data assimilation of ZAMG product. This phase (phase 2) has the following objectives: - Including remote sensing data into the parameter regionalisation scheme - Test of the method for small catchments - Analyis of run-time and prediction quality of ensemble forecasts for different spatial scales and embedding into data assimilation schemes.
Research project (§ 26 & § 27)
Duration : 2018-03-01 - 2019-02-28

The aim of the measurements of direct bed load and indirect as well as direct suspended sediment load measurements is to perform for the first time a quantitative balancing of the sediment transport, in order to subsequently calculate the sediment loads of the Vjosa over longer periods of time (several years). These are important information and foundations for further ecological as well as economic considerations on the Vjosa, including the expected negative impacts of a power plant construction (e.g., downstream river bed incision, coastal erosion, etc.). The measurements will be carried out in close cooperation with the Polytechnic University of Tirana. Collaboration takes place in the measurements themselves, but especially in the evaluation of the samples (creation of grain distribution curves) and maintenance / reading of the continuous measuring instruments at the Pocem.
Research project (§ 26 & § 27)
Duration : 2018-04-01 - 2020-09-30

NitroClim.AT will evaluate and provide a cost estimation of agricultural management strategies for Austrian agricultural systems that are able to minimize reactive nitrogen (Nr) losses to the environment under future climate and future socio-economic and policy scenarios. The uncertainties of the strategies will be quantified. An integrated modelling framework consisting of a biophysical process model (EPIC), an economic land use model (PASMA[grid]), and two eco-hydrological models (MON-ERIS and SWAT) will track Nr emissions from and flows in agriculture. The outcomes of the research will be a ranking of agricultural management strategies for specific agricultural systems that mini-mize future Nr losses to the water, soil and atmosphere, together with an economic value of the losses and a quantification of the Nr loss uncertainty under future climate simulations and under fu-ture socio-economic scenarios. This will help to better guide policy makers to choose robust measures under a multi-criteria decision-making context.

Supervised Theses and Dissertations

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