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Research project (§ 26 & § 27)
Duration : 2017-11-01 - 2018-04-30

The aim of the project "Flood risk potential 2017, evaluation and prediction of water resources dynamics“ is to develop a tool, which allows a detailed analysis of the risk development in flood prone areas. The current project builds on a series of formes projects, where an extensive ananlyis tool based on the integration of geoinformation, satellite remotes sensing data and laserscan data to detect changes in the flood resk over space and time, was developed, fine-tuned and applied to only a few case study areas. In the current project extents the method to about 5-7 APSFR areas with an potential application to overall "Oberösterreich" are on focus.
Research project (§ 26 & § 27)
Duration : 2017-09-01 - 2020-08-31

Snow on the ground is a critical resource for mountain regions to sustain river flow, to provide freshwater input to ecosystems and to support winter tourism, in particular in ski resorts. The level of activity, employment, turnover and profit of hundreds of ski resorts in the European Alps primarily depends on meteorological conditions, in particular natural snowfall but also increasingly conditions favorable for technical snowmaking (production of artificial snow). Since the seventies, ski resort managers have massively improved their snow management practices, initially to mitigate the impact of the large inter-annual variability of snow conditions, and more recently as adaptation measure to the effects of climate change. Therefore, ski resorts highly depend on appropriate conditions for technical snowmaking (mainly the availability of cold water, as well as temperature and humidity). By means of modern slope preparation and maintenance, snow stock management and technical snow making, a typical resort can approximately maintain the same season duration with 30% less snow. The ski industry increasingly uses advanced technological means and could strongly benefit from anticipation tools to assist the decision-making process. Beyond the time scale of weather forecasts, managers of ski resorts have to rely on various and scattered sources of information, hampering their ability to cope with highly variable meteorological conditions. Improved anticipation capabilities at all time scales, spanning from “weather forecast” (up to 5 days typically) to “climate prediction” at the seasonal scale (up to several months) holds significant potential to increase The PROSNOW project will build a demonstrator of a meteorological and climate prediction and snow management system from one week to several months ahead, specifically tailored to the needs of the ski industry. PROSNOW will apply state-of-the-art knowledge relevant to the predictability of atmospheric and snow conditions. The associated products will address ski resorts needs beyond state-of-the-art tools. The added value of such services for ski resorts will be investigated and documented. The project proposes an Alpine-wide system (including ski resorts located in France, Switzerland, Germany, Austria and Italy). It will join and link providers of weather forecasts and climate predictions at the seasonalscale, research institutions for local- and regional-scale snowpack modeling, technical bodies representing ski resorts managers, and a relevant ensemble of about 7 to 10 representative resorts in the Alps. The added-value of the demonstrator will be assessed for additional stakeholders including local and planners.
Research project (§ 26 & § 27)
Duration : 2017-10-01 - 2020-12-31

In Austria, a combination of direct and indirect measurement methods is used to determine the temporal and spatial variability of suspended sediments in rivers and streams. In addition to the continuous detection of turbidity by optical probes and calibration by means of probe-near samples, it is also necessary to determine the distribution of suspended sediments in the cross-sections of the rivers at the monitoring sites by using ADCP measurements and/or multi-point sampling. These methods are combined with corresponding analytical approaches, enabling the continuous determination of the suspended sediment concentration and the suspended sediment transport, as well as the calculation of suspended sediment loads. These data are necessary to answer many of the questions that arise in the fields of water management, energy management and ecology and are also needed for numerical simulations. In addition to regular data collection, there is a constant need for research on how to improve the measurements in routine operation. This will be done on the one hand by the optimization of workflows in the field and on the other hand by the testing of newly developed measuring devices. The testing of the devices for their suitability to monitor suspended sediments in river and streams will be performed under defined conditions in the research channel.

Supervised Theses and Dissertations