Research


Latest SCI publications

Latest Projects

Research project (§ 26 & § 27)
Duration : 2017-12-01 - 2019-11-30

In the course of the implementation of required hydropeaking mitigation measures in the next implementation period, a detailed planning of measures for individual storage power plants is necessary. The SuREmMa project provides a nationally applicable, scientifically proven evaluation tool in order to be able to assess and compare individual impact scenarios in the context of the Water Framework Directive from both, an ecological and energy-economical point of view at the reach and catchment level. The SuREmMa project developed a tool for assessing the ecological impact of man-made runoff fluctuations in the SuREmMa + project to: a) record the actual hydro-morphological status in impacted rivers, b) to define different scenarios in the context of potentially mitigation measures and c) to assess the expected environmental impact taking additional morphological measures into account. Moreover, in the case-by-case assessment in the context of the present project, the river-specific characteristics will be both discussed in detail, at the catchment level (e.g., unaffected hydrological conditions, sediment regime) and on the small-scale scale (eg spawning habitats, small-scale morphological structures), in order to derive the most efficient package of measures for hydropeaking mitigation. The obtained results should serve as a basis for the definition of the targeted status according to the EU Water Framework Directive.
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.

Supervised Theses and Dissertations

FIS