Institute of Water Management
Institute of Water Management
Agency: European Commission | Branch: FP7 | Program: CP-CSA-Infra | Phase: INFRA-2008-1.1.1 | Award Amount: 4.00M | Year: 2009
The recently finished FP6 RI Black Sea SCENE project has established a Black Sea Scientific Network of leading environmental and socio-economic research institutes, universities and NGOs from the countries around the Black Sea and has developed a distributed virtual data and information infrastructure that is populated and maintained by these organisations to improve the identification, access, exchange, quality indication and use of their data and information about the Black Sea. The Black Sea SCENE research infrastructure stimulates scientific cooperation, exchange of knowledge and expertise, and strengthens the regional capacity and performance of marine environmental data and information management, underpins harmonization with European marine data quality control/assessment procedures and adoption of international meta-data standards and data-management practices, providing improved data & information delivery services for the Black Sea region at a European level. The Up-Grade of Black Sea SCENE project aims: a) to extend the existing research infrastructure with 19 marine environmental institutes/organizations from the 6 Black Sea countries, b) to implement the results of the Joint Research Activities of the FP6 RI SeaDataNet project (common communication standards and adapted technologies to ensure the datacenters interoperability), c) to network the existing and new Black Sea datacenters, active in data collection, and provide integrated databases of standardized quality on-line, d) to realize and improve on-line access to in-situ and remote sensing data, meta-data and products and e) to adopt standardized methodologies for data quality checking to ensure the quality, compatibility and coherence of the data issuing from so many sources. The Up-Grade Black Sea SCENE project is undertaken by 51 partners of which 43 are located in the Black Sea countries.
Krapesch G.,Christian Doppler Laboratory |
Krapesch G.,University of Natural Resources and Life Sciences, Vienna |
Krapesch G.,Institute of Water Management |
Hauer C.,Christian Doppler Laboratory |
And 5 more authors.
Natural Hazards and Earth System Sciences | Year: 2011
This paper analyses the morphological effects of extreme floods (recurrence interval >100 years) and examines which parameters best describe the width changes due to erosion based on 5 affected alpine gravel bed rivers in Austria. The research was based on vertical aerial photos of the rivers before and after extreme floods, hydrodynamic numerical models and cross sectional measurements supported by LiDAR data of the rivers. Average width ratios (width after/before the flood) were calculated and correlated with different hydraulic parameters (specific stream power, shear stress, flow area, specific discharge). Depending on the geomorphological boundary conditions of the different rivers, a mean width ratio between 1.12 (Lech River) and 3.45 (Trisanna River) was determined on the reach scale. The specific stream power (SSP) best predicted the mean width ratios of the rivers especially on the reach scale and sub reach scale. On the local scale more parameters have to be considered to define the "minimum morphological spatial demand of rivers", which is a crucial parameter for addressing and managing flood hazards and should be used in hazard zone plans and spatial planning. © 2012 Author(s).
Unfer G.,Institute of Hydrobiology and Aquatic Ecosystem Management |
Hauer C.,Institute of Water Management |
Lautsch E.,Institute of Hydrobiology and Aquatic Ecosystem Management
Ecology of Freshwater Fish | Year: 2011
We monitored yearly recruitment (1997-2008) of brown trout (Salmo trutta) in a fourth-order Austrian Alpine river. The relative proportion of recruits to adult fish varied strongly among years (5.6-66.4%). These proportions were strongly correlated with specific flow patterns. High flows before and during the spawning period were positively correlated with recruitment, whereas high flows during incubation and emergence were negatively correlated with recruitment success. Unsteady flow modelling supported a causal hypothesis for these relationships in demonstrating that discharges >30m 3·s -1 resulted in substantial sediment motion (erosion and deposition) in suitable spawning areas within the study stretch. © 2010 John Wiley & Sons A/S.