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The project aimed to use assessments which incorporate the uncertainty, errors and natural variability of future hydrological scenarios in a statistical framework that allows operators and agencies to make decisions based on quantitative probabilities and risks.
An easily understood and transferable set of quantitative indices of reliability, resilience and vulnerability was applied to a range of water related problems.
SWURVE proposes a two-fold strategy for solving these problems in the context of designing and planning for sustainable water and associated activities in Europe:
1 Development of a probabilistic framework for the treatment of future scenarios and their impacts resulting in assigning probabilities of various critical outcomes and risks, rather than single central estimates;
2 Development of a quantitative and transferable methodology for the measurement of long term sustainability using statistical measures such as reliability, resilience and vulnerability.
Project information
Lead
School of Civil Engineering and Geosciences University of Newcastle upon Tyne (UNEW)
Partners
Source of funding
FP5 (EVK1-CT-2000-00075)
Reference information
Websites:
Published in Climate-ADAPT: Jan 1, 1970
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