Modeling of the local and spatial properties of multivariate hydrometeorological extremes under nonstationaritySupervisor: prof. Ing. Ján Szolgay, PhD.
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|Project description:||Reliable estimates of the magnitude of hydrometeorological extremes are essential in the spatial planning and engineering design in order to reduce risk of damage to civilisation. The project responses to this need by reducing the uncertainties in copula-based frequency modelling of multivariate data on extremes by improved assessment of the marginal distributions of these. This will be reached by spatial and temporal extension of data on local extremes using Bayesian modelling techniques and by coupled stochastic-deterministic rainfall-runoff modelling. The developed framework will also be used to investigate the sensitivity of risk estimates to environmental change, and to compare this sensitivity with the level of uncertainty arising from the general lack of data e.g. in ungauged catchments. The project will analyse existing datasets from Slovakia and various pan-European databases, including historical extremes, long-term rainfall and runoff series, and catchment descriptors, such as soil and land-use.|
|Kind of project:||VEGA ()|
|Department:||Department of Land and Water Resources Management (FCE)|
|Project status:||Successfully completed|
|Project start date :||01. 01. 2013|
|Project close date:||31. 12. 2016|
|Number of workers in the project:||2|
|Number of official workers in the project:||0|