General course objectives: The objective of the course is to be able to describe hydrological processes by means of relatively simple models such as purely statistical and combined statistical and deterministic models and then apply them to problems typical in applied hydrology. There are large uncertainties and high natural variability in both urban and catchment hydrological applications such as flooding and hydrologic design. Often lumped models are needed, because the actual processes are either not sufficiently well understood or we lack the data to describe the processes. Therefore we need a range of tools to quantify uncertainty and variation.
Læringsmål:
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
Apply statistical methods to model hydrological processes
Decompose a hydrological time series into deterministic and stochastic elements
Identify rainfall-runoff components in a hydrological series and model, and validate rainfall-runoff model in a hydrologic time series
Optimise the utilisation of a reservoir subject to multiple objectives and carry out uncertainty analyses
Set up and apply a model for generation of synthetic time series with the same statistical properties as a historical time series
Select a proper statistical model for prediction of hydrologic extremes in consideration of the prediction uncertainty
Assessing climate change impacts on water resources and climatic extremes
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Kursusindhold:
Decomposition of runoff time series and description of their deterministic and stochastic components. Stochastic models for description of extreme hydrological events.
Mulighed for GRØN DYST deltagelse:
Kontakt underviseren for information om hvorvidt dette kursus giver den studerende mulighed for at lave eller forberede et projekt som kan deltage i DTUs studenterkonference om bæredygtighed, klimateknologi og miljø (GRØN DYST). Se mere på http://www.groendyst.dtu.dk/kursustilmelding.aspx
