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
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
..
..
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
