Closing date for applications:  • Location: Halle Master thesis (m/f)
A reliable assessment of the flooding hazard of river basins is crucial for many
disciplines ranging from water resources management to urban planning and
the insurance industry. However, the stochastic character of streamflows
makes this a difficult task, particularly when long series of observed discharge
data are not available. New methods promise to increase the reliability of the
estimates of flood magnitude and frequency, especially in conditions of data
scarcity, by exploiting a new conceptualization of hydrological processes.
This thesis work aims at identifying key climatic and landscape controls
on flooding potential of river basins, in order to develop a tool to assess
if available data series are long enough to provide reliable estimates of the
underlying hazard.