Stochastic modelling of river morphodynamics

Stochastic modelling of river morphology and its potential in present-day river management practice is the topic of this thesis. In summary, this thesis shows how to analyse the stochastic nature of river morphology by means of Monte Carlo Simulation. It provides insight into the uncertainty sources that contribute most to the stochastic morphodynamic river behaviour. Furthermore, three applications illustrate the potential of a stochastic model approach in river management practice. The conclusion can be drawn that the use of this 'computation-intensive' approach adds value to river engineering and management practice