Author(s): P. Dimitriadis; V. Bellos; D. Koutsoyiannis

Linked Author(s): Vasilis Bellos

Keywords: Surrogate stochastic modelling; Flood inundation; Dependence structure; Benchmark experiments

Abstract: In this work, several stochastic input series (for different second-order dependence structures) are applied to a benchmark mixed river geometry using a hydrodynamic model, and the resulted stochastic output behaviour is investigated. Surrogate flood modelling is used for output quantification when there is lack of measurements and/or model simulations for the input variables. Similarly, it can be used as a statistical emulator to quantify the effects of uncertainties associated with flood inundation (Yu, et al., 2015). In this work, we investigate how the stochastic behaviour of a single input (discharge) at a large (e.g. annual) scale can affect the stochastic behaviour of several output variables (flood volume and river stage) from a deterministic hydrodynamics model. The results from this analysis can be used for surrogate stochastic modelling and for quantification of the uncertainty of the input and output parameters.

DOI: https://doi.org/10.3850/978-981-11-2731-1_313-cd

Year: 2018