IAHR Document Library

« Back to Library Homepage « Proceedings of the 38th IAHR World Congress (Panama, 2019)

Stochastic Generation and Hybrid Downscaling for Improving the Estimation of Return Periods of Flooding

Author(s): Manuel Del Jesus, Salvador Navas, Javier Diez Sierra

Linked Author(s): Manuel del Jesus, Javier Diez Sierra

Keywords: Flood modeling; Extremes; Stochastic generation; Hybrid downscaling;

Abstract: In this study, a statistical methodology to model river flooding is proposed. The methodology makes use of synthetic generation of river discharges, from fitted observed values, to augment the observational record with likely events that have not been observed. It also relies on computing return periods on the final variable of interest, flooding water depth, from analyzing a complete time series of flooding. Such a series is obtained through hybrid downscaling, which combines dynamic and statistical downscaling to reduce the total computational effort required to generate the series.


Year: 2019

Copyright © 2023 International Association for Hydro-Environment Engineering and Research. All rights reserved. | Terms and Conditions