Global and low-cost topographic data to support flood studies

Book Chapter (2023)
Authors

Kun Yan (Deltares, IHE Delft Institute for Water Education)

Jeffrey Neal (University of Bristol)

Dmitri Solomatine (TU Delft - Water Resources, IHE Delft Institute for Water Education)

Giuliano Di Baldassarre (Uppsala University, IHE Delft Institute for Water Education)

Research Group
Water Resources
Copyright
© 2023 Kun Yan, Jeffrey C. Neal, D.P. Solomatine, Giuliano Di Baldassarre
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 Kun Yan, Jeffrey C. Neal, D.P. Solomatine, Giuliano Di Baldassarre
Research Group
Water Resources
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
85-102
ISBN (electronic)
9780128191019
DOI:
https://doi.org/10.1016/B978-0-12-819101-9.00010-8
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This chapter provides an overview of global and low-cost topographic data to support flood studies, with a focus on usefulness of shuttle radar topography mission (SRTM) topography in supporting two-dimensional hydraulic modeling of floods. In particular, flood propagation and inundation modeling of a 10-km reach of the River Dee (United Kingdom) was performed by using LISFLOOD-FP to simulate the December 2006 flood event. Flood extent maps from satellite imagery (ERS-2 Synthetic Aperture Radar SAR) and hydrometric information (downstream water levels) were used as evaluation data. Uncertainty analysis was carried out within the generalized likelihood uncertainty estimation framework using the roughness coefficients and downstream water surface slope as free parameters. The results of this study showed: (1) the potentials and limitations of SRTM topographic data in flood inundation modeling; (2) the value of downstream water levels in constraining uncertainty in hydraulic model of floods; and (3) the impact of setting a water surface slope as downstream boundary on the results of the hydraulic model (e.g., predictions of water stages and flood extent).

Files

3_s2.0_B9780128191019000108_ma... (pdf)
(pdf | 1.44 Mb)
- Embargo expired in 18-02-2024
License info not available