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Global and Low-Cost Topographic Data to Support Flood Studies
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.ORCID iD: 0000-0002-8180-4996
2015 (English)In: Hydro-Meteorological Hazards, Risks, and Disasters / [ed] Paolo Paron, Giuliano Di Baldassarre and J. F. Shroder Jr., Elsevier, 2015, 105-123 p.Chapter in book (Other academic)
Abstract [en]

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; (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). © 2015 Elsevier Inc. All rights reserved.

Place, publisher, year, edition, pages
Elsevier, 2015. 105-123 p.
Keyword [en]
ERS-2 SAR imagery, GLUE, Hydraulic modeling, LISFLOOD-FP, SRTM topography, Uncertainty analysis
National Category
Oceanography, Hydrology, Water Resources
URN: urn:nbn:se:uu:diva-307082DOI: 10.1016/B978-0-12-394846-5.00004-7ScopusID: 2-s2.0-84941953651ISBN: 9780123964700 (print)ISBN: 9780123948465 (print)OAI: oai:DiVA.org:uu-307082DiVA: diva2:1049729
Available from: 2016-11-25 Created: 2016-11-08 Last updated: 2016-11-25Bibliographically approved

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