Testing new sources of topographic data for flood propagation modelling under structural, parameter and observation uncertainty

Micah M. Mukolwe, Kun Yan, Giuliano Di Baldassarre, Dimitri P. Solomatine

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)

Abstract

This study assessed the utility of EUDEM, a recently released digital elevation model, to support flood inundation modelling. To this end, a comparison with other topographic data sources was performed (i.e. LIDAR, light detection and ranging; SRTM, Shuttle Radar Topographic Mission) on a 98-km reach of the River Po, between Cremona and Borgoforte (Italy). This comparison was implemented using different model structures while explicitly accounting for uncertainty in model parameters and upstream boundary conditions. This approach facilitated a comprehensive assessment of the uncertainty associated with hydraulic modelling of floods. For this test site, our results showed that the flood inundation models built on coarse resolutions data (EUDEM and SRTM) and simple one-dimensional model structure performed well during model evaluation. Editor Z.W. Kundzewicz; Associate editor S. Weijs

Original languageEnglish
Pages (from-to)1707-1715
Number of pages9
JournalHydrological Sciences Journal
Volume61
Issue number9
DOIs
Publication statusPublished - 3 Jul 2016

Keywords

  • EUDEM
  • Flood modelling
  • SRTM
  • Topography
  • Uncertainty

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