Dissertation/Thesis Abstract

Development of a high-resolution 1D/2D coupled flood simulation of Charles City, Iowa
by Moore, Matthew Roger, M.S., The University of Iowa, 2011, 84; 1495724
Abstract (Summary)

The development of a high-resolution coupled one-dimensional/two-dimensional hydrodynamic model of Charles City, Iowa is presented in this study as part of a larger Iowa Flood Center initiative to create a library of steady inundation maps for communities in Iowa which have a high risk of flooding. Channel geometry from bathymetric surveys and surface topography from LiDAR were combined to create the digital elevation model (DEM) used in numerical simulations. Coupled one- and two-dimensional models were used to simulate flood events; the river channel and structures were modeled one-dimensionally, and the floodplain was modeled two-dimensionally. Spatially distributed roughness parameters were estimated using the 2001 National Land Cover Dataset. Simulations were performed at a number of mesh resolutions, and the results were used to investigate the effectiveness of re-sampling simulation results using higher- resolution DEMs. The effect of removing buildings from the computational mesh was also investigated. During 2011, the stream channel geometry is being changed as part of a recreational park in downtown Charles City. After incorporating the planned changes to the stream channel, the model was used to create a library of steady inundation maps which are available on the Iowa Flood Center website.

Indexing (document details)
Advisor: Weber, Larry J., Young, Nathan C.
Commitee: Krajewski, Witold F., Weber, Larry J., Young, Nathan C.
School: The University of Iowa
Department: Civil & Environmental Engineering
School Location: United States -- Iowa
Source: MAI 49/06M, Masters Abstracts International
Subjects: Civil engineering
Keywords: 1D/2D coupled hydraulic model, Floods
Publication Number: 1495724
ISBN: 978-1-124-74320-2
Copyright © 2020 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy