Computational flood modeling and visual analysis
<p>This dissertation introduces FESM (Flood Event Simulation Model), a Geographic Information System (GIS) tool designed for use on gaged river systems that can be used to guide logistic support during disaster events. FESM rapidly generates flood predictions using elevation data from real-wor...
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ndltd-MSSTATE-oai-library.msstate.edu-etd-03212016-1854062016-07-15T15:48:17Z Computational flood modeling and visual analysis Johnson, Donald Computer Science and Engineering <p>This dissertation introduces FESM (Flood Event Simulation Model), a Geographic Information System (GIS) tool designed for use on gaged river systems that can be used to guide logistic support during disaster events. FESM rapidly generates flood predictions using elevation data from real-world sensors or generated by other models. Verification and validation data for FESM are provided. In order to construct a visualization system for interacting with FESM outputs, single buffer and dual buffer techniques for moving massive datasets to the GPU for processing using OpenCL were rigorously tested and timed, and an analysis of the costs/benefits of using buffers or images was conducted. Finally, DRO (Dynamic Raster Overlay), a visualization system for analysis of datasets composed of multiple overlapping flood maps is introduced, and expert feedback is provided on the effectiveness of DRO with selected case studies.</p> Derik T. Anderson Song Zang J. Edward Swan II T. J. Jankun-Kelly MSSTATE 2016-04-18 text application/pdf http://sun.library.msstate.edu/ETD-db/theses/available/etd-03212016-185406/ http://sun.library.msstate.edu/ETD-db/theses/available/etd-03212016-185406/ en restricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, Dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Mississippi State University Libraries or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, Dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, Dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, Dissertation, or project report. |
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Computer Science and Engineering Johnson, Donald Computational flood modeling and visual analysis |
description |
<p>This dissertation introduces FESM (Flood Event Simulation Model), a Geographic Information
System (GIS) tool designed for use on gaged river systems that can be used to
guide logistic support during disaster events. FESM rapidly generates flood predictions
using elevation data from real-world sensors or generated by other models. Verification
and validation data for FESM are provided. In order to construct a visualization system for
interacting with FESM outputs, single buffer and dual buffer techniques for moving massive
datasets to the GPU for processing using OpenCL were rigorously tested and timed,
and an analysis of the costs/benefits of using buffers or images was conducted. Finally,
DRO (Dynamic Raster Overlay), a visualization system for analysis of datasets composed
of multiple overlapping flood maps is introduced, and expert feedback is provided on the
effectiveness of DRO with selected case studies.</p> |
author2 |
Derik T. Anderson |
author_facet |
Derik T. Anderson Johnson, Donald |
author |
Johnson, Donald |
author_sort |
Johnson, Donald |
title |
Computational flood modeling and visual analysis |
title_short |
Computational flood modeling and visual analysis |
title_full |
Computational flood modeling and visual analysis |
title_fullStr |
Computational flood modeling and visual analysis |
title_full_unstemmed |
Computational flood modeling and visual analysis |
title_sort |
computational flood modeling and visual analysis |
publisher |
MSSTATE |
publishDate |
2016 |
url |
http://sun.library.msstate.edu/ETD-db/theses/available/etd-03212016-185406/ |
work_keys_str_mv |
AT johnsondonald computationalfloodmodelingandvisualanalysis |
_version_ |
1718350059016290304 |