Since settlement first began, equality issues between different social classes have
been evident in the location of where residents settled in New Orleans. This research
seeks to answer the question: What socioeconomic indicators are prevalent in the areas
most-at-risk to flooding which could inhabit populations least able to evacuate?
I will use Census 2000 block group data from the socioeconomic sample data
(SF3) collected in 2000, along with other economic and GIS data from the New Orleans
region to statistically represent the distribution of risk by selecting indicators predicted to
be in flood zones from a classification tree analysis. Then, the results are shown in a
spatial manner to identify the location of the most vulnerable people to a hurricane based
on a set of indicators. The ADvanced CIRCulation Model (ADCIRC) hurricane storm
surge modeling (1) Hurricane Pam and (2) Hurricane Pam85 percent strength, two
hurricane disaster exercises, hurricane probability estimates, and resampled LIDAR
elevation data will be used as the base maps to characterize the areas that will flood first
during a hurricane. The overlaying of the physical and social layers will identify the
most socioeconomically vulnerable people in the first-to-flood areas to show where
evacuation planning is essential. Recommendations for successfully evacuating residents
are then discussed.
| Identifer | oai:union.ndltd.org:LSU/oai:etd.lsu.edu:etd-06132006-125156 |
| Date | 15 June 2006 |
| Creators | Pedro, Stephanie |
| Contributors | Brian Marx, Hassan Mashriqui, Paul Templet, John Pine |
| Publisher | LSU |
| Source Sets | Louisiana State University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lsu.edu/docs/available/etd-06132006-125156/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached herein 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 LSU or its agents the non-exclusive license to archive and make accessible, under the conditions specified below and in appropriate University policies, 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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