Document Type
Thesis
Degree
Master of Science (MS)
Major/Program
Environmental Engineering
First Advisor's Name
Hector R. Fuentes
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Stephen P. Leatherman
Third Advisor's Name
Dean Whitman
Fourth Advisor's Name
Keqi Zhang
Date of Defense
3-10-2003
Abstract
The objective of this study was to develop a GIS-based multi-class index overlay model to determine areas susceptible to inland flooding during extreme precipitation events in Broward County, Florida. Data layers used in the method include Airborne Laser Terrain Mapper (ALTM) elevation data, excess precipitation depth determined through performing a Soil Conservation Service (SCS) Curve Number (CN) analysis, and the slope of the terrain. The method includes a calibration procedure that uses "weights and scores" criteria obtained from Hurricane Irene (1999) records, a reported 100-year precipitation event, Doppler radar data and documented flooding locations. Results are displayed in maps of Eastern Broward County depicting types of flooding scenarios for a 100-year, 24-hour storm based on the soil saturation conditions. As expected the results of the multi-class index overlay analysis showed that an increase for the potential of inland flooding could be expected when a higher antecedent moisture condition is experienced. The proposed method proves to have some potential as a predictive tool for flooding susceptibility based on a relatively simple approach.
Identifier
FI14032314
Recommended Citation
Anderson, Carolyn J., "Development and evaluation of a geographic information system based method to estimate flooding susceptibility in an area of Broward County, Florida" (2003). FIU Electronic Theses and Dissertations. 1285.
https://digitalcommons.fiu.edu/etd/1285
Rights Statement
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Comments
If you are the rightful copyright holder of this dissertation or thesis and wish to have it removed from the Open Access Collection, please submit a request to dcc@fiu.edu and include clear identification of the work, preferably with URL.