Flood risk analysis is the instrument for utility managers to create a sound strategy and adaptation plans into their communities. Local municipalities are being continuously challenged every year by the impacts of climate change. The need to develop a screening tool to analyze watersheds and find risk areas is the goal of this research. Open source high-quality data is allowing climate scientists to create innovative ways to study watersheds when performing spatial analysis for inundation areas. The development procedures for a screening tool involved combining readily available data on topography, groundwater, surface water, tidal information for coastal communities, soils, open space, and rainfall data. All efforts to help develop a planning level framework that allows investigators to target the optimal set of outcomes for a given community. This framework appears to be viable across cities that may be inundated with water due to sea-level rise, rainfall, runoff upstream, and other natural events. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2020. / FAU Electronic Theses and Dissertations Collection
| Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_44451 |
| Contributors | Rojas, Gerardo (author), Bloetscher, Frederick (Thesis advisor), Florida Atlantic University (Degree grantor), Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science |
| Publisher | Florida Atlantic University |
| Source Sets | Florida Atlantic University |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation, Text |
| Format | 98 p., online resource |
| Rights | Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
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