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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/7337

Title: The Use of Digital Elevation Models for Water- Shed and Flood Hazard Mapping
Authors: Forkuo, Eric K.
Tsawo, Vincent A.
Keywords: DEM
Hazard Maps
River Inundation
Issue Date: 2013
Publisher: International Journal of Remote Sensing & Geoscience (IJRSG)
Citation: International Journal of Remote Sensing & Geoscience (IJRSG),Volume 2, Issue 2, March 2013.
Abstract: Despite the decade-long efforts of nations and work groups towards flood hazard reduction through its program, minimal diminution from these hazards has been realized. This is mainly due to the fact that with the increase in population and urbanization coupled with climate change, flood hazards are becoming increasingly catastrophic. Therefore there is a need to understand and assess flood hazards and to develop means of its management: prediction, preparation, and prevention, mitigation, and post disaster activities. To achieve the aim of its prediction, Geographical Information System (GIS), spatial technology, geospatial and hydrological models were used as tools. In this research paper, Digital Elevation Models (DEMs) which have proven to be a valuable tool for the topographic parameterization of hydrological models which are the basis for any flood modelling process was created from remotely sensed data (ASTER). This derived DEM was used as terrain inputs for performing spatial analysis and obtaining derivative products. The generated DEM was used to delineate drainage patterns and watershed of the study area using ArcGIS desktop and its ArcHydro extension tools. Using geometric data needed for the model-ling process, a vector -based approach was used to derive inundation areas at various flood levels. A Google Earth image of the study area was used as input for determining properties and areas which will be inundated in a flood event and subsequently generating flood inundation maps. The hazard map produced clearly shows the spatial allotment of the flooded area which is located at areas with relatively low relief. The resulting inundation maps show that areas which have experienced extensive flooding in the study area falls within the predicted flood extent. This approach can there-fore provide a simplified means of predicting the extent of inundation during flood events for emergency action esp especially for large areas because of the coverage area of remotely sensed data.
Description: Article published in International Journal of Remote Sensing & Geoscience (IJRSG), 2013.
URI: http://hdl.handle.net/123456789/7337
ISSN: 2319-3484
Appears in Collections:College of Engineering

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