Flood prediction in Ungauged Basin using Shuttle Radar Topography Mission (SRTM) DEM Data

The poor presentation of hydrological processes in all cadres of models and the need for improvement on this coupled with the observed drastic decline in hydrometeorological network in developing countries since the 1980 has marked another major phase in the application of the computing and information systems to hydrological science in form of the PUB (Prediction of Unguaged Basins) initiative targeted at the generation of synthetic data for water resources planning and management. Thus, this study examines the value that could be added to basin studies by employing technology-enhanced synthetic unit hydrographs for Prediction of Ungauged Basin (PUB) method, using morphological transfer function techniques towards a dynamic, operational hydrological practice in the data-scarce Yewa basin. Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) data was used for the analysis. The derived Geomorphological Instantaneous Unit Hydrograph using the morphological transfer function technique displays a multi-peak hydrograph within Yewa drainage basin. This is an evidence of non-synchronized flow with probability of experiencing intermittent floods. Also, the land use/land cover dynamics studies was carried out in order to estimate flood risk and hazards in Yewa basin under different scenarios building using convolution method for composite rainfall intensity and estimation of available water volume (m3) for water resources development. Finally, the study makes a case for the adoption of PUB initiative as a predictive tool towards flood warning system and sustainable flood planning scheme to the benefit of all in poorly gauged and ungauged basin like Yewa basin.


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