An Integrated Approach to Modelling of Flood Hazards in the Rapidly Growing City of Osogbo, Osun State, Nigeria
Suleiman Abdul-Azeez Adegboyega, Oluchi Christiana Onuoha, Komolafe Akinola Adesuji, Ayo Emmanuel Olajuyigbe, Adebola Abiodun Olufemi and Matthew Olomolatan Ibitoye
DOI : 10.3844/ajssp.2018.1.15
Space Science International
Volume 4, 2018
In recent times, the swift and uncoordinated urban expansion in the medium sized city of Osogbo has increasingly encroached on the environmental sensitive areas. This uncoordinated exploitation of the ecological fragile areas for urban development has triggered urban flooding, which poses serious threat to human lives and properties in the city. This study therefore utilized geospatial technologies to generate flood hazard model for medium sized cities in developing countries in general and Nigeria in particular with a view to identifying hotspots and providing measures to forestall flood occurrences. The study used Shuttle Radar Topography Mission-Digital Elevation Model (SRTM-DEM), Landsat 7- 2000 and Operational Land Imager 8 (OLI)- 2015 images. Multi-criteria evaluation method was used to derive the physical characteristics of watersheds from the data to delineate the areas vulnerable to flooding. Flood inundation characteristics were simulated using Hydrologic Engineering Centre-River Analysis System (HEC-RAS) model with GIS interface and found discharge of over 500 m3/s for the 100-year profile period to be high, given the size of the analyzed basin (207.41 km2). The flood hazard map showed that 3.92, 103.38 and 100.11 km2 were least, moderately and highly vulnerable areas respectively. Most prone areas were built-ups with high impervious surface in the basin area where floodplain traversed high and moderate vulnerability zones. The study advocates consistent use of dynamic model within GIS for floodplain delineation and management planning to reduce the flood hazards.
© 2018 Suleiman Abdul-Azeez Adegboyega, Oluchi Christiana Onuoha, Komolafe Akinola Adesuji, Ayo Emmanuel Olajuyigbe, Adebola Abiodun Olufemi and Matthew Olomolatan Ibitoye. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.