<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This study utilized Spatial Information Technology (SIT) such as Remote Sensing (RS), a Geographical Information System (GIS), the Global Positioning System (GPS) and a high-resolution Digital Elevation Model (DEM) for a morphometrical analysis of five sub-basins within the Lower Niger River Basin, Nigeria. Morpho-metrical parameters, such as the total relief, relative relief, relief ratio, ruggedness number, texture ratio, elongation ratio, circularity ratio, form factor ratio, drainage density, stream frequency, sinuosity factor and bifurcation ratio, have been computed and analyzed. The study revealed that the contribution of the morphometric parameters to flooding suggest catchment No. 1 has the least concentration time and the highest runoff depth. Catchment No. 4 has the highest circularity ratio (0.35) as the most hazardous site where floods could reach a great volume over a small area.</p></abstract>

This study utilized Spatial Information Technology (SIT) such as Remote Sensing (RS), a Geographical Information System (GIS), the Global Positioning System (GPS) and a high-resolution Digital Elevation Model (DEM) for a morphometrical analysis of five sub-basins within the Lower Niger River Basin, Nigeria. Morpho-metrical parameters, such as the total relief, relative relief, relief ratio, ruggedness number, texture ratio, elongation ratio, circularity ratio, form factor ratio, drainage density, stream frequency, sinuosity factor and bifurcation ratio, have been computed and analyzed. The study revealed that the contribution of the morphometric parameters to flooding suggest catchment No. 1 has the least concentration time and the highest runoff depth. Catchment No. 4 has the highest circularity ratio (0.35) as the most hazardous site where floods could reach a great volume over a small area.

Morphometrical Analysis and Peak Runoff Estimation for the Sub-Lower Niger River Basin, Nigeria

Department of Water Resources and Environmental Engineering, University of Ilorin, Ilorin, Nigeri

Department of Civil Engineering and Surveying, Durban University of Technology, Durban, South Africa

National Centre for Hydropower Research and Development, University of Ilorin, Ilorin, Nigeria

Department of Civil Engineering, Kwara State University Malete, Nigeria

Slovak Journal of Civil Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This study utilized Spatial Information Technology (SIT) such as Remote Sensing (RS), a Geographical Information System (GIS), the Global Positioning System...

Morphometrical Analysis and Peak Runoff Estimation for the Sub-Lower Niger River Basin, Nigeria

Online veröffentlicht: 18. Apr. 2016

Seitenbereich: 6 - 16

DOI: https://doi.org/10.1515/sjce-2016-0002

Schlüsselwörter
Digital Elevation Model, Drainage Network, Morphometrical Parameters, River Basin, Spatial Information Technology, Sustainable Development

© 2016 Faculty of Civil Engineering, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Morphometrical Analysis and Peak Runoff Estimation for the Sub-Lower Niger River Basin, Nigeria

Online veröffentlicht: 18. Apr. 2016

Seitenbereich: 6 - 16

DOI: https://doi.org/10.1515/sjce-2016-0002

SchlüsselwörterDigital Elevation Model, Drainage Network, Morphometrical Parameters, River Basin, Spatial Information Technology, Sustainable Development

© 2016 Faculty of Civil Engineering, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Digital Elevation Model, Drainage Network, Morphometrical Parameters, River Basin, Spatial Information Technology, Sustainable Development