INTEGRATING DIGITAL ELEVATION MODEL, LANDUSE/LANDCOVER AND FLOOD FREQUENCY ANALYSIS: A DETERMINISTIC APPROACH TO FLOOD INUNDATION AND RISK MODELING OF MAKURDI ALONG ITS RIVER BENUE REACH
Abstract
The study applied GIS techniques to integrate Digital Elevation Model (DEM), Landuse/Landcover (LULC) and flood frequency analyses to determine extent of flood hazard inundation of Makurdi town along its River Benue reach following extreme discharges and stage levels. Annual maximum stage and discharge data from 1914 to 2015 was analyzed using Gumbel’s distribution to predict flood flow for different return periods (T): 5, 10, 25, 50, 75, and 100. A goodness of fit test was conducted using Chi square statistics, which was insignificant indicating that River Benue at Makurdi flood flow fits the Gumbel distribution. Combining this result with DEM and classified LULC data, the GIS spatial analyst tool was used to estimate the areal extent of landuse that will be inundated per return period. The result shows extent of flood inundation based on current landuse pattern for the respective return periods of predicted extreme stage / discharge likely due to climate change to be as follows: bareland (1.69, 1.74, 1.78, 1.84, 1.83, 1.89 km2); settlement/built-up (5.38, 5.50, 5.63, 5.76, 5.76, 6.02 km2); farmlands (272.27, 283.59, 295.10, 306.43, 306.43,and 317.49 km2); Vegetation (91.56, 95.26, 98.78, 102.45, 102.48, and 105.95 km2); water bodies (0.21,0.21, 0.22,0.22,0.22, and 0.22 km2) and Wetlands (44.14, 45.80, 47.48, 30.36,49.42 and 50.78 km2). This reveals a general increase in the extent of flood inundation at progressive recurrence interval, and predicted rising extreme river stage heights / discharge except for the flood with 50 year recurrence interval. The study recommends that NEMA and Benue State Urban Development Board
References
Abah, R.C. (2012). Causes of seasonal flooding in floodplains: A case of Makurdi, Northern Nigeria. International Journal of Environmental studies.1-9.
Adeoye, N. O., Ayanlade, A., and Babatimehin, O. (2009). Climate Change and Menase of floods in Nigerian cities: Socio-economic implications. The free library, science and Technology, Advance in Natural and Applied Science.
Agusomu, T. D. (2013). The perception of and Response to floods in the Niger Delta Basin of Nigeria. Unpublished Ph.D. Thesis, Department of Geography and Planning, University of Jos.
Brunner, C.W. (2016). HEC-RAS river analysis system-users manual version 5.0. US Army Corps of engineers Institute for water resources, hydrologic engineering center (HEC),p 962.
BSU Geography Department, field work manual (2006). Local field work manual for geography students, Benue State University, Makurdi.
DHI (2012).MIKE 21-2D modeling of coast and sea.DHI water and environment PTY ltd.
Ehiorobo, J.O. and Uso. N.O. (2014).Flood frequency analysis in the Lower River Niger Basin at Onitsha Bridge head. Journal of Engineering Research, volume 19, number 1:33-44.
Freer, J., Beven, K.J., Neal, J., Schumann, G., Hall, J., Bates, P., 2011. Flood Risk and Uncertainty. Risk and Uncertainty Assessment for Natural Hazards, Cambridge, UK, pp. 190-233.
Gumbel, E. J. (1941). The return period of flood flows. Annals of mathematical statistics, 12 (2): 163-190.
Jeb, D. N. (2013). Application of Geo-information Science in Flood risk Analysis in Kaduna Metropolis, Kaduna, Nigeria. Unpublished Ph.D. Thesis submitted to the Department of Geography, Ahmadu Bello University, Zaria.
Jeb, D. N., and Aggarwal, S. P. (2008). Flood inundation hazard modeling of river Kaduna using Remote sensing and GIS. Journal of applied sciences research, 43(12): 1822-1833.
Luo, P., Mu, D., Xue, H., Ngo-Duc, Dang-Dinh, T., Takara, K., Nover, D.and Geofrey, S. (2018).Flood inundation assessment for the Hanoi Central Area, Vietnam under historical and extreme rainfall conditions. Scientific Reports, 8:1-11.
Merz, B. and Thieken, A.H. (2005). Separating natural and epistemic uncertainty in flood frequency analysis. J. Hydrol. 309 (1-4), 114-132.
Moulinec, C., Denis, C., Pham, C.T., Rouge, D. and Hervouet, J.M. (2011). TELEMAC: an efficient hydrodynamics suite for massively parallel architectures. Comput. Fluids 51 (1): 30-34.
Okonofua, S. and Ogbeifun, P. (2013).Flood frequency analysis of Osse River using Gumbel distribution. Civil and Environmental Research, volume 3, number 10: 55-60
Oyatayo, K. T., Kushi, D. Z., Jidauna, G. G., and Ndabula, C. (2017).Gumbel’s flood frequency probability analysis of river Donga, Taraba state, Nigeria. Journal of Geography and Development, 7 (1): 766-782.
Prakash, M., Rochauge, K. and Cleary, P.W. (2014). Modeling the impact of dam failure scenarios on flood inundation using SPH. Applied Mathematical Model, 38(23): 5515-5534.
Schumann, G., Bates, P.D., Horritt, M.S., Matgen, P., Pappenberger, F. (2009). Progress in integration of remote sensing derived flood extent and stage data and hydraulic models. Rev. Geophys. 47 (4), RG400.
Shakirudeen, O. and Saheed, A.R. (2014). Flood Frequency Analysis and Inundation Mapping of Lower Ogun River Basin. Journal of Water Resource and Hydraulic Engineering, 3 (3): 48-59.
Smith, L.C. (1997). Satellite remote sensing of river inundation area, stage, and discharge: a review. Hydrol. Process. 11 (10), 1427-1439.
Teng, A.B., Jakeman, A.J., Vaze, B.J., Croke, B.F.W., Dutta, D. and Kim,S. (2018). Flood inundation modeling: A review of methods, recent advances and uncertainty analysis. Environmental Modelling & Software, 90:201-216.
Tyubee, B.T. (2005). Spatial organization of daily rainfall in the middle Belt of Nigeria. The Benue Valley Journal of interdisciplinary Studies. 4 (1).
UNISDR (2012). United Nations International Strategy for Disaster reduction, available at: http://www.unisdr.org (last access: 31 March 2012), 2012.
Vacondio, R., Rogers, B., Stansby, P. and Mignosa, P. (2011). SPH modeling of shallow flow with open boundaries for practical flood simulation. J. Hydraul. Eng. 138 (6): 530 -541.
White, W.R. (2000). Water in Rivers: flooding, a contribution to the world water Vision, IAHR, UK.
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