Flood Vulnerability Mapping of Lokoja Metropolis Using Geographical Information System Techniques

ONUIGBO I.C.¹, IBRAHIM P.O.^1, , AGADA D.U.¹, NWOSE I.A.¹ and ABIMBOLA I.I.²

¹Department of Surveying Geoinformatics, Federal University of Technology Minna, Niger State

²Department of Surveying Geoinformatics, Kwara State Polytechnic, Ilorin

Cite this paper

ONUIGBO I.C., IBRAHIM P.O., AGADA D.U., NWOSE I.A. and ABIMBOLA I.I.. Flood Vulnerability Mapping of Lokoja Metropolis Using Geographical Information System Techniques. Journal of Geosciences and Geomatics. 2017; 5(5):229-242. doi: 10.12691/JGG-5-5-2

Abstract

Adequate geographic information on flood vulnerability is required to be able to prepare for flood disasters. This study applies Geographical information System Techniques to produce flood vulnerability map of Lokoja metropolis due to its confluence nature and its potential to cause devastating effect to the surrounding communities. This study is aimed at mapping flood vulnerable areas within Lokoja metropolis, for an effective flood disaster management and proper planning. Satellites imageries MODIS of 2011and 2012, SPOT 5 of 2011, location map of Lokoja Metropolis, SRTM DEM, rainfall data, water discharge/gauge data, and GPS coordinates; acquired during field survey were integrated to map areas vulnerable to flooding. In this study Rank Sum method alongside Principal Component Analysis (PCA) is used to calculate the weight of factors that contributed to flooding within Lokoja metropolis. The study is limited to environmental factors such as hydrology, slope, soil type, drainage density, landform and landuse/landcover. Different maps were generated; composite map of the study area, flood extent map, flood plain map, slope map, flow direction map, flow accumulation map, Triangular irregular network, flood vulnerability map and also pie chart showing percentage area impacted, histogram showing the pattern of rainfall within Lokoja metropolis was generated. The approach resulted in four classes of flood vulnerability ranging from not vulnerable, less vulnerable, more vulnerable and most vulnerable areas. The area not vulnerable accounted for 20.25%, less vulnerable area accounted for 34.57%, more vulnerable area accounted for 28.57%, and the most vulnerable area accounted for 16.61%. The study concludes by proffering a number of recommendations aimed at addressing the issue of flooding within Lokoja metropolis. The recommendations includes; construction of levee along areas that are vulnerable to flooding, widening and construction of standard drainages around Lokoja metropolis, dredging of surrounding water bodies to deepen their depth, among others.

Keywords

flood, Lokoja, GIS, metropolis, vulnerability, rank, techniques

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]	Aderoju, O .M., Jantiku, J., Fagbemiro, O. A., Aliyu, I., Nwadike, B. K., Ajonye, S. E., and Salman, K. S. (2014). Geospatial assessment of 2012 flood disaster in Kogi State. Journal of Environmental Science, Toxicology And Food Technology, PP 74-84. www.iosrjournals.org (accessed 27th October, 2015).
[2]	Biswas, A., Jana, A., Mandal, A. (2013). Application of remote sensing, GIS and MIF technique for elucidation of groundwater potential zones from a part of Orissa coastal tract, Eastern India. Research Journal of Recent Sciences, 2(11), 42-49.
[3]	Few, R (2003). Flooding, Vulnerabilty and Coping Strategies: Local responses to global threats. Progress Development Studies, 3, pp 43-58.
[4]	Price R. K., & Z. Vojinovic (2008). Urban flood disaster management, Urban Water Journal, 5:3, 259-276.
[5]	Hewitt, K. and Burton, I., (1971). The hazardousness of a place: A regional geology of damaging events, University of Toronto, Department of Geography Research Publication, 5, pp 154-155.
[6]	IPCC (2007) Climate Change Impacts, adaptation and Vulnerability, Contribution of Working Group II to the Fourth Assessment Report of the Inter governmental Panel on Climate Change, (pp. 77-103). Cambridge, UK; Cambridge University Press.
[7]	Adeoye, N. O., Ayanlade, A. and Babatimehin, O., (2009). Climate change and menaceof floods in Nigerian Cities, Socio-economic implications, Advances in Natural and Applied Sciences, 3(3), 369-377.
[8]	Adeloye, A., and Rustum, R. (2011). Lagos (Nigeria) flooding and influence of urban planning. Journal of Urban Design and Planning, 164, 175-187.
[9]	Izinyon, O. and Ehiorobo, J., (2011), Measurements and documentation for flood and erosion monitoring and control in the Niger Delta states of Nigeria, TSo7e Engineering Survey, Marrakech, Morocco.
[10]	Adeoye, N.O. (2012). Spatio-temporal analysis of Landuse/cover change of Lokoja- a Confluence town. Journal of Geography and Geology, vol.4 no 4; 2012, pp 40-51, published by Canadian Center of Science and education.
[11]	African Research Bulletin (ARB) (2010) “policy and practice, economic trends, BENIN: Counting the cost of Floods”, African Research Bulletin: Economic, financial and Technical Series, 47(11), Pp 18902-18903, Black Well Publishing ltd.
[12]	Brooks, N., Adger, W.N., and Kelly, P.M. (2005), The determinant of vulnerability and adaptive capacity at the national level and the implication for adaptation. Global Environmental Change vol 15, pp 151-163.
[13]	Chidinma, B. O., Vincent, N. O., (2015), Mapping of flood prone areas in Surulere, Lagos, Nigeria: A GIS Approach. Journal of Geographic Information System, 7, pp 158-176. http://www.scirp.org/journal/jgis (accessed 18th Jan., 2016).
[14]	Eguaroje, O. E., Alaga T. A., Ogbole J. O., Omolere S., Alwadood J., Kolawole I. S. et al. (2015). Flood vulnerability assessment of Ibadan City, Oyo State, Nigeria. World Environment, 5(4): 149-159..
[15]	IPCC (2001): Climate change 2001: impacts, adaptation, and vulnerability, summary for policymakers (A Report of working group II of the IPCC). Genever, Switzerland.
[16]	Isma’il, M., and Iyortim, O. S., Application of Remote Sensing (RS) and Geographic Information Systems (GIS) in flood vulnerability mapping. International Journal of Geomatics and Geosciences Vol. 3, 3, pp 618-62. www.sciencedirect.com (accessed Nov., 30th, 2015)
[17]	Greenlee, D. D. (1987). “Raster and Vector Processing for Scanned Linework.” Photogrammetric Engineering and Remote Sensing 53 (10): pp 1383-1387.
[18]	Ifatimehin, O., and Ufuah, M., (2006), An analysis of urban expansion and loss of vegetation in Lokoja using GIS techniques, Zaria Geographic vol 17, pp 28-36.
[19]	Eastman, J.R. (2001) IDRISI, Guide to GIS Image processing, vol. 2, pp 56-57. www.gyml.unibas.ch/go/17/pdf2/guide2 (assessed 28th sept. 2015).
[20]	Eludoyin, O.S. and Weli, V. (2010). Spatial analysis of flood vulnerability levels in Port Harcourt metropolis using Geographic Information Systems (GIS). http://creativecommons.org/licenses/by/4.0/ (accessed 11th Jan., 2016).
[21]	Etuenovbe, A. (2011). The divastating effect of fooding in Nigeria. Paper presented at the Bridging the Gap between Cultures, FIG working week, Morocco, Africa.
[22]	Jeb, D.N., and Aggarwal, S.P (2008), “Flood in Inundation Hazard Modelling of the River Kaduna using Remote Sensing and Geographic Information Systems”, Jouranal of Applied Sciences Research, 4 (12), pp 1822-1833.
[23]	Jenson, S. K., and J. O. Domingue. 1988. “Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis.” Photogrammetric Engineering and Remote Sensing 54 (11): 1593-1600.
[24]	Kebede, Bishaw, Application of GIS and Remote Sensing Techniques for Flood Hazard and Risk Assessment. Proceeding of the 2012 Berlin Conference on the Human Dimensions of Global Environmental Change.
[25]	Klingebiel, A. A., E. H. Horvath, W. U. Reybold, D. G. Moore, E. A. Fosnight, and T. R. Loveland, 1988. A Guide for the Use of Digital Elevation Model Data for Making Soil Surveys: U.S. Geological Survey Open-File Report 88-102, 18 p. (in press).
[26]	Koppen, W. (19336). The Geographic System of Climate., Berlin, Germany: Borntraeger Science Publshers.
[27]	Lillesand, T.M., Keifer, R., and Jonathan, W.C., (2007): Remote sensing and image interpretation. Sixth Edition: John Wiley & Sons, Inc.
[28]	Ismail, M, and Opeluwa, I.S. (2013). Application of Remote Sensing (RS) and Geographic Information Systems (GIS) in flood vulnerability mapping: Case study of River Kaduna, Journal Of Geomatics and Geosciences.Volume 3, No 3, 2013.
[29]	Maguire, O.J. (1991). An overview and definition of GIS. Geographical information systems: principles and applications, 1, 9-20.
[30]	Mark, D. M. 1988. “Network Models in Geomorphology.” Modelling Geomorphological Systems, ed. M. G. Anderson. New York: John Wiley. 73-97.
[31]	Midgley, S.J.E, Davies, R.A.G., and Chesterman, S. (2011, November). Climate Risk and vulnerability mapping: status quo (2008) and future (2050). Paper presented at Regional Climate Change programme Southern Africa (RCCP), UK Department for international Development (DFID), One World Sustainable Investments, Cape Town, South Africa.
[32]	National Aeronautic and Space Administration NASA (2011f), “Flooding in Nigeria”, NASAEarth Observatory available at http://earthobservatory.nasa.gov/NaturalHazards/view.php?id=46322.
[33]	National Emergency Management Agency, NEMA (2013). A Publication of Punch Newspaper, November, 18, 2013.
[34]	Odumosu, O.J., Ajayi, O.G., and Adesina, E. (2014). Modeling Surface Runoff and Mapping Flood Vulnerability in Lagos State from Digital Elevation Model; Paper presented at 2014 FIG Congress; Engaging Challenges-Enhancing the Relevance, Kuala Lumpur, Malaysia 16-21 June 2014.
[35]	Ojeh, V. N., and Ugboma, P. (2012). Flood Hazard in Urban Niger Delta: A case study Abraka Town, Delta State, Nigeria. Internation Journal of Environmental Research, 1, 23-29.
[36]	Olayemi, J.O., Oluibukun, G. A., and Ekundayo, A. (2014). Modeling surface runoff and mapping flood vulnerability of Lagos State from Digital Elevation Model. paper presented at the FIG congress Kuala Lumpure, Malaysia.
[37]	Nwilo, P.C., D., Nihinlola, O., and Ayila, E. A. (2012). Flood modeling and vulnerability Assessment of settlements in the Adamawa State floodplain using GIS and Cellular Framework Approach; Global Journal of HUMAN SOCIAL SCIENCE Volume 12 Issue 3 2012 Global Journals Inc. (US).
[38]	Peucker, T. K., and Douglas, D. H., 1975. Detection of surface-specific points by local parallel processing of discrete terrain elevation data: Computer Graphics and Image Processing, Vol. 4, pp. 375-387.
[39]	Shantosh, K. (2011). GIS based flood hazard mapping and vulnerability assessment of people in Kankai (East Nepal, Pakistan) due to climate change. www.library.witpress.com (accessed 23rd Aug, 2015).
[40]	Tarboton, D. G., R. L. Bras, and I. Rodriguez-Iturbe. (1991). “On the Extraction of Channel Networks from Digital Elevation Data.” Hydrological Processes 5: 81-100.
[41]	Thecla, I. A., and Chinedu, O., (2015). Spatial analysis of vulnerability to flooding in Port Harcourt Metropolis, Nigeria. (accessed 23rd Aug, 2015). Htt://www.creativecommons.org/licenses/
[42]	U.S. Geological Survey, (1987). Digital Elevation Models: U.S. Geological Survey Data User’s Guide 5, 38 p. 23.
[43]	Ward, R. C. (1978) Floods: A geographical perspective. London, England: The Macmillan Press.
[44]	Wikipedia, the free encyclopedia (2007): flood. htt://en.wikipedia.org (accessed 26th Sept, 2015).
[45]	Worrall, L. (Ed.). (1990). Geographic Information Systems: Developments and Applications (Vol.1) Burns and Dates’.