• Sulaiman Yunus



Digital Elevation Model, Flow Direction, Flow Accumulation, Buffer Analysis


The threat posed by urban flooding in most cities of the world is becoming alarming especially within the recent decades. This makes it necessary to Identify and delineate flood risk areas within cities in order to curb it menace. This study employs geospatial technique to delineate flood risk areas within Kano metropolis with a view to mitigating its impact on lives and properties. Digital Elevation Model (ASTER DEM 30m) was used to derive excess surface run-off attributes including flow direction and accumulation. Based on these attributes, flood risk areas were determined and delineated using buffer distances of 500 meters. World View image (30 cm spatial resolution) was used to identify the landuses at risk. The result from the analysis delineated flood risk areas at varying exposure levels (i.e high, moderate and low).It was evident that flood risk level within the metropolis corresponds to the pattern of surface run-off flow accumulation areas. Settlements and farmlands found within high accumulation areas along the floodplains of River Jakara (in the North and North-eastern part) and Kano-Zaria road (southern part) are at higher risk than those found on low accumulation areas. The study concluded that excess surface run-off flow direction and accumulation are among the fundamental factors determining the risk to urban flooding. The study recommends that with the ongoing level of urban development and impervious surface expansion, urban planners and policy makers should make use of the flow direction and accumulation maps in determining safer places for future developments.


Adelekan, O.I, (2009). Vulnerability of Urban Poor Coastal Communities to Climate Change in Lagos Island, Nigeria. International Journal of Climatology, 18, pages 1273 – 1284.

Agbonkhese, O., Joe-Abaya, J., Ocholi, M., & Adekunle, A. (2014). Flood Menace in Nigeria: Impacts, Remedial and Management Strategies. Civil and Environmental Research, 6(4), 32-40–40. www.iiste.orgISSN 2224-5790 (Paper) ISSN 2225-0514 (Online) Vol.6, No.4, 2014

Al Saud M., (2010). Assesment of Flood Hazard of Jeddah Area 2009,Suadia Arabia. Journal of Water Resource and Protection , pp. 839-847, September 2010.

Alfieri L., Thielen J., Pappenberger F, (2012). Ensemble hydro-metrological simulation for flash flood early detection”, Elsevier Journal of Hydrology, vol. 424-425, pp.143-153, March 2012.

Azua, S., Youngu, T. T., Aliyu, Y. A., Shebe, M. W. and Sule, J. O. (2019). Spatial Multi-Criteria Analysis for Mapping of Flood Vulnerable Areas in Fagge Local Government Area of Kano State, Nigeria. FUTY Journal of the Environment Vol. 13 No. 1, 23–35.

Bamidele, O. F, Badiora, A. I. (2019). Flood Disaster Vulnerability in North Central Nigeria. International Journal of Research and Innovation in Social Science (IJRISS) |Volume III, Issue XII, December 2019|ISSN 2454-6186. III(Xii), 364–371.

Barau, A. S. (2005). An account of the high population in Kano State, Northern Nigeria. Department of Geography, F.C.E. Kano.

Barau, A. S. (2007) The great attractions of Kano, Research and Documentation Directorate, Government house (RDD), Kano State.

Barau, A. S. Maconacchie, R. Ludinc, A. N.M. and Abdulhamid, A. (2015) Urban morphology dynamics and environmental change in Kano, Nigeria. Land Use Policy 42, 307-317.

Biondi B., and Luca D. L. D., (2013). Performance assessment of a Bayesian Forecasting System (BFS) for real time flood forcasting. Elsevier Journel of Hydrology, vol.479, pp.51-63, 2013.

Borga, M., Anagnostou, E.N., Blöschl, G. and Creutin, J. D., (2011). Flash flood forecasting, warning and risk management: The hydrate project. Journal for Environmental Science Policy.14, 834–844.

Chan Y., and Mori M., (2011). Web-based flood monitoring system using Google Earth and 3D GIS. IEEE International Geo science and Remote Sensing Symposium (IGARSS), pp.1902-1905, 24-29 July 2011.

Chaochao Li, Xiaotao Cheng, Na Li, Xiaohe Du, Qian Yu and Guangyuan Kan, (2016). A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas. Int. J. Environ. Res. Public Health 2016, 13, 787; doi:10.3390/ijerph13080787

Cheng, X.T.; Li, C.C., (2015). The evolutionary trend, key features and countermeasures of urban flood risk. China Flood Drought Manag. 2015, 25, 6–9. (In Chinese).

Daffi, R. E. Okun, J.A. and Ismail, A. (2014). Flood vulnerability assessment of River Dep floodplains in North Central Nigeria. International Journal of Water Resources and Environmental Engineering. 6 (2), 6 - 72. ISSN 2151 – 6613. Retrieved from

Dawod G. M., and Koshak N. A., (2011). Developing GIS-Based Unit Hydrographs for Flood Management in Makkah Metropolitan Area, Saudi Arabia. Journal of Geographic Information System,pp. 153-159, 2011.

Dawood G. M., Mirza M. N., Al-Ghamdi K. A., (2011). GIS-Based Spatial Mapping of Flash Flood Hazard in Makkah City,Suadia Arabia. Journal of Geograhic Information System, vol. 3, pp. 225-231, July 2011.

Dawson, R.J., Speight, L., Hall, J.W., Djordjevic, S., Savic, D., Leandro, J. (2008). Attribution of flood risk in urban areas. J. Hydroinf. 2008, 10, 275–288.

Dihn, Q., Balica, S., Popescu, I. and Jonoski, A., (2012). Climate change impact on flood vulnerability, vulnerability and risk of the Long Xuyen Quadrangle in the Mekong Delta. International Journal River Basin Management. 10, 103–120.

Ejikeme, J. O. Igbokwe, J. I. Ezeomedo, I. C. Aweh, D. S. and Akinroye, R. (2015). Analysis of risks and impacts of flooding with satellite remote sensing. Journal for Environment and Earth Science. 5 (4), ISSN: 2225 - 3948. Retrieved from:

Emmanuel, A. (2016). Socio-economic impact of flooding in the Niger Delta Region. Advances in Natural and Applied Sciences, 3(3), 369-377.

ESRI, (2020). How Flow Accumulation works. Accessed from,

Eze, N. J. Vogel, C., and Ibrahim, P.A., (2018). Assessment of Social Vulnerability of Households to Floods in Niger State. International Letters of Social and Humanistic Sciences, 24, 22-34

for Bandar Segamat Sustainability Using Remote Sensing and GIS Approach. IEEE Control and System Graduate Research Colloquium (ICSGRC 2012),PP. 386-391, 16-17 July 2012.

Hailin Z., Yi J., Xuesong Z., Baoyin H., (2010). GIS-based Risk Assessment for Regional Flood Disaster. IEEE International Conference on Environmental Science and Information Application Technology, 2010.

Ikusemanran (2017) Remote Sensing and GIS for Flood Surveillance: A Case Study of Kainji Lake Basin, New Bussa, Nigeria. Unpublished M. Tech Thesis, Department of Geography, Federal University of Technology, Minna.

Iliyasu, U. (2017). Flood Risk Assessment in Parts of Hadejia- Jama ’ are River Basin ( HJRB ) of Jigawa State , Nigeria. An M . Sc . Thesis submitted to the Department of Geography, Faculty of Earth and Environmental Sciences, Bayero University , Kano.

Itopa, M. (2019). Social Vulnerability to Flooding in Lokoja Metropolis. Journal of Natural Disaster Reduction, 5(3), 1-23.

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.

Jonkman, S. N. and Dawson, R.J., (2012). Issues and challenges in flood risk management. Editorial for the Special Issue on Flood Risk Management. 4, 785–792.

Khan, S. I., Hong, Y., Wang, J., Yilmaz, K. K., Gourley, J. J., Adler, and R.F., … Irwin, D., (2011). Satellite remote sensing and hydrologic modeling for flood inundation mapping in Lake Victoria basin: Implications for hydrologic prediction in ungagged basins. IEEE Transportation Geoscience Remote Sensing. 49, 85–95.

Liu J., Wen J., Yang K., Shang Z., Zhang H., (2011). GIS-Based Analysis of Flood Disaster Risk in LECZ of China and Population Exposure. IEEE Trans. 19th International Conference on Geo informatics, Shanghai, China, June 2011.

Maigari A. I, (2014). Evolutionary Trend, Spatial Distribution of, and Issues Associated with Markets in Kano Metropolis: Research on Humanities and Social Sciences, Vol.4, No.28, 2014, ISSN (Paper) 2224-5766 ISSN (Online)2225-0484 (Online),

Mohammed M.U, Hassan N.I & Badamasi M.M, (2019): In search of missing links: urbanisation and climate change in Kano Metropolis, Nigeria, International Journal of Urban Sustainable Development, DOI: 10.1080/19463138.2019.1603154.

Nabegu, A. B. (2014). Analysis of Vulnerability to Flood Disaster in Kano State, Nigeria. Greener Journal of Physical Sciences, 4(2), 22–29.

Nkwunonwo U. C, Whitworth M. and Baily B. (2015). Flooding and Flood Risk Reduction in Nigeria: Cardinal Gaps. Journal of Geography and Natural Disasters, 05(01), 1–12.

Nuissl H., and Siedentop S. (2021) Urbanisation and Land Use Change. In: Weith T., Barkmann T., Gaasch N., Rogga S., Strauß C., Zscheischler J. (eds) Sustainable Land Management in a European Context. Human-Environment Interactions, vol 8. Springer, Cham.

Nwilo, P. C. Olayinka, D. N and Adzandeh, A. E. (2012). Global journal of Human Social Science. 12, (3), 1 - 17

Ogwuche, J. A. and Abah, I. A. (2014). Assessment of flood disaster vulnerability for flood insurance program in part of Makurdi floodplain, Benue State, Nigeria. Donnish Journal of Ecology and Natural

Ojigi, M. L. Abdulkadir, F. I. and Aderoju, M. O. (2013). Geospatial mapping and analysis of the 2012 flood disaster in central parts of Nigeria. Paper presented at the 8th National GIS symposium Dammam. Saudi Arabia.

Rozalis S., Morin E., Yair Y., Price C., (2010). Flash Flood Prediction using an uncelebrated hydrological model and radar rainfall data in a Mediterranean watershed under changing hydrological conditions. Elsevier Journel of Hydrology,vol.394, pp.245-255, 2010.

Samarasinghea S. M. J. S., Nandalalb H. K., Weliwitiyac D. P., Fowzed J. S. M., Hazarikad M. K., Samarakoond L., (2010). Application of Remote Sensing and GIS for flood Risk Analysis: A Case study at Kalu-Ganga River SriLanka. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Volume XXXVIII, 2010.

Seal V., Raha A., Maity S., Mitra S., Mukrjee A., Naskar M. K., (2012). A Real Time Multivariate robust Regression Based Flood Prediction Model using Polynomial Approximation for wireless sensor network based flood forcasting system. Springer Journal of Advances in Computer science and information Technology, vol.86, pp. 432-441,v2012.

Simonovic, S.P., (2011). Systems approach to management of disasters: methods and applications. New York: John Wiley & Sons.

Sulaiman N. A., Husain F., Hashim K. A., Samad A., (2012). A Study on Flood Risk Assessmentfor Bandar Segamat Sustainability Using Remote Sensing and GIS Approach. IEEE Control and System Graduate Research Colloquium (ICSGRC 2012),PP. 386-391, 16-17 July 2012.

Xiaomeng Y. M., Xiaojuan L., Sun L. Y., Li X., (2011). Rapid Assessment of Flood Disaster Loss in Sind and Punjab Province, Pakistan Based on RS and GIS. IEEE Trans. (ICMT) International Conference on Multimedia Technology, PP.646-649, Beijing, China, July 2011.

Yunus S. and Khalid A. M., (2020). Urban Flood Hazardscape Pattern and Vulnerability Dynamics in Kano Metropolis, Kano State, Nigeria. Submitted to Confluence Journal of Environmental Studies for publication.

Zhang J., Song L., Feng F., Gong H., (2010). Hydrologic Information Extraction for Flood Disaster Risk Assessment in Pearl River Basin and Luan River Basin, China. IEEE Trans. International Conference on geoinformatics,pp.1-4, June 2010.




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