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Flood causes loss of life, damage to critical infrastructure, increase in waterborne diseases, and disruption of human means of livelihood. This calls for the importance of a flood hazard map that can help the government and populace to know where might be flooded in order to be prepared and to mitigate this constantly occurring hazard.This paper utilized geospatial techniques to generate and combine flood hazard components and in the process create a flood hazard map of Fufore Local Government Area, North-Eastern Nigeria. The datasets include the distance from rivers, elevation, slope, rainfall intensity, and land use/ landcover of the study area. Four hazard zones were derived: very high, high, low, and very low. The analysis shows that Low flood hazard zone has the highest coverage with 2112.5 km2 (49.9%), followed by a High flood hazard zone of 1784.6 km2 (42.2%) and Very High with 183.58 (4.3%). The Very Low areas have the least areal extent with 144.89 km2 (3.42%). The total coverage of Very Low and Low areas is 53.32% while High and Very High zones constitute 46.68%. Out of the 26 communities hosting major markets, 4 are found in the Very High zone, 10 in High, 12 in Low and none in Very Low Hazard zone. Markets such as Kasuwar Wurobokki, Kasuwar Bilachi Bwatye, Chigari, Chikito, Mayo Ine, Mayo Sadi, Shuwari Market, and Tike Market are highly susceptible to flooding. Generally, about 91 settlements including Mayo Inne, Damboire Nadere, Tunga Agatu, Tudun WadaWuro Fulbere and Gangare Gidan Audu are all located within the Very High flood hazard zone. Some of these impotant are located within the low-lying areas of Lagdo River and its tributaries. This indicates the fact that in the event of flooding, a high proportion of the population in the study area might be displaced, loose their means of livelihood, impede children's access to schools, and damage essential infrastructure and buildings. The paper has revealed the capabilities of hazard maps to communicate information that could enable policymakers, community members, and related stake holders to take to mitigate flood disaster in the study area.
Sanyal J, Lu XX. Application of remote sensing in flood management with special reference to monsoon Asia: A review. Natural Hazards. 2004;33(2):283–301.
National Geographic. Floods; 2018.
Retrieved February 2021.
Centre for Research on Epidemiology of Disasters (CRED); (2015).
Target R. Humanitarian Situation Report. Indicators. 2019;97:35.
Nwilo PC, Olayinka DN, Adzandeh AE. Flood modelling and vulnerability assessment of settlements in the Adamawa state floodplain using GIS and cellular framework approach. Global Journal of Human Social Science. 2012;12(3):11–20.
Nkwunonwo UC. Assessment of social vulnerability for efficient management of urban pluvial flooding in the Lagos metropolis of Nigeria. J Environ Stud. 2017;3(1):11.
WHO. Flooding: Managing Health Risks; 2017.
Crichton D. The risk triangle. Natural Disaster Management. 1999;102(3).
Cardona OD, Van Aalst, Birkmann MK, Fordham J, Mc Gregor M, Rosa G, et al. Determinants of risk: Exposure and vulnerability. In Managing the risks of extreme events and disasters to advance climate change adaptation: Special report of the intergovernmental panel on climate change. Cambridge University Press. 2012;65–108.
Tschakert P, Zimmerer K, King B, Baum S, Wang C, Kunches D. Vulnerability to natural hazards. The Pennsylvania State University. 2011;1–6.
Kumpulainen S. Vulnerability concepts in hazard and risk assessment. Special Paper-Geological Survey of Finland. 2006;42:65.
Njoku C, Efiong J, Uzoezie A, Okeniyi F, Alagbe A. A GIS Multi-Criteria Evaluation for Flood Risk-Vulnerability Mapping of Ikom Local Government Area, Cross River State. Journal of Geography, Environment and Earth Science International. 2018;15(2):1–17.
Sweta Rani V, Nithya Reddy, Yovan Felix A, Nethaji Mariappan VE. A review on applications of flood risk Assessment International Journal of Computer Science and Engineering. 2018;7(2):1-18.
Rimba AB, Setiawati MD, Sambah AB, Miura F. Physical Flood Vulnerability Mapping Applying Geospatial Techniques in Okazaki City , Aichi; 2017.
Shivaprasad Sharma SV, Roy PS, Chakravarthi V, Srinivasa Rao G. Flood risk assessment using multi-criteria analysis: A case study from Kopili river basin, Assam, India. Geomatics, Natural Hazards and Risk. 2018;9(1):79–93.
Ugoyibo OD, Enyinnaya O, Souleman L. Spatial Assessment of Flood Vulnerability in Anambra East Local Government Area, Nigeria using GIS and Remote Sensing. British Journal of Applied Science & Technology. 2017;19(5):1–11.
Al-Anbari MA, Thameer MY, Al-Ansari N. Landfill site selection by weighted overlay technique: Case study of Al-Kufa, Iraq. Sustainability (Switzerland). 2018;10(4):1–11.
Adebayo AA, Zemba AA. Climate Change in Adamawa State, Nigeria: Evidence from Agro; 2012.
Musa AA, Tukur AL. Measuring Land cover Indices of Adamawa State Using Remote Sensing and Geographic Information System (GIS) Techniques, FUTY Journal of the Environment. 2009;4(1):1 – 11.
Kazakis N, Kougias I, Patsialis T. Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope-Evros region, Greece. Science of the Total Environment. 2015;538:555–563.
Njoku CG, Efiong J, Ayara NAN. A Geospatial Expose of Flood-Risk and Vulnerable Areas in Nigeria. International Journal of Applied Geospatial Research. 2020;11(3):87–110.
Samanta S, Koloa C. Pal DK, Palsamanta B. Flood risk analysis in lower part of Markham river based on multi-criteria decision approach (MCDA). Hydrology. 2016a;3(3).
Al-Zahrani M, Al-Areeq A, Sharif HO. Estimating urban flooding potential near the outlet of an arid catchment in Saudi Arabia. Geomat Nat Hazards Risk. 2016;1:1–17.
Adamawa State – datasets.
Andongma W, Kudamnya E, Gajere J. Flood Risk Assesment of Zaria Metropolis and Environs: A GIS Approach. Asian Journal of Environment & Ecology. 2017;2(4):1–8.
Jonkman SN, Kelman I. An analysis of the causes and circumstances of flood disaster deaths. Disasters. 2005;29(1):75–97.
NIMET. Seasonal Climate Prediction; 2020.
Udo EA, CO O, N BC, A GU. Flood Hazard Analysis and Damage Assessment of 2012 Flood in Anambra State Using GIS and Remote Sensing Approach. American Journal of Geographic Information System. 2015;4(1):38–51.