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Urban flood event and associated damage in the Benue valley, Nigeria

Author

Listed:
  • T. E. Ologunorisa

    (Federal University of Technology)

  • O. Obioma

    (Federal University of Technology)

  • A. O. Eludoyin

    (Obafemi Awolowo University)

Abstract

Flooding events in the Lower Benue valley of Nigeria are often associated with huge damage to properties and loss of life in the adjoining communities. Specific objectives of this study were to (i) examine the characteristics of rainfall and discharge at the major river in the study area—Benue trough of Nigeria; (ii) assess the occurrence of extreme rainfall conditions and other flood-triggering/exacerbating factors; and (iii) determine flood damage extent and available warning system in the area. Specific reference was made to the 2017 flood event in the area. Method used was an integrated environmental approach that combines analysis of rainfall and discharge data with social surveys, remote sensing and geographical information system. Standardized Precipitation Index (SPI), Precipitation Concentration Index (PCI) as well as flood damage curves were analysed with land use/cover change and soil data to establish the nature of the flood and its impacts. Result showed that rainfall has increased in the study area in October–December and February (b ≤ 0.13) but has decreased in the other months, albeit insignificantly (R2

Suggested Citation

  • T. E. Ologunorisa & O. Obioma & A. O. Eludoyin, 2022. "Urban flood event and associated damage in the Benue valley, Nigeria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 261-282, March.
  • Handle: RePEc:spr:nathaz:v:111:y:2022:i:1:d:10.1007_s11069-021-05052-6
    DOI: 10.1007/s11069-021-05052-6
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    References listed on IDEAS

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    4. Knighton, James & Buchanan, Brian & Guzman, Christian & Elliott, Rebecca & White, Eric & Rahm, Brian, 2020. "Predicting flood insurance claims with hydrologic and socioeconomic demographics via machine learning: exploring the roles of topography, minority populations, and political dissimilarity," LSE Research Online Documents on Economics 105761, London School of Economics and Political Science, LSE Library.
    5. Ibidun Adelekan, 2011. "Vulnerability assessment of an urban flood in Nigeria: Abeokuta flood 2007," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 56(1), pages 215-231, January.
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    Cited by:

    1. Jeni Paressa, 2023. "Assessing the Performance of Urban Drainage Networks in Settlements as an Impact of Urbanization," Technium, Technium Science, vol. 17(1), pages 52-59.

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