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Integration of multi-parametric fuzzy analytic hierarchy process and GIS along the UNESCO World Heritage: a flood hazard index, Mombasa County, Kenya

Author

Listed:
  • Yves Hategekimana

    (Chinese Academy of Science
    University of Chinese Academy of Sciences)

  • Lijun Yu

    (Chinese Academy of Science
    University of Chinese Academy of Sciences)

  • Yueping Nie

    (Chinese Academy of Science)

  • Jianfeng Zhu

    (Chinese Academy of Science
    University of Chinese Academy of Sciences)

  • Fang Liu

    (Chinese Academy of Science
    University of Chinese Academy of Sciences)

  • Fei Guo

    (Chinese Academy of Science
    University of Chinese Academy of Sciences)

Abstract

Flood is a natural hazard affecting human life and ecosystem globally causing catastrophic disasters. Most flood-induced socioeconomic losses are exacerbated by unabated urban development, population upsurge, unregulated municipal systems, and indiscriminate land use. Therefore, implementation of a flood prediction system can potentially help mitigate flood-induced consequences. In this study, a framework of multi-criteria analysis incorporating geographic information system, fuzzy analytic hierarchy process, and bivariate statistics-based methods was developed for flood hazard index determination. Flood-prone areas were identified based on six factors (hydrological aspects and land cover): elevation, aspect, slope, flow accumulation, rainfall, and land cover map. To generate a flood hazard index, each one of the factors was classified into five categories: very low, low, moderate, high, and very high; the factors were then combined and processed using the proposed methodology. Obtained overall maps have been adjusted with socioeconomic data such as gross domestic product to relate the flood exposure to economic and demographic factors in Mombasa County, Kenya. Results suggest that the County is largely dominated by areas with a high flood hazard index due to its location and shoreline. Fort Jesus, the UNESCO World Heritage site, is currently under high risk of flood as shown by the flood hazard index, while most of the shoreline is at very high risk of flooding.

Suggested Citation

  • Yves Hategekimana & Lijun Yu & Yueping Nie & Jianfeng Zhu & Fang Liu & Fei Guo, 2018. "Integration of multi-parametric fuzzy analytic hierarchy process and GIS along the UNESCO World Heritage: a flood hazard index, Mombasa County, Kenya," 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. 92(2), pages 1137-1153, June.
    • Handle: RePEc:spr:nathaz:v:92:y:2018:i:2:d:10.1007_s11069-018-3244-9
    DOI: 10.1007/s11069-018-3244-9
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    References listed on IDEAS

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    1. Manik Mahapatra & Ratheesh Ramakrishnan & A. Rajawat, 2015. "Coastal vulnerability assessment using analytical hierarchical process for South Gujarat coast, India," 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. 76(1), pages 139-159, March.
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    Cited by:

    1. Mingshen Shao & Dong Xu & Yuchao Wang & Ziyi Wang & Xingzhou Liang & Li Li, 2022. "Quantitative evaluation of weathering degree through Fuzzy-AHP method and petrophysics analysis for sandstone carvings," 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. 112(2), pages 1547-1566, June.
    2. Dibyandu Roy & Anirban Dhar & Venkappayya R. Desai, 2024. "A grey fuzzy analytic hierarchy process-based flash flood vulnerability assessment in an ungauged Himalayan watershed," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18181-18206, July.
    3. Yves Hategekimana & Mona Allam & Qingyan Meng & Yueping Nie & Elhag Mohamed, 2020. "Quantification of Soil Losses along the Coastal Protected Areas in Kenya," Land, MDPI, vol. 9(5), pages 1-16, May.
    4. Juri Kim & Tae-Hyoung Tommy Gim, 2020. "Assessment of social vulnerability to floods on Java, Indonesia," 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. 102(1), pages 101-114, May.
    5. Rofiat Bunmi Mudashiru & Nuridah Sabtu & Rozi Abdullah & Azlan Saleh & Ismail Abustan, 2022. "A comparison of three multi-criteria decision-making models in mapping flood hazard areas of Northeast Penang, Malaysia," 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. 112(3), pages 1903-1939, July.

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