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Flood Susceptibility Assessment in Arid Areas: A Case Study of Qatar

Author

Listed:
  • Mohammad Zaher Serdar

    (Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha P.O. Box 34110, Qatar)

  • Salah Basem Ajjur

    (Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha P.O. Box 34110, Qatar)

  • Sami G. Al-Ghamdi

    (Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha P.O. Box 34110, Qatar)

Abstract

Over the past decade, the adverse impacts of climate change and excessive urbanization have contributed to several unfamiliar and costly floods in the Gulf Cooperation Council (GCC), especially in Qatar. With limited historical rainfall records and unprecedented precipitation intensities impacting the efficiency of hydrological models, the multi-criteria decision analysis (MCDA) presents a suitable alternative approach to assess and identify flood-susceptible areas. In this study, we applied MCDA to several factors that contribute to flood susceptibility, namely: elevation, slope, groundwater depth, distance to a drainage system, and land use. These criteria were assigned different weights based on their contribution and previous literature and later underwent a sensitivity analysis. The study’s results correlate well with recent flooding events, proving the method’s efficiency in identifying hotspots. This study is expected to provide a rapid tool to support the decision-making process for future urban expansion, sustainable development, and resilience planning in Qatar.

Suggested Citation

  • Mohammad Zaher Serdar & Salah Basem Ajjur & Sami G. Al-Ghamdi, 2022. "Flood Susceptibility Assessment in Arid Areas: A Case Study of Qatar," Sustainability, MDPI, vol. 14(15), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9792-:d:883293
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    References listed on IDEAS

    as
    1. Wenchao Qi & Chao Ma & Hongshi Xu & Zifan Chen & Kai Zhao & Hao Han, 2021. "A review on applications of urban flood models in flood mitigation strategies," 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. 108(1), pages 31-62, August.
    2. G. Papaioannou & L. Vasiliades & A. Loukas, 2015. "Multi-Criteria Analysis Framework for Potential Flood Prone Areas Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 399-418, January.
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    4. Abdullah Al Mamoon & Ataur Rahman, 2017. "Rainfall in Qatar: Is it changing?," 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. 85(1), pages 453-470, January.
    5. Mohammad Zaher Serdar & Sami G. Al-Ghamdi, 2021. "Resiliency Assessment of Road Networks during Mega Sport Events: The Case of FIFA World Cup Qatar 2022," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    6. Ayub Mohammadi & Khalil Valizadeh Kamran & Sadra Karimzadeh & Himan Shahabi & Nadhir Al-Ansari, 2020. "Flood Detection and Susceptibility Mapping Using Sentinel-1 Time Series, Alternating Decision Trees, and Bag-ADTree Models," Complexity, Hindawi, vol. 2020, pages 1-21, November.
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