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Flood hazard assessment and mapping of River Swat using HEC-RAS 2D model and high-resolution 12-m TanDEM-X DEM (WorldDEM)

Author

Listed:
  • Muhammad Farooq

    (University of Peshawar
    Pakistan Space and Upper Atmosphere Research Commission (SUPARCO))

  • Muhammad Shafique

    (University of Peshawar)

  • Muhammad Shahzad Khattak

    (University of Engineering and Technology)

Abstract

Floods are among the most devastating and recurring natural hazards and have caused extensive economic losses to human lives and infrastructures around the world. Swat valley in northern Pakistan is prone to frequent floods and was severely affected by the Flood2010 in the recent past. Flood hazard assessment is a non-structural strategy for flood mitigation in addition to the structure measure. In this study, 60 km long reach of the River Swat (Khwazakhela Bridge–Chakdara Bridge) was modeled using the HEC-RAS 2D model and high-resolution 12-m WorldDEM. The model was calibrated and validated for only historical maximum flood event, i.e., Flood2010 using Manning’s ‘n’ values, flood stage at the Chakdara Bridge and satellite imagery-based Flood2010-observed extent. In addition, flood model sensitivity to the DEM was carried out and simulated maximum depth was 12, 13, 14, and 25 m for the 12-m WorldDEM, 30-m SRTM, 30-m ALOS and 30-m ASTER DEMs, respectively. Designed hydrographs were prepared for 2, 5, 10, 25, 50, and 100-year return periods based on the Flood2010-observed hydrograph. Finally, the model was simulated for 2, 5, 10, 25, 50, and 100-year return periods with full momentum equation as the calculation method. Simulated extents based on the 12-m WorldDEM were used for the preparation of flood hazard maps. Landcover exposure to the designed flood events shows that agriculture including orchards is the major potential affected class with affected areas up to 55 Km2. The developed flood hazard maps will enable the policy makers to mainstream flood hazard assessment in the planning and development process for mitigating flood hazard in Swat Valley.

Suggested Citation

  • Muhammad Farooq & Muhammad Shafique & Muhammad Shahzad Khattak, 2019. "Flood hazard assessment and mapping of River Swat using HEC-RAS 2D model and high-resolution 12-m TanDEM-X DEM (WorldDEM)," 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. 97(2), pages 477-492, June.
  • Handle: RePEc:spr:nathaz:v:97:y:2019:i:2:d:10.1007_s11069-019-03638-9
    DOI: 10.1007/s11069-019-03638-9
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    4. Muhammad Saeed & Huan Li & Sami Ullah & Atta-ur Rahman & Amjad Ali & Rehan Khan & Waqas Hassan & Iqra Munir & Shuaib Alam, 2021. "Flood Hazard Zonation Using an Artificial Neural Network Model: A Case Study of Kabul River Basin, Pakistan," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    5. Shubham M. Jibhakate & P. V. Timbadiya & P. L. Patel, 2023. "Flood hazard assessment for the coastal urban floodplain using 1D/2D coupled hydrodynamic model," 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. 116(2), pages 1557-1590, March.
    6. Vishal Singh & Anil Kumar Lohani & Sanjay Kumar Jain, 2022. "Reconstruction of extreme flood events by performing integrated real-time and probabilistic flood modeling in the Periyar river basin, Southern 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. 112(3), pages 2433-2463, July.

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