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Integrated Flood Risk Management Approach Using Mesh Grid Stability and Hydrodynamic Model

Author

Listed:
  • Azazkhan Pathan

    (Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395007, India)

  • Komali Kantamaneni

    (School of Engineering, University of Central Lancashire, Fylde Rd., Preston PR1 2HE, UK)

  • Prasit Agnihotri

    (Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395007, India)

  • Dhruvesh Patel

    (Department of Civil Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar 382426, India)

  • Saif Said

    (Department of Civil Engineering, Z. H. College of Engineering and Technology, Aligarh Muslim University, Aligarh 202002, India)

  • Sudhir Kumar Singh

    (K. Banerjee Centre of Atmospheric and Ocean Studies, University of Allahabad, Prayagraj 211002, India)

Abstract

Today, inhabitants residing in floodplains face a serious and perpetual threat of flooding. Flooding causes fatalities and considerable property damage in metropolitan areas. Therefore, robust structural measures need to be adopted to eliminate flood catastrophe. Structural measures in the floodplain are the most promising solutions. However, there are cost-associated factors for proposing a flood retention plan. Navsari city (98.36 km 2 , area extent) of Gujarat was used as a case study to investigate the impact of mesh grid structures (100 m, 90 m, and 50 m) along with structural measures for the preparation of a flood retention plan. The HEC-RAS 2D hydrodynamic model was performed for the Purna River. The output of the model was characterized by four different scenarios: (i) Without weir and levees (WOWL), (ii) With weir (WW), (iii) With levees (WL), and (iv) With weir and levees (WWL). The statistical parameters (R 2 , RMSE, NSE, inundation time, and inundation area) were determined to evaluate model accuracy. The outcome of the model revealed that a 50 m size mesh grid exhibited more accurate results, yielding high NSE and R 2 values (0.982 and 0.9855), a low RMSE value (0.450 m), and a smaller inundation area (114.61 km 2 ). The results further revealed that the WW scenario was the most effective flood retention measure as it delayed the flood water for up to 16 h, and managed the flood with the WOWL case. Moreover, the mean error (WW scenario) estimated from profiles 1 and 2 ranged from (−0.7 to 0.62) and from (−0.1 to 0.02 m), respectively, which were evaluated as very low when compared with other scenarios. The novel scenario-based flood retention plan emphasizing the stability of mesh grid structures using the hydrodynamic model can be applied to any other region around the globe to recommend efficacious structural flood measures for flood decision making systems.

Suggested Citation

  • Azazkhan Pathan & Komali Kantamaneni & Prasit Agnihotri & Dhruvesh Patel & Saif Said & Sudhir Kumar Singh, 2022. "Integrated Flood Risk Management Approach Using Mesh Grid Stability and Hydrodynamic Model," Sustainability, MDPI, vol. 14(24), pages 1-25, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16401-:d:996779
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    References listed on IDEAS

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    1. Dhruvesh Patel & Prashant Srivastava, 2013. "Flood Hazards Mitigation Analysis Using Remote Sensing and GIS: Correspondence with Town Planning Scheme," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2353-2368, May.
    2. Emrah Yalcin, 2020. "Assessing the impact of topography and land cover data resolutions on two-dimensional HEC-RAS hydrodynamic model simulations for urban flood hazard analysis," 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. 101(3), pages 995-1017, April.
    3. Komali Kantamaneni, 2016. "Coastal infrastructure vulnerability: an integrated assessment 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. 84(1), pages 139-154, October.
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