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Assessing Watershed Flood Resilience Based on a Grid-Scale System Performance Curve That Considers Double Thresholds

Author

Listed:
  • Xin Su

    (The National Key Laboratory of Inundation Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

  • Leizhi Wang

    (The National Key Laboratory of Inundation Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

  • Lingjie Li

    (The National Key Laboratory of Inundation Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China
    Yangtze Institute for Conservation and Development, Nanjing 210098, China)

  • Xiting Li

    (Institute of Water Science and Technology, Hohai University, Nanjing 211164, China)

  • Yintang Wang

    (The National Key Laboratory of Inundation Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China
    Yangtze Institute for Conservation and Development, Nanjing 210098, China)

  • Yong Liu

    (The National Key Laboratory of Inundation Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

  • Qingfang Hu

    (The National Key Laboratory of Inundation Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

Abstract

Enhancing flood resilience has become crucial for watershed flood prevention. However, current methods for quantifying resilience often exhibit coarse spatiotemporal granularity, leading to insufficient precision in watershed resilience assessments and hindering the accurate implementation of resilience enhancement measures. This study proposes a watershed flood resilience assessment method based on a system performance curve that considers thresholds of inundation depth and duration. A nested one- and two-dimensional coupled hydrodynamic model, spanning two spatial scales, was utilized to simulate flood processes in plain river network areas with detailed and complex hydraulic connections. The proposed framework was applied to the Hangjiahu area (Taihu Basin, China). The results indicated that the overall trend of resilience curves across different underlying surfaces initially decreased and then increase, with a significant decline observed within 20–50 h. The resilience of paddy fields and forests was the highest, while that of drylands and grasslands was the lowest, but the former had less recovery ability than the latter. The resilience of urban systems sharply declined within the first 40 h and showed no signs of recovery, with the curve remaining at a low level. In some regions, the flood tolerance depth and duration for all land use types exceeded the upper threshold. The resilience of the western part of the Hangjiahu area was higher than that of other regions, whereas the resilience of the southern region was lower compared to the northern region. The terrain and tolerance thresholds of inundation depth were the main factors affecting watershed flood resilience. The findings of this study provide a basis for a deeper understanding of the spatiotemporal evolution patterns of flood resilience and for precisely guiding the implementation and management of flood resilience enhancement projects in the watershed.

Suggested Citation

  • Xin Su & Leizhi Wang & Lingjie Li & Xiting Li & Yintang Wang & Yong Liu & Qingfang Hu, 2024. "Assessing Watershed Flood Resilience Based on a Grid-Scale System Performance Curve That Considers Double Thresholds," Sustainability, MDPI, vol. 16(20), pages 1-23, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:9101-:d:1503003
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    References listed on IDEAS

    as
    1. Heather J. Murdock & Karin M. De Bruijn & Berry Gersonius, 2018. "Assessment of Critical Infrastructure Resilience to Flooding Using a Response Curve Approach," Sustainability, MDPI, vol. 10(10), pages 1-22, September.
    2. Jun Rentschler & Paolo Avner & Mattia Marconcini & Rui Su & Emanuele Strano & Michalis Vousdoukas & Stéphane Hallegatte, 2023. "Global evidence of rapid urban growth in flood zones since 1985," Nature, Nature, vol. 622(7981), pages 87-92, October.
    3. Chaochao Li & Xiaotao Cheng & Na Li & Xiaohe Du & Qian Yu & Guangyuan Kan, 2016. "A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas," IJERPH, MDPI, vol. 13(8), pages 1-18, August.
    4. Kerri McClymont & David Morrison & Lindsay Beevers & Esther Carmen, 2020. "Flood resilience: a systematic review," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 63(7), pages 1151-1176, June.
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