4.7 Article

An integrated flood risk assessment approach based on coupled hydrological-hydraulic modeling and bottom-up hazard vulnerability analysis

期刊

ENVIRONMENTAL MODELLING & SOFTWARE
卷 148, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2021.105279

关键词

Bottom-up hazard vulnerability; Coupled hydrological-hydraulic model; Flood frequency analysis; Flood risk assessment; Old Brahmaputra River floodplain

资金

  1. National Natural Science Founda-tion of China [51879067]
  2. Natural Science Foundation of Jiangsu Province [BK20180022]
  3. Fundamental Research Funds for the Central Universities in China [B200204038]
  4. Hydraulic Science and Technology Plan Foundation of Shaanxi Province [2019slkj-B1]
  5. Hydraulic Science and Technology Plan Foundation of Jiangsu Province [2018055]
  6. Six Talent Peaks Project in Jiangsu Province [NY-004]

向作者/读者索取更多资源

Accurately assessing flood risks is crucial for mitigating and preventing flooding. This study introduces a new integrated flood risk assessment framework and demonstrates its feasibility and accuracy through a case study. The results show that this framework and its findings are valuable for developing adaptation strategies and early-warning systems.
Accurately quantifying and assessing the flood risks is critical for flood hazard mitigation and prevention. This study proposed a new integrated flood risk assessment framework to map flood risk, hazard and vulnerability by coupling the HEC-HMS hydrological model, the HEC-RAS 1D and 2D hydraulic models, and a bottom-up hazard vulnerability analysis. The Old Brahmaputra River floodplain of Bangladesh, a flood-prone region, was chosen as a case study. The coupled hydrological-hydraulic model shows a comparable robust performance in both calibration and validation periods with Nash-Sutcliffe efficiency coefficient = 0.93 (0.81), coefficient of determination = 0.95 (0.89), and percent bias = -1.17% (2.40%) for the calibration (validation) period. Our results indicate that the assessed risk levels are roughly consistent with the overall property distribution and flood hazard potential in the study area. The proposed framework and associated findings are valuable for developing adaptation strategies and early-warning systems to reduce flood impacts in the future.

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