Using Structural Measures to Reduce Flood Losses in a Future Extreme Weather Event

  • Author(s): Hsiao-Ping Wei, Hsin-Chi Li, Keh-Chia Yeh, Jun-Jih Liou, Yung-Ming Chen, and Hsuan-Ju Lin
  • DOI:

    10.3319/TAO.2016.07.14.02

  • Keywords: Climate change, Flood control measures, Flood disaster, SOBEK, TLAS
  • Citation: Wei, H. P., H. C. Li, K. C. Yeh, J. J. Liou, Y. M. Chen, and H. J. Lin, 2016: Using structural measures to reduce flood losses in a future extreme weather event. Terr. Atmos. Ocean. Sci., 27, 757-767, doi: 10.3319/TAO.2016.07.14.02
  • The high-resolution atmospheric data used in this study
  • SOBEK and TLAS are used to see if control measures can mitigate the impact (loss) of extreme events
  • The adaptation works have significant positive effects
Abstract

Climate change is a real threat that brings heavier and more frequent extreme weather events. Many researchers have found that climate change will increase the risk of flooding around the world. The SOBEK inundation model and Taiwan Typhoon Loss Assessment System (TLAS) are used in this study to see if embankment and flood storage control measures can mitigate the impact (loss) of extreme events under climate change. Based on the simulation results, three inundation cases are simulated starting about 18 hr after the embankment is breached. When embankment and detention pond measures are not in place (Case A), the average flood depth in the catchment area caused by the TOP event is roughly 1.45 m. When adaptation measures such as [Case B raising embankments (Case B) and] are in place, the flood depth decreased by 39 and 33%, respectively. TLAS was used to evaluate the potential losses associated with the three cases (Case A, B, and C). When we add flood-control measures, the total loss reduced by adaptation measures for future extreme events in the Zhengwen River basin was NT$7 billion. This study provides applicable coping strategies for future extreme precipitation events that will effectively reduce the impact of extreme storm events.

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