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Development of probabilistic inundation mapping for dam failure induced floods

  • Christina W. TsaiEmail author
  • Jing-Jie Yeh
  • Chi-Hao Huang
Original Paper
  • 128 Downloads

Abstract

A primary function of flood inundation mapping is to forecast flood hazards and assess potential losses. However, uncertainties limit the reliability of inundation hazard assessments. Major sources of uncertainty should be taken into consideration by an optimal flood management strategy. This study focuses on the 20 km reach downstream of the Shihmen Reservoir in Taiwan. In the modified dam failure model proposed in this study, the surface area of the water in the reservoir and water elevation are allowed to vary with the volume of the reservoir. A dam failure induced flood herein provides the upstream boundary conditions of flood routing. The two major sources of uncertainty that are considered in the hydraulic model and the flood inundation mapping herein are uncertainties in the dam break model and uncertainty of the roughness coefficient. The perturbance moments method is applied to a dam break model and the hydrosystem model to develop probabilistic flood inundation mapping. Uncertain variables such as roughness coefficient, breach width and reservoir surface area can be considered in these models and the variability of outputs can be quantified. The probabilistic flood inundation mapping for dam break induced floods can be developed with consideration of the variability of output using a hydraulic model. Two different probabilistic flood inundation mappings are discussed and compared. Probabilistic flood inundation mappings are hoped to provide improved insights in support of the evaluation of concerning reservoir flooded areas.

Keywords

Uncertainty analysis Perturbance moments method Probabilistic inundation mapping Dam break Point estimate method Flood routing 

Notes

Acknowledgements

This research is supported by Taiwan Ministry of Science and Technology (MOST) under Grant Contract Number 104-2628-E-002-011-MY3. The authors also appreciate Mr. David D. Kao at National Taiwan University for his kind assistance with the preparation of the revised manuscript, and Mr. Shih-Hsun Huang, and Mr. You-Ren Hsiao at National Taiwan University for their assistance with figures and tables. The data used are listed in the references and tables.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Civil EngineeringNational Taiwan UniversityTaipeiTaiwan

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