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An Improved Estimation Model for Dam Failure-Induced Loss of Life

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter presents an improved estimation model for predicting the loss of life resulting from dam failures. The study reviews and refines existing models, focusing on enhancing predictive capabilities for North American regions. Key topics include the classification of influencing factors, normalization and weight calculation using the entropy method, and multivariate regression analysis. The model categorizes dam failures into low, medium, and high-severity cases, using different equations for each. The results show that the proposed model performs better than Graham’s model, with a root mean square error (RMSE) of 6.7E-6 for low-severity cases and 5.9E-2 for medium- and high-severity cases. The study concludes that the model holds promise for improving accuracy in dam failure scenarios and can be a valuable tool for disaster preparedness and response.

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Title
An Improved Estimation Model for Dam Failure-Induced Loss of Life
Authors
Samuel Ovi
Mauricio Dziedzic
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-031-95107-7_11
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