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Introduction to Risk and Uncertainty in Hydrosystem Engineering [electronic resource] / by Ehsan Goodarzi, Mina Ziaei, Lee Teang Shui.

By: Contributor(s): Material type: TextTextSeries: Topics in Safety, Risk, Reliability and Quality ; 22Publisher: Dordrecht : Springer Netherlands : Imprint: Springer, 2013Description: XIII, 157 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789400758513
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 624.15 23
LOC classification:
  • TA703-705.4
  • TA775-787
  • TC1-1800
Online resources:
Contents:
Preface.- Basic Concepts.- Probability Theories.- Risk and Uncertainty Analysis.- Monte Carlo Simulation.- Evaluation of Dam Overtopping Risk Based on Univariate Flood Frequency Analyses.-Evaluation of Dam Overtopping Risk Based on Univariate and Bivariate Flood Frequency Analyses -- References -- Appendix A -- Appendix B -- Appendix C -- Index.
In: Springer eBooksSummary: Water engineers require knowledge of stochastic, frequency concepts, uncertainty analysis, risk assessment, and the processes that predict unexpected events. This book presents the basics of stochastic, risk and uncertainty analysis, and random sampling techniques in conjunction with straightforward examples which are solved step by step. In addition, appropriate Excel functions are included as an alternative to solve the examples, and two real case studies is presented in the last chapters of book.
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Preface.- Basic Concepts.- Probability Theories.- Risk and Uncertainty Analysis.- Monte Carlo Simulation.- Evaluation of Dam Overtopping Risk Based on Univariate Flood Frequency Analyses.-Evaluation of Dam Overtopping Risk Based on Univariate and Bivariate Flood Frequency Analyses -- References -- Appendix A -- Appendix B -- Appendix C -- Index.

Water engineers require knowledge of stochastic, frequency concepts, uncertainty analysis, risk assessment, and the processes that predict unexpected events. This book presents the basics of stochastic, risk and uncertainty analysis, and random sampling techniques in conjunction with straightforward examples which are solved step by step. In addition, appropriate Excel functions are included as an alternative to solve the examples, and two real case studies is presented in the last chapters of book.

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