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Probability theory applied to reservoir storage

  • N. T. Kottegoda

Abstract

Stochastic models applicable to hydrologic time series and extreme events are investigated in earlier chapters. Such models are important for the simulation of complex water resource systems and for flood estimation purposes. However, in the design of individual reservoirs where one of the main criteria is the probability of failure, a more direct approach can be adopted if the inflow data are independent or have a Markov type of dependence. The choice between alternatives is usually made so that this probability does not exceed a stipulated value, which depends on the purposes served. Also important is the average number of times a reservoir will spill or empty during a given period. Another interesting outcome is the probability of first time emptiness.

Keywords

Markov Chain Reservoir Storage Steady State Probability Unconditional Probability Multipurpose Reservoir 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© N. T. Kottegoda 1980

Authors and Affiliations

  • N. T. Kottegoda
    • 1
  1. 1.Department of Civil EngineeringUniversity of BirminghamUK

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