Description Usage Arguments Details Value See Also Examples

Calculates pairs of alpha (level of development) and beta (ratio of storage and volume of annual flow) characteristics of the reservoir for given reliabilities.

1 2 3 4 5 | ```
alpha_beta(reser, alphas, max_beta, reliability, ...)
## S3 method for class 'wateres'
alpha_beta(reser, alphas = seq(0, 1, 0.02), max_beta = 2,
reliability = "max", ...)
``` |

`reser` |
A |

`alphas` |
A vector of alpha values, i.e. coefficients by which mean annual flow will be multiplied. Usually the interval between 0 and 1 is used. |

`max_beta` |
A maximum value of calculated beta to be considered, greater values will be ignored. |

`reliability` |
A vector of reliability values passed to the |

`...` |
Further arguments passed to the |

An error occurs if the range given by `upper_limit`

does not contain the given value of reliability. In that case, try to increase
the `upper_limit`

argument.

A `wateres_alpha_beta`

object which is a data.table consisting of:

`alpha` |
level of development, given as the |

`beta` |
ratio of storage representing the given reliability and volume of mean annual flow |

`reliability` |
given reliability values (may differ from reliabilities calculated by |

`plot.wateres_alpha_beta`

for plotting the results, `sry.wateres`

for calculation of a reservoir storage for the
given yield and reliability

1 2 3 4 5 6 | ```
reser = data.frame(
Q = c(0.078, 0.065, 0.168, 0.711, 0.154, 0.107, 0.068, 0.057, 0.07, 0.485, 0.252, 0.236,
0.498, 0.248, 0.547, 0.197, 0.283, 0.191, 0.104, 0.067, 0.046, 0.161, 0.16, 0.094),
DTM = seq(as.Date("2000-01-01"), by = "months", length.out = 24))
reser = as.wateres(reser, storage = 14.4e6, area = 754e3)
alpha_beta = alpha_beta(reser)
``` |

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