A specific analysis was carried out to analyze the number and average magnitude of the events that are characterized by *E*_{PR} = 0 and *E*_{PR} = 1. Table 2 summarizes results of this analysis for the demand scenario *d =*1, as an example. The number of events *N* for which *E*_{PR} = 0 is observed to decrease monotonically from 57 (80% from 71 in total) to 22 (31%) as the storage fraction *s* increases from 1 to 10 (i.e., as the tank size increases). For the same reason, the number of events with *E*_{PR} = 1 increases from 5 (7%) to 44 (62%). These results are consistent with those obtained by Gerolin *et al.* (2010) for a rainfall series with characteristics very different from those used in this paper. In particular, according to the authors, the top 30 events of the rainfall series of Greenwich, UK showed the tank (estimated *s =*26 and *d =*1.3) to provide *E*_{PR} = 0 and *E*_{PR} = 1 for 44% and 6% of the events, respectively.

Table 2

. | s =1
. |
. | s =3
. |
. | s =10
. |
. |
---|---|---|---|---|---|---|

. | N (-)
. | h (mm/h)
. _{av} | N (-)
. | h (mm/h)
. _{av} | N (-)
. | h (mm/h)
. _{av} |

E_{PR} = 0 | 57 | 23.1 | 45 | 23.3 | 22 | 30.5 |

E_{PR} = 1 | 5 | 14.4 | 16 | 18.7 | 44 | 22.9 |

. | s =1
. |
. | s =3
. |
. | s =10
. |
. |
---|---|---|---|---|---|---|

. | N (-)
. | h (mm/h)
. _{av} | N (-)
. | h (mm/h)
. _{av} | N (-)
. | h (mm/h)
. _{av} |

E_{PR} = 0 | 57 | 23.1 | 45 | 23.3 | 22 | 30.5 |

E_{PR} = 1 | 5 | 14.4 | 16 | 18.7 | 44 | 22.9 |

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