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.