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The United States Environmental Protection Agency's stormwater management model (SWMM) was used for developing contours to help determine the size of the device, with respect to the maximum inflow to the device (or bypass rate), and the catchment area served by the device.
The number of partitions and the bypass rate of the partitions are presented in Table 3.
ED bypass occurred more frequently during working hours compared with off-hours (18.3% versus 4.3%); ED bypass rate varied significantly across hospitals (median, 3.3%; range, 0%-71%).
Especially for cir1 and cir3 we get a partition bypass rate around 30% (see Table 3) and thus additional overall sequential speedup of 20% in the elapsed time.
Table 3 summarizes the partition bypass rate which depends not just on the size of the circuit or number of partitions, but mostly on the scenario that is simulated.
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The approach we propose here can be useful to determine the sizes, as well as to clarify the efficiencies, of different installation configurations of underground stormwater treatment device (e.g. a hydrodynamic separator) in relation to their bypass rates and site specific conditions, such as rainfall characteristics and the catchment area to be served.
Given these limitations, we found no difference in community hospital bypass rates after implementation of the STDP.
A circuit start-up scenario usually results in single digit partition bypass rates, since the supply voltage ramp up usually affects the whole circuit and results in activity in all partitions.
Given these limitations, we found similar community hospital bypass rates before and after STDP implementation (64%, n = 332 of 520 vs. 63%, n = 345 of 552; P =.65).Missing symptom duration time and data records in our state's EMS data system, along with conflicting hospital classifications between EMS agencies limit the ability to study statewide stroke routing protocols.
These comprised consecutively triggering patients from: (i) immediate go-live, Phase 2; (ii) 12 weeks post-go-live, Phase 2; and (iii) immediate go-live, Phase 3. Alert bypass rates were compared across patient cohorts using 'R' with a two-sample test for equality of proportions and a significance level of 5%.
EOF amplitude and shoreline response are weakly correlated to bypassed volumes when the system bypassed smaller volumes (average of 56% of design rate) of sand suggesting that there is a minimum bypassing rate, regardless of yearly variability, below which the effect on the downdrift beach is obscured.
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