The phrase "average recurrence interval" is correct and usable in written English.
It is typically used in the context of statistics, hydrology, or risk assessment to describe the average time period between events, such as floods or earthquakes, of a certain magnitude.
Example: "The average recurrence interval for a 100-year flood is estimated to be once every 100 years, but this does not guarantee that such an event will not occur more frequently."
Alternatives: "mean return period" or "expected recurrence time".
Numerous studies have shown that the average recurrence interval of the bank-full stage is 1.5 years, though this value might vary from river to river.
Results are given in terms of annual economic risks and damage losses based on occurrence of an average recurrence interval.
Results are given in terms of annual and annualised economic risks and the damage loss conditional on occurrence of an Average Recurrence Interval event.
This arbitrary treatment of key inputs and parameters can lead to inconsistencies and significant bias in flood estimates for a given average recurrence interval.
In addition, it was found that a significant reduction in storm water run-off discharge can be achieved as a result of the rainwater tank up to about one year average recurrence interval rainfall event.
Radiocarbon ages from basin sediment cores indicate that larger, canyon-flushing turbidity currents reaching the Iberian Abyssal Plain have a significantly longer average recurrence interval than turbidity currents that fill the canyon.
The Probabilistic Tsunami Hazard Analysis of Australia (PTHA)33 provides the numerical relationship between maximum wave amplitude of a tsunami wave train with Average Recurrence Intervals (ARI) for locations across Australia and in this case for Sydney Harbour.
Dall'Osso et al.28 used static tides and tsunami scenarios with Average Recurrence Intervals (ARI) of 100, 1,000 and 10,000 years to investigate maximum inundation extents and maximum flow velocities.
The QRT develops prediction equations for flooding quantiles in average recurrence intervals (ARIs) of 2, 5, 10, 20, and 100 years whereas the PRT provides prediction of three parameters for the selected distribution.
For a given watershed, a four-level debris flow hazard map is developed by comparing the rainfall threshold to the design rainfall intensities with 50-, 20-, and 5-year average recurrence intervals, respectively.
Given the difference in the estimated average recurrence intervals, they concluded that the Neodani and Umehara faults are each a single behavioral segment.
