AAEA {IETD}

Average annual number of events analysis

Description

This function provides the required figure to define the inter-event time definition (IETD) based on the average annual number of events analysis.

Usage

AAEA(Time_series,MaxIETD,xlabel,ylabel)

Arguments

Time_series

A dataframe. The first column contains the time and day of a rainfall pulse and the second one the depth of rainfall in each time step. The date must be as POSIXct class.

MaxIETD

The maximum value of IETD to be analyzed (in hours). Default value 24.

xlabel

Label of the x-axis.

ylabel

Label of the y-axis.

Details

This analysis is based on the computation of the average annual number of events (AAE) for several IETD values, the appropriate value of IETD is determined as the point where increasing IETD does not change AAE significantly (Joo et al. 2014; Adams and Papa 2000). The analyst, thus, uses the plot of IETD vs AAE to define that value.

Value

A list with the figure of IETD (in hours) vs AAE and a dataframe with its values.

Note

To review the concept of IETD, go to the details of drawre function.

Author(s)

Luis F. Duque <[e-mail]> <[e-mail]>

References

Adams BJ, Papa F (2000). Urban Storm water Management Planning with Analytical Probabilistic Models. John Wiley and Sons, New York, NY. ISBN 0-471-35641-7.

Joo J, Lee J, Kim JH, Jun H, Jo D (2014). “Inter-event time definition setting procedure for urban drainage systems.” Water (Switzerland). ISSN 20734441, doi: 10.3390/w6010045.

Examples

AAEA(Time_series=hourly_time_series)