IHA: Indicators of Hydrologic Alteration

Description Usage Arguments Details Value Notes References Examples

Description

Compute the Indicators of Hydrologic Alteration for a daily time series.

Usage

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IHA(ts, yearstart = "01-01", yearend = "12-31", groups = 1:5, ut, lt,
  parametric = TRUE)

Arguments

ts

A time series of class xts.

yearstart

A character vector specifying the month and day signifying the start of the water year, in the format "mm-dd". Default is "01-01".

yearend

A character vector specifying the month and day signifying the end of the water year, in the format "mm-dd". Default is "12-31".

groups

The parameter groups to compute. Computes all groups (1-5) by default.

ut

The upper flow threshold for identifying high flow pulses. IHA recommends the 75th flow percentile for pre-impact conditions.

lt

The lower flow threshold for identifying low flow pulses. IHA recommends the 25th flow percentile for pre-impact conditions.

parametric

Logical: perform parametric (mean) or non-parametric (median) analysis.

Details

The IHA method requires a regular time series with no missing values.

Value

An IHA object containing the the parameter names, the value of the attribute and the year of record (YoR) for which the attribute was computed. Use summary() to report the central tendencies and measures of dispersion for each parameter and confint() to compute parametric or non-parametric confidence intervals for the summary statistics.

Notes

References

Richter, B. D., Baumgartner, J. V., Powell, J. and Braun, D. P. (1996), A Method for Assessing Hydrologic Alteration within Ecosystems. Conservation Biology, 10: 1163-1174. doi: 10.1046/j.1523-1739.1996.10041163.x

Examples

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data(siouxcity)
IHA(siouxcity['2009/2011'], ut = 32000, lt = 12000)
IHA(siouxcity['2009-10-01/2011-09-30'], yearstart = "10-01", 
  yearend = "09-30", ut = 32000, lt = 12000, parametric = FALSE)

mkoohafkan/flowregime documentation built on May 23, 2019, 2:02 a.m.