discharge (version 1.0.0)

sigmaLowFlows: Estimate catastrophic flow variability

Description

Calculates catastrophic variability for low flow events. Negative residuals from the seasonal signal are used to calculate \(\sigma.lf\) , the standard deviation of low-flow events.

Usage

sigmaLowFlows(x, resid.column)

Arguments

x

An object of class data.frame or streamflow. If a data.frame is used, one column should contain residuals.

resid.column

Optional numeric specifiying which column contains residuals. Required if x is a data frame.

Value

An object of class list with items

n.droughts

Number of independent events with negative residuals.

sigma.lfa

Estimated sigma using the y-intercept.

sigma.lfb

Estimated sigma using the slope (\(\sigma.lf\)).

drought.line

Matrix containing fitted, observed, and residual values from regression of log counts on bin midpoints.

onesigma.events

matrix containing information for all events below \(\sigma.lf\) (as calculated using the slope). Columns will contain the same data as the output from the independentEvents function.

twosigma.events

matrix containing information for all events below \(2\sigma.lf\). Columns will contain the same data as the output from the independentEvents function.

See Also

independentEvents sigmaHighFlows

Examples

# NOT RUN {
# load data
data(sycamore)

# get streamflow object
sf = asStreamflow(sycamore)

# estimate catastrophic low flow variability
sigmaLowFlows(sf)
# }