BaseflowSeparation: Baseflow Separation

Description

This function reads a streamflow dataset and produces a baseflow dataset. It can be run using 1, 2 or 3 passes

Usage

BaseflowSeparation(streamflow, filter_parameter = 0.925, passes = 3)

Arguments

streamflow

A vector containing streamflow values

filter_parameter

The value recommended by Nathan and McMahon (1990) is 0.925, however, the user might want to play with this value (0.9-0.95)

passes

The number of times you want the filter to pass over your data. 1-3

Value

This will return a 2 column data frame with nrow = length of input streamflow data. The first column contains baseflow, while the second contains quickflow, both in the same units as the input.

References

Lyne, V. D. and M. Hollick (1979). Stochastic time-variable rainfall-runoff modelling. Hydrology and Water Resources Symposium, Perth, Institution of Engineers, Australia.

Nathan, R. J. and T. A. McMahon (1990). "Evaluation of automated techniques for base flow and recession analysis." Water Resources Research 26(7): 1465-1473.

Examples

Run this code

# NOT RUN {
#########	Look at a dataset for Owasco Lake in NY:
data(OwascoInlet)
summary(OwascoInlet)

##	Get an approximation for baseflow using a 3 pass filter:
bfs<-BaseflowSeparation(OwascoInlet$Streamflow_m3s, passes=3)

##	You can check out how this looks with the hydrograph function:
hydrograph(input=OwascoInlet,streamflow2=bfs[,1])
# }