Description Usage Arguments Value References Examples
Given a stream flow hydrograph of flows (regular time series), the baseflow is separated. The minima of a period (default block.len = 5)
is calculated and turning points are identified. At turning points the baseflow equals the actual flow, in between, linear interpolation is carried out.
1  baseflow(x, tp.factor = 0.9, block.len = 5)

x 
numeric vector containing flows 
tp.factor 
numeric vector of length one. Towards high flows, allow the
central value of three consecutive minima only to be of a factor

block.len 
numeric vector of length one. 
A numeric vector of length(x)
. It contains NA
s as until the
first turning point, the baseflow cannot be determined.
Tallaksen, L. M. and Van Lanen, H. A. J. 2004 Hydrological Drought: Processes and Estimation Methods for Streamflow and Groundwater. Developments in Water Science 48, Amsterdam: Elsevier.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  ## reproducing Tallaksen and van Lanen (2004)
## Example 5.3 Base Flow Index"
data(ray)
ray < as.xts(ray)
# calculate baseflow and plot it
ray$baseflow < baseflow(ray$discharge)
ray96 < ray[format(time(ray), "%Y") == "1996", ]
plot(ray96$discharge, type = "l")
lines(ray96$baseflow, col = 2)
# aggregated base flows for river Ray
# these are mean flow totals per day, not per year as written
# in Tallaksen and van Lanen (2004)
round(colSums(ray96[, c("discharge", "baseflow")]), 2)

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