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)
|
Loading required package: xts
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
Loading required package: lmom
Loading required package: lattice
discharge baseflow
19.93 4.03
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