p.storage: Plot flow components / storage fillage / balance (integrals)...

In wasim: Visualisation and analysis of output files of the hydrological model WASIM

Description

For each component listed in storage, the time series for this component is plotted in a separate window together with the measured discharge.

Usage

p.flow_comp(data, xdata = 1:NROW(data), measured = NULL,
                 data.names = data.types$beschreibung_en[csubset],
                 csubset = c(10, 29, 6, 8, 9, 5, 11), crain = 7, ylab =
                 "flow [mm/h]", c.flow_com = NULL, l.flow_com = NULL,
                 interflow_correction = TRUE, interflow_row = 11,
                 baseflow_row = 8, legend.position = "right", ...)
p.storage(data, xdata, measured, data.names =
                 data.types$beschreibung_en, storage = c(18, 20, 22,
                 24, 26), catchment = 1, mfrow = c(2, 3), ...)
p.balance(data, xdata, measured, plot = TRUE, flows = c(7, 10,
                 3, 1), storage = c(18, 20, 22, 24, 26), catchment = 1,
                 xlab = "time", ...)

Arguments

data	Data as read with read.results
xdata	Values ploted on the x axis, usually read with read.dates
measured	Observed flow data, ploted as reference. Can be read with read.observations
data.names	Names of data series used for legends and y-axes
storage	Vector or integers, indicating which data series to use as storages
plot	Boolean, indicating whether to plot the integrated flow components
csubset	vector of indices indicating which components to plot
crain	index of the column in data which carries rain information
interflow_correction	Boolean indicating whether baseflow should be subtracted from interflow (because WaSiM reports the sum of the two as interflow)
interflow_row	index of the column in data which contains interflow information
baseflow_row	index of the column in data which contains baseflow information
ylab	label to use for y-axis
xlab	label to use for x-axis
mfrow	mfrow parameter for plots
legend.position	position parameter for legend command
c.flow_com	vector of colors to use for the different flow components
l.flow_com	vector of line widths to use for the different flow components
catchment	Which subcatchment should be ploted (column index from data)
flows	numeric vector indicating which flow components to plot (indices from data)
...	Additional arguments passed to plot

Value

Used for its function of creating a plot

Author(s)

Dominik Reusser

Examples

  unzip(system.file("weisseritz.zip", package="wasim"))
d.datum <- read.dates(file= "weisseritz/qgesww100.txt")  # Datumsreihe heisst jetzt d.datum
d.wasim.out <- read.results("", "weisseritz",ts.length=21937,subcatchments=2, ending="ww100.txt")    # Datensatz heisst jetzt d.wasim.out 
d.meas.all<-read.table("weisseritz/ww100-rh.txt",header=TRUE, na.strings ="999", skip=4)  # gemessene Daten einlesen
d.meas<-d.meas.all$Ammelsdorf[69716:91652]
p.storage(d.wasim.out, xdata=d.datum, measured=d.meas)

wasim documentation built on May 1, 2019, 6:50 p.m.