horton: Horton infiltration parameter optmisation in R

In gowusu/vadose: The estimation of saturated hydraulic conductivity and soil water retention Curves in the vadose zone

Description

This function optimises Horton (1940) infiltration parameters: fo,fc, and k. It also predicts infiltration.

Usage

horton(data = NULL, time, I, fc = 0.1, fo = 0.1, k = 0.1,
  group = NULL)

## Default S3 method:
horton(data = NULL, time, I, fc = 0.1, fo = 0.1,
  k = 0.1, group = NULL)

## S3 method for class 'horton'
predict(object, time = NULL, ...)

## S3 method for class 'horton'
plot(x, xlab = "Time(Minutes)", ylab = "Cumulative (cm)",
  main = NULL, layout = NULL, ...)

## S3 method for class 'horton'
summary(object)

## S3 method for class 'horton'
print(x, ...)

## S3 method for class 'horton'
coef(object, ...)

Arguments

data	dataframe. It can contain data with column names of "time" and "I"
time	character or numeric. The name of time variable in the dataframe. If the "data" parameter contains "time", this will be ignored. The unit must be in seconds.
I	cumulative infiltration (I) or infiltration rate (i) [mm]
fc	final constant rate of infiltration at saturation
fo	parameter for initial infiltration capacity
k	a constant depending primarily upon soil and vegetation
group	character. The name of the group variables if the data is from different areas.
object	Model output object
...	Any other graphical parameter
x	a return object of the function.
xlab	x label of the plot
ylab	y label of the plot
main	Title of the plot
layout	plot layout

Value

• fc: final constant rate of infiltration at saturation

• fo: parameter for initial infiltration capacity

• k: a constant depending primarily upon soil and vegetation

• predict:predicted infiltration

• output: output of the group simulation

Author(s)

George Owusu

References

Horton, R. E. (1940). An approach toward a physical interpretation of infiltration capacity Proc. Sci. Soc. Amer., 5, 399-417.

Examples

data=read.csv(system.file("ext","sys","exampleBEST.csv",package="vadose"))
horton1<-horton(data=data,time="time",I="I")
#print(gof(horton1))
plot(horton1)
predict(horton1)
coef(horton1)

#group simulation
data=read.csv(system.file("ext","sys","infiltration2.csv",package="vadose"))
horton1g<-horton(data=data,time="minutes",I="CumInfil",group="ID")
coef(horton1g)
#generic function ######################################

gowusu/vadose documentation built on May 17, 2019, 7:59 a.m.