| hemc | R Documentation | 
A function to determine the modal suction, volume of drainable pores, structural index and stability ratio 
using the high-energy-moisture-characteristics (HEMC) method by Pierson & Mulla (1989), which is used to analyze 
the aggregate stability. Before using hemc(), the user may estimate the parameters of the Modified van 
Genuchten's Model through the function fitsoilwater5(). 
hemc(x, theta_R, theta_S, alpha, n, b1, b2, 
	graph = TRUE, from = 1, to = 30, 
	xlab = expression(Psi ~ (J~kg^{-1})), 
	ylab = expression(d ~ theta/d ~ Psi), ...)
x | 
 a vector containing matric potential values.  | 
theta_R | 
 a numeric vector of length two containing the parameter values in the following orde: fast and slow.  | 
theta_S | 
 a numeric vector of length two containing the parameter values in the following orde: fast and slow.  | 
alpha | 
 a numeric vector of length two containing the parameter values in the following orde: fast and slow.  | 
n | 
 a numeric vector of length two containing the parameter values in the following orde: fast and slow.  | 
b1 | 
 a numeric vector of length two containing the parameter values in the following orde: fast and slow.  | 
b2 | 
 a numeric vector of length two containing the parameter values in the following orde: fast and slow.  | 
graph | 
 logical; if TRUE (default), a graphical solution is shown).  | 
from | 
 the lower limit for the x-axis  | 
to | 
 the lower limit for the x-axis  | 
xlab | 
 a label for the x-axis  | 
ylab | 
 a label for the y-axis  | 
... | 
 further graphical arguments  | 
A list of a two objects: 1) a matrix containing the Modal Suction, the Volume od Drainable Pores (VDP) and the Structural Index for both, fast and slow wetting; and 2) the value of Stability Ratio.
Anderson Rodrigo da Silva <anderson.agro@hotmail.com>
Pierson, F.B.; Mulla, D.J. (1989). An Improved Method for Measuring Aggregate Stability of a Weakly Aggregated Loessial Soil. Soil Sci. Soc. Am. J., 53:1825–1831.
fitsoilwater5
hemc(x = seq(1, 30), theta_R = c(0.27, 0.4), theta_S = c(0.65, 0.47), alpha = c(0.1393, 0.0954), n = c(6.37, 7.47), b1 = c(-0.008421, -0.011970), b2 = c(0.0001322, 0.0001552)) # End (Not run)
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