rfunc#

Module containing all the response functions available in Pastas.

Examples

Use response functions in stress models:

rfunc = ps.Gamma()
sm = ps.StressModel(stress, rfunc=rfunc, name="well")
ml.add_stressmodel(sm)

Classes#

`Gamma`	Gamma response function with 3 parameters A, a, and n.
`Exponential`	Exponential response function with 2 parameters: A and a.
`Hantush`	Hantush well function, using the standard A, a, b parameters.
`HantushWellModel`	An implementation of the Hantush well function for multiple pumping wells.
`Polder`	Polder function, using the standard A, a, b parameters.
`One`	Instant response with no lag and one parameter A.
`FourParam`	Four Parameter response function with 4 parameters A, a, b, and n.
`DoubleExponential`	Double Exponential response function with 4 parameters A, alpha, a1 and a2.
`Kraijenhoff`	response function of Van de Leur [1958].
`Spline`	Spline response function with parameters: A and a factor for every t.