pastas.rfunc.Polder#

class pastas.rfunc.Polder(cutoff: float = 0.999, **kwargs)#

The Polder function, using the standard A, a, b parameters.

Parameters:

  • up (bool or None, optional) – indicates whether a positive stress will cause the head to go up (True, default) or down (False), if None the head can go both ways.

  • gain_scale_factor (float, optional) – the scale factor is used to set the initial value and the bounds of the gain parameter, computed as 1 / gain_scale_factor.

  • cutoff (float, optional) – proportion after which the step function is cut off.

Notes

The impulse response function for this class can be viewed on the Documentation website or using latexify by running the following code in a Jupyter notebook environment:

ps.Polder.impulse

The function is explained in Eq. 123.32 in Bruggeman [1999].

Methods#

get_init_parameters(→ pandas.DataFrame)

Get initial parameters and bounds. It is called by the stressmodel.

get_tmax(→ float)

Method to get the response time for a certain cutoff.

step(→ pastas.typing.ArrayLike)

Method to return the step function.

moment(→ float)

Compute the raw moment of the response function.

impulse(→ pastas.typing.ArrayLike)

Method to return the impulse response function.