stressmodels

This module contains all the stress models available in Pastas.

Stress models are used to translate an input time series into contribution that explains (part of) the output series.

Examples

Add a stress model to a Pastas model:

sm = ps.StressModel(stress, rfunc=ps.Gamma(), name="sm1")
ml.add_stressmodel(stressmodel=sm)

See also

pastas.model.Model.add_stressmodel

Classes

StressModel	Stress model convoluting a stress with a response function.
StepModel	Stressmodel that simulates a step trend.
LinearTrend	Stressmodel that simulates a linear trend.
Constant	A constant value that is added to the time series model.
WellModel	Convolution of one or more stresses with a single scaled response function.
RechargeModel	Stressmodel simulating the effect of groundwater recharge on the head.
TarsoModel	Stressmodel simulating the effect of recharge using the Tarso method.
ChangeModel	Model where the response function changes from one to another over time.