FloodModel

class FloodModel

Data class for the flood model.

Examples

>>> from openturns.usecases import flood_model
>>> # Load the flood model
>>> fm = flood_model.FloodModel()
Attributes:
dimThe dimension of the problem

dim=4

LConstant

Length of the river, L = 5000.0

BConstant

Width of the river, B = 300.0

QTruncatedDistribution of a Gumbel distribution

ot.TruncatedDistribution(ot.Gumbel(558., 1013.), 0, ot.TruncatedDistribution.LOWER)

KsTruncatedDistribution of a Normal distribution

ot.TruncatedDistribution(ot.Normal(30.0, 7.5), 0, ot.TruncatedDistribution.LOWER)

ZvUniform distribution

ot.Uniform(49.0, 51.0)

ZmUniform distribution

ot.Uniform(54.0, 56.0)

modelSymbolicFunction

The flood model.

distributionComposedDistribution

The joint distribution of the input parameters.

__init__()

Examples using the class

Compare unconditional and conditional histograms

Compare unconditional and conditional histograms

Compute SRC indices confidence intervals

Compute SRC indices confidence intervals

Estimate a flooding probability

Estimate a flooding probability

Calibration of the flooding model

Calibration of the flooding model

Bayesian calibration of the flooding model

Bayesian calibration of the flooding model