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