FloodnetPool: Pooled flood frequency analysis

In floodnetProject16/floodnetRfa: FloodNet Regional Frequency Analysis

Description

Return the results of a regional frequency analysis based on pooling groups.

Usage

FloodnetPool(
  x,
  target,
  period = c(2, 5, 10, 20, 50, 100),
  distr = NULL,
  tol.H = 2,
  nsim = 2000,
  level = 0.95,
  corr = NULL,
  out.model = FALSE,
  verbose = TRUE
)

Arguments

x	Hydrometric data of the form: site, year, value.
target	site ID of the target.
period	Return periods for which the flood quantiles are estimated.
distr	Regional distribution.
tol.H	Heterogeneity measure. A stopping criterion representing the minimal heterogeneity level accepted for a pooling group.
nsim	Number of bootstrap samples used for inference.
level	Confidence level.
corr	Coefficient of correlation used for simulation. The same value is assumed between each pair of sites.
out.model	Logical. Should the model be output. This corresponds to the output of FitRegLmom. Otherwise only the estimated flood quantiles are returned.
verbose	Logical. Should message and warnings be returned.

Details

Estimation is carried out by the L-moment algorithms. See FitRegLmom and PoolRemove for more details. If not provided the distance between sites is evaluated using the distance between the regularity and timing of the annual flood peaks. Confidence intervals and standard deviation are evaluated by a parametric bootstrap. An intersite correlation is estimated and used to simulate from a multivariate normal distribution.

See Also

FitRegLmom, PoolRemove.

Examples

## Not run: 

 ## Performing AMAX analysis using L-moments
 x <- DemoData('region')
 fit <- FloodnetPool(x, '01AF009')


## End(Not run)

floodnetProject16/floodnetRfa documentation built on Oct. 24, 2020, 9:19 a.m.