Performs a volume frequency analysis on annual peak statistics (instantaneous minimums or maximums) extracted from HYDAT. Calculates statistics from all years, unless specified. The data argument is not available. Analysis methodology replicates that from HEC-SSP. Returns a list of tibbles and plots.

compute_hydat_peak_frequencies(
  station_number,
  use_max = FALSE,
  use_log = FALSE,
  prob_plot_position = c("weibull", "median", "hazen"),
  prob_scale_points = c(0.9999, 0.999, 0.99, 0.9, 0.5, 0.2, 0.1, 0.02, 0.01, 0.001,
    1e-04),
  fit_distr = c("PIII", "weibull"),
  fit_distr_method = ifelse(fit_distr == "PIII", "MOM", "MLE"),
  fit_quantiles = c(0.975, 0.99, 0.98, 0.95, 0.9, 0.8, 0.5, 0.2, 0.1, 0.05, 0.01),
  start_year,
  end_year,
  exclude_years,
  plot_curve = TRUE
)

Arguments

station_number

A character string vector of seven digit Water Survey of Canada station numbers (e.g. "08NM116") of which to extract annual peak minimum or maximum instantaneous streamflow data from a HYDAT database. Requires tidyhydat package and a HYDAT database.

use_max

Logical value to indicate using maximums rather than the minimums for analysis. Default FALSE.

use_log

Logical value to indicate log-scale transforming of flow data before analysis. Default FALSE.

prob_plot_position

Character string indicating the plotting positions used in the frequency plots, one of 'weibull', 'median', or 'hazen'. Points are plotted against (i-a)/(n+1-a-b) where i is the rank of the value; n is the sample size and a and b are defined as: (a=0, b=0) for Weibull plotting positions; (a=.2; b=.3) for Median plotting positions; and (a=.5; b=.5) for Hazen plotting positions. Default 'weibull'.

prob_scale_points

Numeric vector of probabilities to be plotted along the X axis in the frequency plot. Inverse of return period. Default c(.9999, .999, .99, .9, .5, .2, .1, .02, .01, .001, .0001).

fit_distr

Character string identifying the distribution to fit annual data, one of 'PIII' (Log Pearson Type III) or 'weibull' (Weibull) distributions. Default 'PIII'.

fit_distr_method

Character string identifying the method used to fit the distribution, one of 'MOM' (method of moments) or 'MLE' (maximum likelihood estimation). Selected as 'MOM' if fit_distr ='PIII' (default) or 'MLE' if fit_distr = 'weibull'.

fit_quantiles

Numeric vector of quantiles to be estimated from the fitted distribution. Default c(.975, .99, .98, .95, .90, .80, .50, .20, .10, .05, .01).

start_year

Numeric value of the first year to consider for analysis. Leave blank to use the first year of the source data.

end_year

Numeric value of the last year to consider for analysis. Leave blank to use the last year of the source data.

exclude_years

Numeric vector of years to exclude from analysis. Leave blank to include all years.

plot_curve

Logical value to indicate plotting the computed curve on the probability plot. Default TRUE.

Value

A list with the following elements:

Freq_Analysis_Data

Data frame with computed annual summary statistics used in analysis.

Freq_Plot_Data

Data frame with co-ordinates used in frequency plot.

Freq_Plot

ggplot2 object with frequency plot

Freq_Fitting

List of fitted objects from fitdistrplus.

Freq_Fitted_Quantiles

Data frame with fitted quantiles.

See also

Examples

if (FALSE) { # Working examples (see arguments for further analysis options): # Compute an annual peak frequency analysis using default arguments (instantaneous lows) results <- compute_hydat_peak_frequencies(station_number = "08NM116", start_year = 1980, end_year = 2010) # Compute an annual peak frequency analysis using default arguments (instantaneous highs) results <- compute_hydat_peak_frequencies(station_number = "08NM116", start_year = 1980, end_year = 2010, use_max = TRUE) }