issq: Calculate ISSQ index of Pita for discarge

In flogrc/piflow: Precipitation and discharge analysis tools with zoo vector

Description

Calculate ISSQ with discharge anomaly with quantile 50 by month with the length, the drought type and the intensity

Usage

issq(monthly_data)

Arguments

monthly_data

[zoo] discharge monthly data in zoo class with date in %Y-%m-%d

Value

List that contains

• $issq [zoo] zoo with the issq values with date in %Y-%m-%d

• $length_zoo [zoo] zoo with the length of drought with date in %Y-%m-%d [day]

• $drought_type [zoo] zoo with the type of the period for each month

• $drought_number [data.frame] dataframe with the number of different period by type:

  • Extwet (issq > 2)
    

  • Verywet (1.99 > issq > 1.5)
    

  • Wet (1.49 > issq > 1)
    

  • Normal (0.99 > issq > -0.99)
    

  • Dry (-1 > issq > -1.49)
    

  • VeryDry (-1.5 > issq > -1.99)
    

  • ExtDry (-2 > issq)

Author(s)

Florine Garcia ([e-mail])

Pierre L'Hermite ([e-mail])

See Also

plot_trend plot the index

Examples

## Loading data
data("dailyPrec_bv1")

## Index
result <- issq(dailyPrec)

## Plot index
plot_trend(result$issq, trend = TRUE, data_kind = "Flow",
name = PluvioData$PluvioName, axis_name_x = "Date",
axis_name_y = Monthly flow [mm/month], midvalue = 0)

flogrc/piflow documentation built on May 24, 2019, 7:34 a.m.