loadflux

The loadflux package is build for the comprehensive analysis of the intra-event suspended sediment dynamics.

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("atsyplenkov/loadflux")

Example

This is a basic example which shows you how to split your series into hydrological events:

library(dplyr)
library(loadflux)
data(djan)

df <- djan %>% 
  hydro_events(q = discharge,
               datetime = time,
               window = 21)

head(df)
#> # A tibble: 6 x 4
#>      he time                discharge    SS
#>   <dbl> <dttm>                  <dbl> <dbl>
#> 1     1 2017-06-06 12:00:00     0.778  227.
#> 2     1 2017-06-06 13:00:00     0.778   NA 
#> 3     1 2017-06-06 14:00:00     0.778  224.
#> 4     1 2017-06-06 15:00:00     0.778   NA 
#> 5     1 2017-06-06 16:00:00     0.778  271.
#> 6     1 2017-06-06 17:00:00     0.925   NA

Plots

Then you can plot the hysteresis loop by running hysteresis_plot

library(ggplot2)

df %>% 
  filter(he == 2) %>%
  hysteresis_plot(q = discharge,
                  ssc = SS,
                  base_font_size = 14)

Hyseteresis indexes

This package also contains several function for hysteresis index calculation:

Added

SHI - Simple Hystersis Index from Tsyplenkov et al., 2020
AHI - Aich’s Hysteresis Index from Aich et al., 2014

Pending

HImid - Hysteresis Index from Lawler et al., 2006

To calculate a hysteresis index for your event run as follows:

df %>% 
  filter(he == 2) %>% 
  SHI(q = discharge,
      ssc = SS)
#> [1] 0.2473604