Water Quality Models for Drinking Water Treatment Processes.

tidywater

Overview

Tidywater incorporates published water chemistry and empirical models in a standard format. The modular functions allow for building custom, comprehensive drinking water treatment processes. Functions are designed to work in a tidyverse workflow.

Installation

# Install tidywater from CRAN:
install.packages("tidywater")

# Alternatively, install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("BrownandCaldwell-Public/tidywater")

Examples

In this first example, acid-base chemistry and TOC removal models are demonstrated. This example uses tidywater base functions to model a single water quality scenario.

library(tidywater)
library(tidyverse)
## Use base tidywater functions to model water quality for a single scenario.
base_coagulation <- define_water(ph = 8, alk = 90, tds = 50, toc = 3, doc = 2.8, uv254 = 0.08) %>%
  chemdose_ph(alum = 30) %>%
  chemdose_toc(alum = 30)

To model multiple water quality scenarios, use tidywater’s helper functions (x_chain or x_once) to apply the models to a dataframe.

## x_chain functions apply models to a list of "waters", and output a list of "waters" so that
## the data can be piped into the next tidywater model.
coagulation <- water_df %>%
  define_water_chain() %>%
  mutate(alum = 30) %>%
  chemdose_ph_chain() %>%
  chemdose_toc_chain()

## x_once functions apply models to a list of "waters", but output a data frame. The data can not be
## piped to a downstream tidywater function, but all the "water" parameters are now visible and
## can be manipulated as a typical data frame.

enhanced_coagulation <- water_df %>%
  define_water_chain() %>%
  mutate(alum = seq(1, 12, 1)) %>%
  chemdose_ph_once(hcl = 10)

Note that these functions use a “water” class. The “water” class is the foundation of the package; it provides a mechanism for linking models in any order while maintaining water quality information. The define_water function takes water quality inputs, but define_water_chain may be used to convert a dataframe to a list of “waters”.

For more detailed examples on tidywater functions and how to use “water” class data, please see the tidywater vignettes: browseVignettes("tidywater")