chloramine_conv

A dataset containing conversion factors for calculating DBP formation

datasets

Provides multiple water chemistry-based models and published empirical models in one standard format.
Functions can be chained together to model a complete treatment process and are designed to work in a 'tidyverse' workflow.
Models are primarily based on these sources:
Benjamin, M. M. (2002, ISBN:147862308X),
Crittenden, J. C., Trussell, R., Hand, D., Howe, J. K., & Tchobanoglous, G., Borchardt, J. H. (2012, ISBN:9781118131473),
USEPA. (2001) <https://www.epa.gov/sites/default/files/2017-03/documents/wtp_model_v._2.0_manual_508.pdf>.

Sierra Johnson

tidywater

Water Quality Models for Drinking Water Treatment Processes

Libby McKenna

Riley Mulhern

Chris Corwin

Rachel Merrifield

Mayuri Namasivayam

Phoebe Chen

USEPA 

Brown and Caldwell 

chloramine_conv function

A dataframe with 17 rows and 3 columns<dl>
<dt>ID</dt>
<dd>abbreviation of dbp species</dd><dt>alias</dt>
<dd>full name of dbp species</dd><dt>percent</dt>
<dd>specifies the percent of DBP formation predicted from chloramines compared to chlorine, assuming the same chlorine dose applied</dd>
</dl>

Format

Data frame of conversion factors for estimating DBP formation from chloramines — chloramine_conv

A dataframe with 17 rows and 3 columns<dl>
<dt>ID</dt>
<dd>abbreviation of dbp species</dd>

<dt>alias</dt>
<dd>full name of dbp species</dd>

<dt>percent</dt>
<dd>specifies the percent of DBP formation predicted from chloramines compared to chlorine, assuming the same chlorine dose applied</dd>


</dl>

Data frame of conversion factors for estimating DBP formation from chloramines

chloramine_conv: Data frame of conversion factors for estimating DBP formation from chloramines

Description

Usage

Arguments

Format