Preface
I Background
1
Motivation and objectives
1.1
Motivation
1.2
Objectives
2
R statistical program
2.1
R
2.2
Functions & packages
2.2.1
Function:
2.2.2
Arguments:
2.2.3
Package:
2.2.4
Function & package documentation:
3
GitHub
3.1
DWQ GitHub organization
3.2
DWQ R packages
4
IR process outline
II Demonstration
5
Packages & data downloads
5.1
Install & import DWQ’s R packages
5.2
Download and import data
5.2.1
Data download
5.2.2
Data imports
6
Site validation
6.1
Auto site validation
6.2
Manual site validation
7
Data processing
7.1
Data validation
7.1.1
Update detection condition / limit name tables
7.1.2
Determine detection conditions and fill NDs
7.1.3
Update lab/activity & media tables
7.1.4
Apply screening tables
7.1.5
Subset data to desired flag types
7.2
Data prep
7.2.1
Update parameter translation tables
7.2.2
Apply parameter translation table
7.2.3
Subset data to ACCEPT parameters
7.2.4
Criteria & unit assigments
7.2.5
Final data prep step
8
Assessments
8.1
Conventionals (rivers & streams, non-ALU lake surface)
8.1.1
Count exceedances
8.1.2
Assess exceedances
8.2
Toxics
8.2.1
Count exceedances
8.2.2
Assess exceedances
8.3
Lake profiles
8.4
E.coli (not run)
8.5
HFDO (not run)
8.6
Group assessments
9
Rollup
10
Write out assessments
11
Assessment map
III Applications
12
Assessment review applications
12.1
Assessment unit & site assessment review dashboard
12.2
Toxic & conventionals assessment review dashboard
12.3
Lake profile dashboard
12.4
High frequency DO dashboard
12.5
Utah Lake Data Explorer
12.6
Ecoli dashboard
DWQ’s irTools package: An automated approach to water quality assessment
11
Assessment map
https://bookdown.org/jakevl/assessment-map/assessment-map.html
