README.md
In bcgov/rcaaqs: Tools to implement CAAQS analysis for air quality
rcaaqs
Overview
An R package to facilitate the calculation
of air quality metrics according to the Canadian Ambient Air Quality
Standards
(CAAQS)
Features
- General functions for doing things like formatting dates, filling in
sequences, etc.
- Functions for stepwise calculation of CAAQS metrics—including
implementing data completeness criteria—for different air
pollutants. Currently these are complete for PM2.5
(annual and 24hr), O3, NO2, and SO2
metrics.
- Functions for assigning metrics for different pollutants into
achievement and management categories.
Installation
The package is not available on CRAN, but can be installed using the
devtools package:
install.packages("devtools") # if not already installed
library(devtools)
install_github("bcgov/rcaaqs")
Usage
This is a simple example using the included sample data set for
PM2.5.
library(rcaaqs)
library(dplyr, warn.conflicts = FALSE)
# Look at the sample data:
glimpse(pm25_sample_data)
#> Observations: 229,496
#> Variables: 6
#> $ ems_id <chr> "0220205", "0220205", "0220205", "0220205", "0220205...
#> $ date_time <dttm> 2011-03-01 00:59:59, 2011-03-01 01:59:59, 2011-03-0...
#> $ site <chr> "Powell River Wildwood_60", "Powell River Wildwood_6...
#> $ year <int> 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011...
#> $ parameter <chr> "PM25", "PM25", "PM25", "PM25", "PM25", "PM25", "PM2...
#> $ value <dbl> 2, 2, 0, 3, 1, 1, 2, 2, 2, 2, 1, 3, 1, 1, 0, 0, 0, 0...
# Compute the PM2.5 Annual CAAQS
pm_annual <- pm_annual_caaqs(pm25_sample_data, by = c("ems_id", "site"))
#> Calculating PM 2.5 daily average
#> Calculating PM 2.5 annual average
#> Calculating PM 2.5 annual CAAQS metric
glimpse(pm_annual)
#> Observations: 30
#> Variables: 14
#> $ ems_id <chr> "0220205", "0220205", "0220205", "0310...
#> $ site <chr> "Powell River Wildwood_60", "Powell Ri...
#> $ caaqs_year <dbl> 2011, 2012, 2013, 2011, 2012, 2013, 20...
#> $ min_year <dbl> 2011, 2012, 2012, 2011, 2011, 2011, 20...
#> $ max_year <dbl> 2011, 2012, 2013, 2011, 2012, 2013, 20...
#> $ n_years <dbl> 0, 1, 1, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1,...
#> $ metric <chr> "pm2.5_annual", "pm2.5_annual", "pm2.5...
#> $ metric_value <dbl> NA, NA, NA, NA, 4.6, 5.1, NA, 6.6, 6.5...
#> $ caaqs <ord> Insufficient Data, Insufficient Data, ...
#> $ mgmt <ord> Insufficient Data, Insufficient Data, ...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_daily_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
#> $ flag_yearly_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
#> $ flag_two_of_three_years <lgl> FALSE, FALSE, FALSE, FALSE, TRUE, FALS...
# Compute the PM2.5 24hr CAAQS
pm_24h <- pm_24h_caaqs(pm25_sample_data, by = c("ems_id", "site"))
#> Calculating PM 2.5 daily average
#> Calculating PM 2.5 annual 98th percentile
#> Calculating PM 2.5 24h CAAQS metric
glimpse(pm_24h)
#> Observations: 30
#> Variables: 14
#> $ ems_id <chr> "0220205", "0220205", "0220205", "0310...
#> $ site <chr> "Powell River Wildwood_60", "Powell Ri...
#> $ caaqs_year <dbl> 2011, 2012, 2013, 2011, 2012, 2013, 20...
#> $ min_year <dbl> 2011, 2012, 2012, 2011, 2011, 2011, 20...
#> $ max_year <dbl> 2011, 2012, 2013, 2011, 2012, 2013, 20...
#> $ n_years <dbl> 0, 1, 1, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1,...
#> $ metric <chr> "pm2.5_24h", "pm2.5_24h", "pm2.5_24h",...
#> $ metric_value <dbl> NA, NA, NA, NA, 13, 13, NA, 14, 15, NA...
#> $ caaqs <ord> Insufficient Data, Insufficient Data, ...
#> $ mgmt <ord> Insufficient Data, Insufficient Data, ...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_daily_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
#> $ flag_yearly_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_two_of_three_years <lgl> FALSE, FALSE, FALSE, FALSE, TRUE, FALS...
This is a simple example using the included sample data set for
O3.
# Look at the sample data:
glimpse(o3_sample_data)
#> Observations: 99,123
#> Variables: 8
#> $ ems_id <chr> "E231866", "E231866", "E231866", "E231866", "E231866...
#> $ site <chr> "Victoria Topaz", "Victoria Topaz", "Victoria Topaz"...
#> $ parameter <chr> "O3", "O3", "O3", "O3", "O3", "O3", "O3", "O3", "O3"...
#> $ date_time <dttm> 2013-01-01 00:00:00, 2013-01-01 01:00:00, 2013-01-0...
#> $ year <int> 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013...
#> $ month <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
#> $ value <dbl> 13, 12, 12, 14, 19, 16, 14, 15, 12, 8, 11, 18, 19, 2...
#> $ units <chr> "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "pp...
# Compute the Ozone CAAQS
o3 <- o3_caaqs(o3_sample_data, by = c("ems_id", "site"))
#> Calculating O3 daily maximum of 8h average
#> Calculating O3 annual 4th highest
#> Calculating O3 CAAQS metric
glimpse(o3)
#> Observations: 12
#> Variables: 14
#> $ ems_id <chr> "0500886", "0500886", "0500886", "E229...
#> $ site <chr> "Kelowna College", "Kelowna College", ...
#> $ caaqs_year <dbl> 2013, 2014, 2015, 2013, 2014, 2015, 20...
#> $ min_year <dbl> 2013, 2013, 2013, 2013, 2013, 2013, 20...
#> $ max_year <dbl> 2013, 2014, 2015, 2013, 2014, 2015, 20...
#> $ n_years <dbl> 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3
#> $ metric <chr> "o3", "o3", "o3", "o3", "o3", "o3", "o...
#> $ metric_value <dbl> NA, 53, 54, NA, 44, 45, NA, 46, 46, NA...
#> $ caaqs <ord> Insufficient Data, Achieved, Achieved,...
#> $ mgmt <ord> Insufficient Data, Actions for Prevent...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_daily_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_yearly_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_two_of_three_years <lgl> FALSE, TRUE, FALSE, FALSE, TRUE, FALSE...
This is a simple example using the included sample data set for
SO2.
# Look at the sample data:
glimpse(so2_sample_data)
#> Observations: 56,533
#> Variables: 8
#> $ ems_id <chr> "E231866", "E231866", "E231866", "E231866", "E231866...
#> $ site <chr> "Victoria Topaz", "Victoria Topaz", "Victoria Topaz"...
#> $ parameter <chr> "SO2", "SO2", "SO2", "SO2", "SO2", "SO2", "SO2", "SO...
#> $ date_time <dttm> 2013-01-01 00:00:00, 2013-01-01 01:00:00, 2013-01-0...
#> $ year <int> 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013...
#> $ month <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
#> $ value <dbl> 0.681388, 0.407499, 0.441388, 0.435833, 0.301943, 0....
#> $ units <chr> "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "pp...
# Compute the SO2 1-hr CAAQS (3-yr rolling average of 1hr measures)
so2_3yr <- so2_3yr_caaqs(so2_sample_data, by = c("ems_id", "site"))
#> Calculating SO2 daily maximum
#> Calculating SO2 annual 99th percentile
#> Calculating SO2 1h CAAQS metric
glimpse(so2_3yr)
#> Observations: 8
#> Variables: 14
#> $ ems_id <chr> "0500886", "0500886", "0500886", "E229...
#> $ site <chr> "Kelowna College", "Kelowna College", ...
#> $ caaqs_year <dbl> 2013, 2014, 2015, 2013, 2013, 2014, 20...
#> $ min_year <dbl> 2013, 2013, 2013, 2013, 2013, 2013, 20...
#> $ max_year <dbl> 2013, 2014, 2015, 2013, 2013, 2014, 20...
#> $ n_years <dbl> 1, 2, 3, 0, 1, 2, 3, 0
#> $ metric <chr> "so2_3yr", "so2_3yr", "so2_3yr", "so2_...
#> $ metric_value <dbl> NA, 1.8, 1.8, NA, NA, 17.1, 17.1, NA
#> $ caaqs <ord> Insufficient Data, Achieved, Achieved,...
#> $ mgmt <ord> Insufficient Data, Actions for Keeping...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_daily_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_yearly_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_two_of_three_years <lgl> FALSE, TRUE, FALSE, FALSE, FALSE, TRUE...
# Compute the SO2 annual CAAQS (1-yr average across all hourly measures)
so2_1yr <- so2_1yr_caaqs(so2_sample_data, by = c("ems_id", "site"))
#> Calculating SO2 annual average CAAQS metric
glimpse(so2_1yr)
#> Observations: 8
#> Variables: 10
#> $ ems_id <chr> "0500886", "0500886", "0500886", "E2297...
#> $ site <chr> "Kelowna College", "Kelowna College", "...
#> $ caaqs_year <dbl> 2013, 2014, 2015, 2013, 2013, 2014, 201...
#> $ metric <chr> "so2_1yr", "so2_1yr", "so2_1yr", "so2_1...
#> $ metric_value <dbl> 0.4, 0.3, 0.4, NA, 0.9, 1.0, 1.0, NA
#> $ caaqs <ord> Achieved, Achieved, Achieved, Insuffici...
#> $ mgmt <ord> Actions for Keeping Clean Areas Clean, ...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALS...
#> $ flag_daily_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA
#> $ flag_yearly_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALS...
This is a simple example using the included sample data set for
NO2.
# Look at the sample data:
glimpse(no2_sample_data)
#> Observations: 99,083
#> Variables: 8
#> $ ems_id <chr> "E231866", "E231866", "E231866", "E231866", "E231866...
#> $ site <chr> "Victoria Topaz", "Victoria Topaz", "Victoria Topaz"...
#> $ parameter <chr> "NO2", "NO2", "NO2", "NO2", "NO2", "NO2", "NO2", "NO...
#> $ date_time <dttm> 2013-01-01 00:00:00, 2013-01-01 01:00:00, 2013-01-0...
#> $ year <int> 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013...
#> $ month <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
#> $ value <dbl> 5.458333, 5.127500, 4.747499, 3.583333, 2.670833, 2....
#> $ units <chr> "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "pp...
# Compute the NO2 1-hr CAAQS (3-yr rolling average of 1hr measures)
no2_3yr <- no2_3yr_caaqs(no2_sample_data, by = c("ems_id", "site"))
#> Calculating NO2 daily maximum
#> Calculating NO2 annual 98th percentile
#> Calculating NO2 1h CAAQS metric
glimpse(no2_3yr)
#> Observations: 12
#> Variables: 14
#> $ ems_id <chr> "0500886", "0500886", "0500886", "E229...
#> $ site <chr> "Kelowna College", "Kelowna College", ...
#> $ caaqs_year <dbl> 2013, 2014, 2015, 2013, 2014, 2015, 20...
#> $ min_year <dbl> 2013, 2013, 2013, 2013, 2013, 2013, 20...
#> $ max_year <dbl> 2013, 2014, 2015, 2013, 2014, 2015, 20...
#> $ n_years <dbl> 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3
#> $ metric <chr> "no2_3yr", "no2_3yr", "no2_3yr", "no2_...
#> $ metric_value <dbl> NA, 30.3, 30.3, NA, 26.4, 27.2, NA, 36...
#> $ caaqs <ord> Insufficient Data, Achieved, Achieved,...
#> $ mgmt <ord> Insufficient Data, Actions for Prevent...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_daily_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_yearly_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
#> $ flag_two_of_three_years <lgl> FALSE, TRUE, FALSE, FALSE, TRUE, FALSE...
# Compute the NO2 annual CAAQS (1-yr average across all hourly measures)
no2_1yr <- no2_1yr_caaqs(no2_sample_data, by = c("ems_id", "site"))
#> Calculating NO2 annual average CAAQS metric
glimpse(no2_1yr)
#> Observations: 12
#> Variables: 10
#> $ ems_id <chr> "0500886", "0500886", "0500886", "E2297...
#> $ site <chr> "Kelowna College", "Kelowna College", "...
#> $ caaqs_year <dbl> 2013, 2014, 2015, 2013, 2014, 2015, 201...
#> $ metric <chr> "no2_1yr", "no2_1yr", "no2_1yr", "no2_1...
#> $ metric_value <dbl> 5.9, 6.7, 7.1, 6.4, 5.8, 5.9, 9.0, 8.4,...
#> $ caaqs <ord> Achieved, Achieved, Achieved, Achieved,...
#> $ mgmt <ord> Actions for Preventing Air Quality Dete...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALS...
#> $ flag_daily_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,...
#> $ flag_yearly_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,...
You can view the CAAQS Achievement Levels as well as Management Levels
in the included data frames. These are used internally in
pm_annual_caaq() and pm_24hr_caaq() to assign metric values at each
station to the appropriate CAAQS Achievement Level and Management Level:
achievement_levels
#> # A tibble: 6 x 11
#> parameter labels lower_breaks upper_breaks units units_unicode
#> <chr> <chr> <dbl> <dbl> <chr> <chr>
#> 1 o3 Achieved 0 63 ppb ppb
#> 2 o3 Not Achieved 63 Inf ppb ppb
#> 3 pm2.5_annual Achieved 0 10 ug/m^3 μg/m³
#> 4 pm2.5_annual Not Achieved 10 Inf ug/m^3 μg/m³
#> 5 pm2.5_24h Achieved 0 28 ug/m^3 μg/m³
#> 6 pm2.5_24h Not Achieved 28 Inf ug/m^3 μg/m³
#> # ... with 5 more variables: units_html <chr>, val_labels <chr>,
#> # val_labels_html <chr>, val_labels_unicode <chr>, colour <chr>
management_levels
#> # A tibble: 12 x 11
#> parameter labels lower_breaks upper_breaks units units_unicode
#> <chr> <chr> <dbl> <dbl> <chr> <chr>
#> 1 o3 Actions for K… 0 50 ppb ppb
#> 2 o3 Actions for P… 50 56 ppb ppb
#> 3 o3 Actions for P… 56 63 ppb ppb
#> 4 o3 Actions for A… 63 Inf ppb ppb
#> 5 pm2.5_ann… Actions for K… 0 4 ug/m… μg/m³
#> 6 pm2.5_ann… Actions for P… 4 6.4 ug/m… μg/m³
#> 7 pm2.5_ann… Actions for P… 6.4 10 ug/m… μg/m³
#> 8 pm2.5_ann… Actions for A… 10 Inf ug/m… μg/m³
#> 9 pm2.5_24h Actions for K… 0 10 ug/m… μg/m³
#> 10 pm2.5_24h Actions for P… 10 19 ug/m… μg/m³
#> 11 pm2.5_24h Actions for P… 19 28 ug/m… μg/m³
#> 12 pm2.5_24h Actions for A… 28 Inf ug/m… μg/m³
#> # ... with 5 more variables: units_html <chr>, val_labels <chr>,
#> # val_labels_html <chr>, val_labels_unicode <chr>, colour <chr>
Project Status
The package is under active development.
Getting Help or Reporting an Issue
To report bugs/issues/feature requests, please file an
issue.
How to Contribute
If you would like to contribute to the package, please see our
CONTRIBUTING guidelines.
Please note that this project is released with a Contributor Code of
Conduct. By participating in this project you agree
to abide by its terms.
License
Copyright 2015 Province of British Columbia
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
This repository is maintained by Environmental Reporting
BC.
Click here for a complete list
of our repositories on GitHub.
bcgov/rcaaqs documentation built on Dec. 12, 2023, 9:21 a.m.
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rcaaqs
Overview
An R package to facilitate the calculation of air quality metrics according to the Canadian Ambient Air Quality Standards (CAAQS)
Features
- General functions for doing things like formatting dates, filling in sequences, etc.
- Functions for stepwise calculation of CAAQS metrics—including implementing data completeness criteria—for different air pollutants. Currently these are complete for PM2.5 (annual and 24hr), O3, NO2, and SO2 metrics.
- Functions for assigning metrics for different pollutants into achievement and management categories.
Installation
The package is not available on CRAN, but can be installed using the devtools package:
install.packages("devtools") # if not already installed
library(devtools)
install_github("bcgov/rcaaqs")
Usage
This is a simple example using the included sample data set for PM2.5.
library(rcaaqs)
library(dplyr, warn.conflicts = FALSE)
# Look at the sample data:
glimpse(pm25_sample_data)
#> Observations: 229,496
#> Variables: 6
#> $ ems_id <chr> "0220205", "0220205", "0220205", "0220205", "0220205...
#> $ date_time <dttm> 2011-03-01 00:59:59, 2011-03-01 01:59:59, 2011-03-0...
#> $ site <chr> "Powell River Wildwood_60", "Powell River Wildwood_6...
#> $ year <int> 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011...
#> $ parameter <chr> "PM25", "PM25", "PM25", "PM25", "PM25", "PM25", "PM2...
#> $ value <dbl> 2, 2, 0, 3, 1, 1, 2, 2, 2, 2, 1, 3, 1, 1, 0, 0, 0, 0...
# Compute the PM2.5 Annual CAAQS
pm_annual <- pm_annual_caaqs(pm25_sample_data, by = c("ems_id", "site"))
#> Calculating PM 2.5 daily average
#> Calculating PM 2.5 annual average
#> Calculating PM 2.5 annual CAAQS metric
glimpse(pm_annual)
#> Observations: 30
#> Variables: 14
#> $ ems_id <chr> "0220205", "0220205", "0220205", "0310...
#> $ site <chr> "Powell River Wildwood_60", "Powell Ri...
#> $ caaqs_year <dbl> 2011, 2012, 2013, 2011, 2012, 2013, 20...
#> $ min_year <dbl> 2011, 2012, 2012, 2011, 2011, 2011, 20...
#> $ max_year <dbl> 2011, 2012, 2013, 2011, 2012, 2013, 20...
#> $ n_years <dbl> 0, 1, 1, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1,...
#> $ metric <chr> "pm2.5_annual", "pm2.5_annual", "pm2.5...
#> $ metric_value <dbl> NA, NA, NA, NA, 4.6, 5.1, NA, 6.6, 6.5...
#> $ caaqs <ord> Insufficient Data, Insufficient Data, ...
#> $ mgmt <ord> Insufficient Data, Insufficient Data, ...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_daily_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
#> $ flag_yearly_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
#> $ flag_two_of_three_years <lgl> FALSE, FALSE, FALSE, FALSE, TRUE, FALS...
# Compute the PM2.5 24hr CAAQS
pm_24h <- pm_24h_caaqs(pm25_sample_data, by = c("ems_id", "site"))
#> Calculating PM 2.5 daily average
#> Calculating PM 2.5 annual 98th percentile
#> Calculating PM 2.5 24h CAAQS metric
glimpse(pm_24h)
#> Observations: 30
#> Variables: 14
#> $ ems_id <chr> "0220205", "0220205", "0220205", "0310...
#> $ site <chr> "Powell River Wildwood_60", "Powell Ri...
#> $ caaqs_year <dbl> 2011, 2012, 2013, 2011, 2012, 2013, 20...
#> $ min_year <dbl> 2011, 2012, 2012, 2011, 2011, 2011, 20...
#> $ max_year <dbl> 2011, 2012, 2013, 2011, 2012, 2013, 20...
#> $ n_years <dbl> 0, 1, 1, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1,...
#> $ metric <chr> "pm2.5_24h", "pm2.5_24h", "pm2.5_24h",...
#> $ metric_value <dbl> NA, NA, NA, NA, 13, 13, NA, 14, 15, NA...
#> $ caaqs <ord> Insufficient Data, Insufficient Data, ...
#> $ mgmt <ord> Insufficient Data, Insufficient Data, ...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_daily_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
#> $ flag_yearly_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_two_of_three_years <lgl> FALSE, FALSE, FALSE, FALSE, TRUE, FALS...
This is a simple example using the included sample data set for O3.
# Look at the sample data:
glimpse(o3_sample_data)
#> Observations: 99,123
#> Variables: 8
#> $ ems_id <chr> "E231866", "E231866", "E231866", "E231866", "E231866...
#> $ site <chr> "Victoria Topaz", "Victoria Topaz", "Victoria Topaz"...
#> $ parameter <chr> "O3", "O3", "O3", "O3", "O3", "O3", "O3", "O3", "O3"...
#> $ date_time <dttm> 2013-01-01 00:00:00, 2013-01-01 01:00:00, 2013-01-0...
#> $ year <int> 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013...
#> $ month <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
#> $ value <dbl> 13, 12, 12, 14, 19, 16, 14, 15, 12, 8, 11, 18, 19, 2...
#> $ units <chr> "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "pp...
# Compute the Ozone CAAQS
o3 <- o3_caaqs(o3_sample_data, by = c("ems_id", "site"))
#> Calculating O3 daily maximum of 8h average
#> Calculating O3 annual 4th highest
#> Calculating O3 CAAQS metric
glimpse(o3)
#> Observations: 12
#> Variables: 14
#> $ ems_id <chr> "0500886", "0500886", "0500886", "E229...
#> $ site <chr> "Kelowna College", "Kelowna College", ...
#> $ caaqs_year <dbl> 2013, 2014, 2015, 2013, 2014, 2015, 20...
#> $ min_year <dbl> 2013, 2013, 2013, 2013, 2013, 2013, 20...
#> $ max_year <dbl> 2013, 2014, 2015, 2013, 2014, 2015, 20...
#> $ n_years <dbl> 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3
#> $ metric <chr> "o3", "o3", "o3", "o3", "o3", "o3", "o...
#> $ metric_value <dbl> NA, 53, 54, NA, 44, 45, NA, 46, 46, NA...
#> $ caaqs <ord> Insufficient Data, Achieved, Achieved,...
#> $ mgmt <ord> Insufficient Data, Actions for Prevent...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_daily_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_yearly_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_two_of_three_years <lgl> FALSE, TRUE, FALSE, FALSE, TRUE, FALSE...
This is a simple example using the included sample data set for SO2.
# Look at the sample data:
glimpse(so2_sample_data)
#> Observations: 56,533
#> Variables: 8
#> $ ems_id <chr> "E231866", "E231866", "E231866", "E231866", "E231866...
#> $ site <chr> "Victoria Topaz", "Victoria Topaz", "Victoria Topaz"...
#> $ parameter <chr> "SO2", "SO2", "SO2", "SO2", "SO2", "SO2", "SO2", "SO...
#> $ date_time <dttm> 2013-01-01 00:00:00, 2013-01-01 01:00:00, 2013-01-0...
#> $ year <int> 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013...
#> $ month <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
#> $ value <dbl> 0.681388, 0.407499, 0.441388, 0.435833, 0.301943, 0....
#> $ units <chr> "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "pp...
# Compute the SO2 1-hr CAAQS (3-yr rolling average of 1hr measures)
so2_3yr <- so2_3yr_caaqs(so2_sample_data, by = c("ems_id", "site"))
#> Calculating SO2 daily maximum
#> Calculating SO2 annual 99th percentile
#> Calculating SO2 1h CAAQS metric
glimpse(so2_3yr)
#> Observations: 8
#> Variables: 14
#> $ ems_id <chr> "0500886", "0500886", "0500886", "E229...
#> $ site <chr> "Kelowna College", "Kelowna College", ...
#> $ caaqs_year <dbl> 2013, 2014, 2015, 2013, 2013, 2014, 20...
#> $ min_year <dbl> 2013, 2013, 2013, 2013, 2013, 2013, 20...
#> $ max_year <dbl> 2013, 2014, 2015, 2013, 2013, 2014, 20...
#> $ n_years <dbl> 1, 2, 3, 0, 1, 2, 3, 0
#> $ metric <chr> "so2_3yr", "so2_3yr", "so2_3yr", "so2_...
#> $ metric_value <dbl> NA, 1.8, 1.8, NA, NA, 17.1, 17.1, NA
#> $ caaqs <ord> Insufficient Data, Achieved, Achieved,...
#> $ mgmt <ord> Insufficient Data, Actions for Keeping...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_daily_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_yearly_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_two_of_three_years <lgl> FALSE, TRUE, FALSE, FALSE, FALSE, TRUE...
# Compute the SO2 annual CAAQS (1-yr average across all hourly measures)
so2_1yr <- so2_1yr_caaqs(so2_sample_data, by = c("ems_id", "site"))
#> Calculating SO2 annual average CAAQS metric
glimpse(so2_1yr)
#> Observations: 8
#> Variables: 10
#> $ ems_id <chr> "0500886", "0500886", "0500886", "E2297...
#> $ site <chr> "Kelowna College", "Kelowna College", "...
#> $ caaqs_year <dbl> 2013, 2014, 2015, 2013, 2013, 2014, 201...
#> $ metric <chr> "so2_1yr", "so2_1yr", "so2_1yr", "so2_1...
#> $ metric_value <dbl> 0.4, 0.3, 0.4, NA, 0.9, 1.0, 1.0, NA
#> $ caaqs <ord> Achieved, Achieved, Achieved, Insuffici...
#> $ mgmt <ord> Actions for Keeping Clean Areas Clean, ...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALS...
#> $ flag_daily_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA
#> $ flag_yearly_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALS...
This is a simple example using the included sample data set for NO2.
# Look at the sample data:
glimpse(no2_sample_data)
#> Observations: 99,083
#> Variables: 8
#> $ ems_id <chr> "E231866", "E231866", "E231866", "E231866", "E231866...
#> $ site <chr> "Victoria Topaz", "Victoria Topaz", "Victoria Topaz"...
#> $ parameter <chr> "NO2", "NO2", "NO2", "NO2", "NO2", "NO2", "NO2", "NO...
#> $ date_time <dttm> 2013-01-01 00:00:00, 2013-01-01 01:00:00, 2013-01-0...
#> $ year <int> 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013...
#> $ month <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
#> $ value <dbl> 5.458333, 5.127500, 4.747499, 3.583333, 2.670833, 2....
#> $ units <chr> "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "ppb", "pp...
# Compute the NO2 1-hr CAAQS (3-yr rolling average of 1hr measures)
no2_3yr <- no2_3yr_caaqs(no2_sample_data, by = c("ems_id", "site"))
#> Calculating NO2 daily maximum
#> Calculating NO2 annual 98th percentile
#> Calculating NO2 1h CAAQS metric
glimpse(no2_3yr)
#> Observations: 12
#> Variables: 14
#> $ ems_id <chr> "0500886", "0500886", "0500886", "E229...
#> $ site <chr> "Kelowna College", "Kelowna College", ...
#> $ caaqs_year <dbl> 2013, 2014, 2015, 2013, 2014, 2015, 20...
#> $ min_year <dbl> 2013, 2013, 2013, 2013, 2013, 2013, 20...
#> $ max_year <dbl> 2013, 2014, 2015, 2013, 2014, 2015, 20...
#> $ n_years <dbl> 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3
#> $ metric <chr> "no2_3yr", "no2_3yr", "no2_3yr", "no2_...
#> $ metric_value <dbl> NA, 30.3, 30.3, NA, 26.4, 27.2, NA, 36...
#> $ caaqs <ord> Insufficient Data, Achieved, Achieved,...
#> $ mgmt <ord> Insufficient Data, Actions for Prevent...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_daily_incomplete <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FAL...
#> $ flag_yearly_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
#> $ flag_two_of_three_years <lgl> FALSE, TRUE, FALSE, FALSE, TRUE, FALSE...
# Compute the NO2 annual CAAQS (1-yr average across all hourly measures)
no2_1yr <- no2_1yr_caaqs(no2_sample_data, by = c("ems_id", "site"))
#> Calculating NO2 annual average CAAQS metric
glimpse(no2_1yr)
#> Observations: 12
#> Variables: 10
#> $ ems_id <chr> "0500886", "0500886", "0500886", "E2297...
#> $ site <chr> "Kelowna College", "Kelowna College", "...
#> $ caaqs_year <dbl> 2013, 2014, 2015, 2013, 2014, 2015, 201...
#> $ metric <chr> "no2_1yr", "no2_1yr", "no2_1yr", "no2_1...
#> $ metric_value <dbl> 5.9, 6.7, 7.1, 6.4, 5.8, 5.9, 9.0, 8.4,...
#> $ caaqs <ord> Achieved, Achieved, Achieved, Achieved,...
#> $ mgmt <ord> Actions for Preventing Air Quality Dete...
#> $ excluded <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALS...
#> $ flag_daily_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,...
#> $ flag_yearly_incomplete <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,...
You can view the CAAQS Achievement Levels as well as Management Levels
in the included data frames. These are used internally in
pm_annual_caaq() and pm_24hr_caaq() to assign metric values at each
station to the appropriate CAAQS Achievement Level and Management Level:
achievement_levels
#> # A tibble: 6 x 11
#> parameter labels lower_breaks upper_breaks units units_unicode
#> <chr> <chr> <dbl> <dbl> <chr> <chr>
#> 1 o3 Achieved 0 63 ppb ppb
#> 2 o3 Not Achieved 63 Inf ppb ppb
#> 3 pm2.5_annual Achieved 0 10 ug/m^3 μg/m³
#> 4 pm2.5_annual Not Achieved 10 Inf ug/m^3 μg/m³
#> 5 pm2.5_24h Achieved 0 28 ug/m^3 μg/m³
#> 6 pm2.5_24h Not Achieved 28 Inf ug/m^3 μg/m³
#> # ... with 5 more variables: units_html <chr>, val_labels <chr>,
#> # val_labels_html <chr>, val_labels_unicode <chr>, colour <chr>
management_levels
#> # A tibble: 12 x 11
#> parameter labels lower_breaks upper_breaks units units_unicode
#> <chr> <chr> <dbl> <dbl> <chr> <chr>
#> 1 o3 Actions for K… 0 50 ppb ppb
#> 2 o3 Actions for P… 50 56 ppb ppb
#> 3 o3 Actions for P… 56 63 ppb ppb
#> 4 o3 Actions for A… 63 Inf ppb ppb
#> 5 pm2.5_ann… Actions for K… 0 4 ug/m… μg/m³
#> 6 pm2.5_ann… Actions for P… 4 6.4 ug/m… μg/m³
#> 7 pm2.5_ann… Actions for P… 6.4 10 ug/m… μg/m³
#> 8 pm2.5_ann… Actions for A… 10 Inf ug/m… μg/m³
#> 9 pm2.5_24h Actions for K… 0 10 ug/m… μg/m³
#> 10 pm2.5_24h Actions for P… 10 19 ug/m… μg/m³
#> 11 pm2.5_24h Actions for P… 19 28 ug/m… μg/m³
#> 12 pm2.5_24h Actions for A… 28 Inf ug/m… μg/m³
#> # ... with 5 more variables: units_html <chr>, val_labels <chr>,
#> # val_labels_html <chr>, val_labels_unicode <chr>, colour <chr>
Project Status
The package is under active development.
Getting Help or Reporting an Issue
To report bugs/issues/feature requests, please file an issue.
How to Contribute
If you would like to contribute to the package, please see our CONTRIBUTING guidelines.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
License
Copyright 2015 Province of British Columbia
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
This repository is maintained by Environmental Reporting BC. Click here for a complete list of our repositories on GitHub.
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