apply_lrapa: Apply LRAPA Corrections

In gmcginnis/AirVizR: Visualization Tools for Air Quality Data

Description

Apply LRAPA correction factors to PurpleAir PM2.5 data. LRAPA established PM2.5 correction factors for PurpleAir's PM2.5 CF=ATM values. Unlike the EPA correction factors (apply_epa) which uses CF=1 PM2.5 values, the LRAPA correction factor uses CF=ATM values. More information on this variable can be found on the PurpleAir FAQ. It should also be noted that this correction factor might not apply to all airsheds, and was developed in Oregon, where (along with much of the Pacific Northwest) woodsmoke is a major contributor to PM2.5. Futhermore, this correction factor only reliably applies to PM2.5 values of ≤ 65 µg/m^3. For more information on the correction factor, see the LRAPA documentation.

Usage

apply_lrapa(dataset, by_day = TRUE, by_hour = FALSE, keep_cols = FALSE)

Arguments

dataset	The dataset for which to apply the correction factors to
by_day	Logical; average data by day
by_hour	Logical; average data by hour
keep_cols	Logical; Keep or disgard extra columns. If FALSE, only identifying columns and LRAPA-corrected columns will remain

Value

Dataframe with new column for LRAPA-corrected PM2.5:

pm25_lrapa

LRAPA-corrected PM2.5 value, calculated for values where PM2.5(CF=1) ≤ 65 µg/m^3 as 0.5 × PM2.5(CF=ATM) - 0.66

Source

https://www.lrapa.org/DocumentCenter/View/4147/PurpleAir-Correction-Summary

LRAPA documentation

See Also

Other PA functions: apply_corrections(), apply_epa(), apply_functions(), apply_qc()

Examples

apply_lrapa(july_api_full)
apply_lrapa(july_api_full, by_hour = TRUE, keep_cols = TRUE)

gmcginnis/AirVizR documentation built on Dec. 20, 2021, 11:49 a.m.