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Right now we support the US EPA conversion, and no conversion. We could support the full list of conversions supported by PurpleAir. This is from their website:
Conversions help accomodate different types of pollution with different particle densities.
For the same reason that wood floats and rocks sink in water, different particles have different densities - for example wild fire smoke vs road dust in the air. This is why a conversion may be needed when calculating the mass of any combination of particulates derived from particle counts.
None: No conversion applied to the data
US EPA: Courtesy of the United States Environmental Protection Agency Office of Research and Development, correction equation from their US wide study validated for wildfire and woodsmoke.
0-250 ug/m3 range (>250 may underestimate true PM2.5):
PM2.5 (µg/m³) = 0.534 x PA(cf_1) - 0.0844 x RH + 5.604
AQandU: Courtesy of the University of Utah, conversion factors from their study of the PA sensors during winter in Salt Lake City. Visit their web site.
PM2.5 (µg/m³) = 0.778 x PA + 2.65
LRAPA: Courtesy of the Lane Regional Air Protection Agency, conversion factors from their study of the PA sensors. Visit their web site.
0 - 65 µg/m³ range:
LRAPA PM2.5 (µg/m³) = 0.5 x PA (PM2.5 CF=ATM) – 0.66
WOODSMOKE: From a study in Australia comparing Purple Air with NSW Government TEOM PM2.5 and Armidale Regional Council's DustTrak measurements - see published peer-reviewed study - https://www.mdpi.com/2073-4433/11/8/856/htm.
Woodsmoke PM2.5 (µg/m³) = 0.55 x PA (PM2.5 CF=1) + 0.53
We already have the data for most of these, I think (and we could always pull and store more data, but that will be a bit more work). Adding a new conversion once we have the data is easy: you can just add a new case to the ConversionStrategy enumeration in airq.lib.readings.
Right now we support the US EPA conversion, and no conversion. We could support the full list of conversions supported by PurpleAir. This is from their website:
We already have the data for most of these, I think (and we could always pull and store more data, but that will be a bit more work). Adding a new conversion once we have the data is easy: you can just add a new case to the
ConversionStrategy
enumeration inairq.lib.readings
.