Air pollution (PM2.5, Temp, and RH) measurement data from low-cost sensors
Air pollution (PM2.5, Temp, and RH) measurement data from low-cost sensors
The utilization of portable, low-cost sensors in comparison to bulkier, more traditional methods of air pollution monitoring (i.e., regulatory or research-grade instruments) allows for finer spatial coverage of air pollutant concentrations. In this data set, we capture fine particulate matter (PM2.5) concentrations in six locations in both Minneapolis, MN. and Atlanta, GA. between Oct. 2016 and April 2018.
Key Highlights
1. PM2.5, relative humidity, and temperature data from six locations in Minneapolis and Atlanta using low-cost PM sensors.
2. All parameters data is calibrated by co-location with a regulatory-grade instrument.
Technical Details
Excel
Citation
Lal, RM., Das, KV., Fan, Y., Barkjohn, KK., Botchwey, NB., Ramaswami, A., Russell, AG. (accepted). Connecting Air Quality with Emotional Well-Being and Neighborhood Infrastructure in a US city. Environmental Health Insights
Johnson, K. K., Bergin, M. H., Russell, A.G. & Hagler, GSW (2018) Field Test of Several Low-cost particulate matters sensors in high and low concentration urban environment. Aerosol and Air Quality Research, 18(3), 565-578. Doi: 10.4209/aaqr.2017.10.0418
Publications
None
Authors
In order to access the data, contact these authors.
Raj Lal : rlal6@gatech.edu
Ted Russell: ted.russell@gatech.edu
