Next Article in Journal
A Fast Calibration Method for Phased Arrays by Using the Graph Coloring Theory
Previous Article in Journal
A Novel Framework for Road Traffic Risk Assessment with HMM-Based Prediction Model
Previous Article in Special Issue
Integration of Autonomous Wireless Sensor Networks in Academic School Gardens
Open AccessArticle

Spatial-Temporal Analysis of PM2.5 and NO2 Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico

Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
National Exposure Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
DISUR, Inc., Ponce, PR 00716, USA
U.S. Environmental Protection Agency, Region 2, Caribbean Environmental Protection Division, Guaynabo, PR 00968-8069, USA
Region 2, U.S. Environmental Protection Agency, 290 Broadway, New York, NY 10007-1866, USA
Region 2, U.S. Environmental Protection Agency, Edison, NJ 08837-3679, USA
Author to whom correspondence should be addressed.
This paper is an extended version of our conference paper published in Reece, S., Williams, R.; Colón, M.; Huertas, E.; O’Shea, M.; Sheridan, P.; Southgate, D.; Portuondo, G.; Díaz, N.; Wyrzykowska, B. “Low Cost Air Quality Sensor Deployment and Citizen Science: The Peñuelas Project.” Proceedings of 4th International Electronic Conference on Sensors and Applications, MDPI AG, 10.3390/ecsa-4-04937 (15–30 November 2017).
Sensors 2018, 18(12), 4314;
Received: 25 October 2018 / Revised: 28 November 2018 / Accepted: 4 December 2018 / Published: 7 December 2018
The U.S. Environmental Protection Agency (EPA) is involved in the discovery, evaluation, and application of low-cost air quality (AQ) sensors to support citizen scientists by directly engaging with them in the pursuit of community-based interests. The emergence of low-cost (<$2500) sensors have allowed a wide range of stakeholders to better understand local AQ conditions. Here we present results from the deployment of the EPA developed Citizen Science Air Monitor (CSAM) used to conduct approximately five months (October 2016–February 2017) of intensive AQ monitoring in an area of Puerto Rico (Tallaboa-Encarnación, Peñuelas) with little historical data on pollutant spatial variability. The CSAMs were constructed by combining low-cost particulate matter size fraction 2.5 micron (PM2.5) and nitrogen dioxide (NO2) sensors and distributed across eight locations with four collocated weather stations to measure local meteorological parameters. During this deployment 1 h average concentrations of PM2.5 and NO2 ranged between 0.3 to 33.6 µg/m3 and 1.3 to 50.6 ppb, respectively. Peak concentrations were observed for both PM2.5 and NO2 when conditions were dominated by coastal-originated winds. These results advanced the community’s understanding of pollutant concentrations and trends while improving our understanding of the limitations and necessary procedures to properly interpret measurements produced by low-cost sensors. View Full-Text
Keywords: Low-cost sensors; air quality; citizen science; Puerto Rico Low-cost sensors; air quality; citizen science; Puerto Rico
Show Figures

Figure 1

MDPI and ACS Style

Reece, S.; Williams, R.; Colón, M.; Southgate, D.; Huertas, E.; O’Shea, M.; Iglesias, A.; Sheridan, P. Spatial-Temporal Analysis of PM2.5 and NO2 Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico. Sensors 2018, 18, 4314.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop