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
Article Menu

Export Article

Open AccessArticle
Sensors 2018, 18(12), 4314; https://doi.org/10.3390/s18124314

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

1
Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
2
National Exposure Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
3
DISUR, Inc., Ponce, PR 00716, USA
4
U.S. Environmental Protection Agency, Region 2, Caribbean Environmental Protection Division, Guaynabo, PR 00968-8069, USA
5
Region 2, U.S. Environmental Protection Agency, 290 Broadway, New York, NY 10007-1866, USA
6
Region 2, U.S. Environmental Protection Agency, Edison, NJ 08837-3679, USA
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).
*
Author to whom correspondence should be addressed.
Received: 25 October 2018 / Revised: 28 November 2018 / Accepted: 4 December 2018 / Published: 7 December 2018
Full-Text   |   PDF [4547 KB, uploaded 7 December 2018]   |  

Abstract

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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top