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Spatial-Temporal Analysis of PM(2.5) and NO(2) Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico †

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 a...

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Autores principales: Reece, Stephen, Williams, Ron, Colón, Maribel, Southgate, David, Huertas, Evelyn, O’Shea, Marie, Iglesias, Ariel, Sheridan, Patricia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308536/
https://www.ncbi.nlm.nih.gov/pubmed/30544516
http://dx.doi.org/10.3390/s18124314
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author Reece, Stephen
Williams, Ron
Colón, Maribel
Southgate, David
Huertas, Evelyn
O’Shea, Marie
Iglesias, Ariel
Sheridan, Patricia
author_facet Reece, Stephen
Williams, Ron
Colón, Maribel
Southgate, David
Huertas, Evelyn
O’Shea, Marie
Iglesias, Ariel
Sheridan, Patricia
author_sort Reece, Stephen
collection PubMed
description 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 (PM(2.5)) and nitrogen dioxide (NO(2)) sensors and distributed across eight locations with four collocated weather stations to measure local meteorological parameters. During this deployment 1 h average concentrations of PM(2.5) and NO(2) ranged between 0.3 to 33.6 µg/m(3) and 1.3 to 50.6 ppb, respectively. Peak concentrations were observed for both PM(2.5) and NO(2) 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.
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spelling pubmed-63085362019-01-04 Spatial-Temporal Analysis of PM(2.5) and NO(2) Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico † Reece, Stephen Williams, Ron Colón, Maribel Southgate, David Huertas, Evelyn O’Shea, Marie Iglesias, Ariel Sheridan, Patricia Sensors (Basel) Article 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 (PM(2.5)) and nitrogen dioxide (NO(2)) sensors and distributed across eight locations with four collocated weather stations to measure local meteorological parameters. During this deployment 1 h average concentrations of PM(2.5) and NO(2) ranged between 0.3 to 33.6 µg/m(3) and 1.3 to 50.6 ppb, respectively. Peak concentrations were observed for both PM(2.5) and NO(2) 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. MDPI 2018-12-07 /pmc/articles/PMC6308536/ /pubmed/30544516 http://dx.doi.org/10.3390/s18124314 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Reece, Stephen
Williams, Ron
Colón, Maribel
Southgate, David
Huertas, Evelyn
O’Shea, Marie
Iglesias, Ariel
Sheridan, Patricia
Spatial-Temporal Analysis of PM(2.5) and NO(2) Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico †
title Spatial-Temporal Analysis of PM(2.5) and NO(2) Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico †
title_full Spatial-Temporal Analysis of PM(2.5) and NO(2) Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico †
title_fullStr Spatial-Temporal Analysis of PM(2.5) and NO(2) Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico †
title_full_unstemmed Spatial-Temporal Analysis of PM(2.5) and NO(2) Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico †
title_short Spatial-Temporal Analysis of PM(2.5) and NO(2) Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico †
title_sort spatial-temporal analysis of pm(2.5) and no(2) concentrations collected using low-cost sensors in peñuelas, puerto rico †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308536/
https://www.ncbi.nlm.nih.gov/pubmed/30544516
http://dx.doi.org/10.3390/s18124314
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