Cargando…

Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM(2.5) Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA

PM(2.5) is an air pollutant that is widely associated with adverse health effects, and which tends to be disproportionately located near low-income communities and communities of color. We applied a community-engaged research approach to assess the distribution of PM(2.5) concentrations in the conte...

Descripción completa

Detalles Bibliográficos
Autores principales: Masri, Shahir, Cox, Kathryn, Flores, Leonel, Rea, Jose, Wu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523797/
https://www.ncbi.nlm.nih.gov/pubmed/36187445
http://dx.doi.org/10.3390/atmos13020304
_version_ 1784800365741342720
author Masri, Shahir
Cox, Kathryn
Flores, Leonel
Rea, Jose
Wu, Jun
author_facet Masri, Shahir
Cox, Kathryn
Flores, Leonel
Rea, Jose
Wu, Jun
author_sort Masri, Shahir
collection PubMed
description PM(2.5) is an air pollutant that is widely associated with adverse health effects, and which tends to be disproportionately located near low-income communities and communities of color. We applied a community-engaged research approach to assess the distribution of PM(2.5) concentrations in the context of community concerns and urban features within and around the city of Santa Ana, CA. Approximately 183 h of one-minute average PM(2.5) measurements, along with high-resolution geographic coordinate measurements, were collected by volunteer community participants using roughly two dozen low-cost AtmoTube Pro air pollution sensors paired with real-time GPS tracking devices. PM(2.5) varied by region, time of day, and month. In general, concentrations were higher near the city’s industrial corridor, which is an area of concern to local community members. While the freeway systems were shown to correlate with some degree of elevated air pollution, two of four sampling days demonstrated little to no visible association with freeway traffic. Concentrations tended to be higher within socioeconomically disadvantaged communities compared to other areas. This pilot study demonstrates the utility of using low-cost air pollution sensors for the application of community-engaged study designs that leverage community knowledge, enable high-density air monitoring, and facilitate greater health-related awareness, education, and empowerment among communities. The mobile air-monitoring approach used in this study, and its application to characterize the ambient air quality within a defined geographic region, is in contrast to other community-engaged studies, which employ fixed-site monitoring and/or focus on personal exposure. The findings from this study underscore the existence of environmental health inequities that persist in urban areas today, which can help to inform policy decisions related to health equity, future urban planning, and community access to resources.
format Online
Article
Text
id pubmed-9523797
institution National Center for Biotechnology Information
language English
publishDate 2022
record_format MEDLINE/PubMed
spelling pubmed-95237972022-09-30 Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM(2.5) Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA Masri, Shahir Cox, Kathryn Flores, Leonel Rea, Jose Wu, Jun Atmosphere (Basel) Article PM(2.5) is an air pollutant that is widely associated with adverse health effects, and which tends to be disproportionately located near low-income communities and communities of color. We applied a community-engaged research approach to assess the distribution of PM(2.5) concentrations in the context of community concerns and urban features within and around the city of Santa Ana, CA. Approximately 183 h of one-minute average PM(2.5) measurements, along with high-resolution geographic coordinate measurements, were collected by volunteer community participants using roughly two dozen low-cost AtmoTube Pro air pollution sensors paired with real-time GPS tracking devices. PM(2.5) varied by region, time of day, and month. In general, concentrations were higher near the city’s industrial corridor, which is an area of concern to local community members. While the freeway systems were shown to correlate with some degree of elevated air pollution, two of four sampling days demonstrated little to no visible association with freeway traffic. Concentrations tended to be higher within socioeconomically disadvantaged communities compared to other areas. This pilot study demonstrates the utility of using low-cost air pollution sensors for the application of community-engaged study designs that leverage community knowledge, enable high-density air monitoring, and facilitate greater health-related awareness, education, and empowerment among communities. The mobile air-monitoring approach used in this study, and its application to characterize the ambient air quality within a defined geographic region, is in contrast to other community-engaged studies, which employ fixed-site monitoring and/or focus on personal exposure. The findings from this study underscore the existence of environmental health inequities that persist in urban areas today, which can help to inform policy decisions related to health equity, future urban planning, and community access to resources. 2022-02 2022-02-11 /pmc/articles/PMC9523797/ /pubmed/36187445 http://dx.doi.org/10.3390/atmos13020304 Text en https://creativecommons.org/licenses/by/4.0/This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Masri, Shahir
Cox, Kathryn
Flores, Leonel
Rea, Jose
Wu, Jun
Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM(2.5) Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA
title Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM(2.5) Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA
title_full Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM(2.5) Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA
title_fullStr Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM(2.5) Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA
title_full_unstemmed Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM(2.5) Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA
title_short Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM(2.5) Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA
title_sort community-engaged use of low-cost sensors to assess the spatial distribution of pm(2.5) concentrations across disadvantaged communities: results from a pilot study in santa ana, ca
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523797/
https://www.ncbi.nlm.nih.gov/pubmed/36187445
http://dx.doi.org/10.3390/atmos13020304
work_keys_str_mv AT masrishahir communityengageduseoflowcostsensorstoassessthespatialdistributionofpm25concentrationsacrossdisadvantagedcommunitiesresultsfromapilotstudyinsantaanaca
AT coxkathryn communityengageduseoflowcostsensorstoassessthespatialdistributionofpm25concentrationsacrossdisadvantagedcommunitiesresultsfromapilotstudyinsantaanaca
AT floresleonel communityengageduseoflowcostsensorstoassessthespatialdistributionofpm25concentrationsacrossdisadvantagedcommunitiesresultsfromapilotstudyinsantaanaca
AT reajose communityengageduseoflowcostsensorstoassessthespatialdistributionofpm25concentrationsacrossdisadvantagedcommunitiesresultsfromapilotstudyinsantaanaca
AT wujun communityengageduseoflowcostsensorstoassessthespatialdistributionofpm25concentrationsacrossdisadvantagedcommunitiesresultsfromapilotstudyinsantaanaca