Interpreting Mobile and Handheld Air Sensor Readings in Relation to Air Quality Standards and Health Effect Reference Values: Tackling the Challenges Article Swipe
YOU?
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· 2017
· Open Access
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· DOI: https://doi.org/10.3390/atmos8100182
The US Environmental Protection Agency (EPA) and other federal agencies face a number of challenges in interpreting and reconciling short-duration (seconds to minutes) readings from mobile and handheld air sensors with the longer duration averages (hours to days) associated with the National Ambient Air Quality Standards (NAAQS) for the criteria pollutants-particulate matter (PM), ozone, carbon monoxide, lead, nitrogen oxides, and sulfur oxides. Similar issues are equally relevant to the hazardous air pollutants (HAPs) where chemical-specific health effect reference values are the best indicators of exposure limits; values which are often based on a lifetime of continuous exposure. A multi-agency, staff-level Air Sensors Health Group (ASHG) was convened in 2013. ASHG represents a multi-institutional collaboration of Federal agencies devoted to discovery and discussion of sensor technologies, interpretation of sensor data, defining the state of sensor-related science across each institution, and provides consultation on how sensors might effectively be used to meet a wide range of research and decision support needs. ASHG focuses on several fronts: improving the understanding of what hand-held sensor technologies may be able to deliver; communicating what hand-held sensor readings can provide to a number of audiences; the challenges of how to integrate data generated by multiple entities using new and unproven technologies; and defining best practices in communicating health-related messages to various audiences. This review summarizes the challenges, successes, and promising tools of those initial ASHG efforts and Federal agency progress on crafting similar products for use with other NAAQS pollutants and the HAPs. NOTE: The opinions expressed are those of the authors and do not necessary represent the opinions of their Federal Agencies or the US Government. Mention of product names does not constitute endorsement.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/atmos8100182
- https://www.mdpi.com/2073-4433/8/10/182/pdf?version=1506335400
- OA Status
- gold
- Cited By
- 56
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2757696053
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2757696053Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/atmos8100182Digital Object Identifier
- Title
-
Interpreting Mobile and Handheld Air Sensor Readings in Relation to Air Quality Standards and Health Effect Reference Values: Tackling the ChallengesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-09-21Full publication date if available
- Authors
-
George Woodall, Mark D. Hoover, Ronald Williams, Kristen Benedict, Martin Harper, Jhy‐Charm Soo, Annie M. Jarabek, Michael J. Stewart, James S. Brown, Janis Hulla, Motria Caudill, Andrea L. Clements, Amanda Kaufman, A. Parker, M.H. Keating, David M. Balshaw, Kevin Garrahan, Laureen Burton, Sheila Batka, Vijay S. Limaye, Pertti J. Hakkinen, Bob ThompsonList of authors in order
- Landing page
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https://doi.org/10.3390/atmos8100182Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-4433/8/10/182/pdf?version=1506335400Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2073-4433/8/10/182/pdf?version=1506335400Direct OA link when available
- Concepts
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National Ambient Air Quality Standards, Agency (philosophy), Air quality index, Clean Air Act, Computer science, Criteria air contaminants, Environmental science, Telecommunications, Air pollutants, Air pollution, Meteorology, Geography, Sociology, Organic chemistry, Chemistry, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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56Total citation count in OpenAlex
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2025: 3, 2024: 3, 2023: 10, 2022: 8, 2021: 9Per-year citation counts (last 5 years)
- References (count)
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43Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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