Deliberating performance targets workshop: Potential paths for emerging PM2.5 and O3 air sensor progress
The United States Environmental Protection Agency held an international two-day workshop in June 2018 to deliberate possible performance targets for non-regulatory fine particulate matter (PM 2.5 ) and ozone (O 3 ) air sensors. The need for a workshop arose from the lack of any market-wide manufactu...
Gespeichert in:
Veröffentlicht in: | Atmospheric Environment: X 2019-04, Vol.2, p.100031-100031, Article 100031 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The United States Environmental Protection Agency held an international
two-day workshop in June 2018 to deliberate possible performance targets for
non-regulatory fine particulate matter (PM
2.5
) and ozone
(O
3
) air sensors. The need for a workshop arose from the lack of
any market-wide manufacturer requirement for Ozone documented sensor performance
evaluations, the lack of any independent third party or government-based sensor
performance certification program, and uncertainty among all users as to the
general usability of air sensor data. A multi-sector subject matter expert panel
was assembled to facilitate an open discussion on these issues with multiple
stakeholders. This summary provides an overview of the workshop purpose, key
findings from the deliberations, and considerations for future actions specific
to sensors. Important findings concerning PM
2.5
and O
3
sensors included the lack of consistent performance indicators and statistical
metrics as well as highly variable data quality requirements depending on the
intended use. While the workshop did not attempt to yield consensus on any
topic, a key message was that a number of possible future actions would be
beneficial to all stakeholders regarding sensor technologies. These included
documentation of best practices, sharing quality assurance results along with
sensor data, and the development of a common performance target lexicon,
performance targets, and test protocols. |
---|---|
ISSN: | 2590-1621 2590-1621 |
DOI: | 10.1016/j.aeaoa.2019.100031 |