EPA Quality Assurance for Air Sensors: Planning More Dependable Measurements
USEFUL SOURCES · OFFICIAL TECHNICAL RESOURCE · OCTOBER 2026
Good sensor data requires a plan for how instruments will be installed, checked, maintained and interpreted—not simply turning devices on.
What Is This Resource?
EPA discusses quality assurance project plans and quality control activities for sensor projects. Topics include project goals, personnel responsibilities, siting, calibration, data review, maintenance and documentation.
What You Can Find There
- Quality Assurance Project Plan (QAPP) topics and examples.
- Verification, validation and calibration considerations.
- Practical quality control checks for sensor data.
- Advice on maintenance, records and troubleshooting.
How to Use It in Practice
Write down the decision the measurements must support and define acceptable data quality. Specify calibration checks, maintenance intervals and how missing or anomalous readings will be flagged. Preserve configuration changes and time-zone information so trends can be reproduced.
Why It Matters for AirAlign
Especially useful for AirAlign’s potential data dashboards and multi-site monitoring work: a dashboard is only as meaningful as the quality and provenance of the measurements behind it.
Automated outlier detection may flag true pollution episodes or miss drift. The exact QA program must fit the intended measurement, instrument and project risks.
Related Reading
Related reading includes EPA’s Air Sensor Collocation resources and the Enhanced Guidebook.
Official Reference
United States Environmental Protection Agency (EPA) — Official source →
AirAlign independent resource overview. Last researched 13 October 2026. Source availability and content can change; original provider materials remain authoritative.
