Learn How to Meet EPA, EU, and other Performance Targets

A Guide to Accurate Particulate Matter Measurements with Air Sensors

Learn how USEPA  performance standards help ensure accurate air sensor data

Air sensors are increasingly recognized as a valuable tool for indicative and non-regulatory supplemental and informational monitoring (NSIM). To support a broader understanding and more effective use of this technology, the USEPA recently released performance standards for air sensors will help to better characterize the performance of commercially available air sensors in a clear and standardized way. This guide provides more information on these performance metrics and best practices for collecting accurate data with low-cost sensors.

This guide will help you understand: 

  • What challenges currently exist for the broader use of low-cost sensors?
  • How can low-cost sensor performance be objectively evaluated?
  • What performance standards are in place for low-cost sensors, and what do they mean for networks employing these technologies?
  • What role does calibration play in optimizing low-cost sensor performance?
  • How can low-cost sensors be used effectively for non-regulatory supplemental and informational monitoring?

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Learn how to collect accurate air sensor measurements

  • Understand the USEPA, EU, and other performance standards

    Who are the organizations which have set forth performance metrics, and what do these metrics mean for the future of air quality monitoring? Why are performance standards important for low-cost air sensors?

    Explore these standards and the ways they help solve existing challenges for low-cost sensors in our guide.
  • Evaluate air sensor performance based on these metrics

    What evaluations can be carried out to assess low-cost air quality sensor performance? How can organizations address the challenges that exist for low-cost sensors and move forward with accurate air quality measurements?

    Our guide includes a checklist on how to carry out sensor performance evaluations.
  • Move forward with accurate, calibrated sensor data

    Why is calibration important to reaching these performance targets, and how does calibrated data from low-cost air quality sensors compare to other air quality monitoring measurements?


    More on the benefits of calibration and Clarity’s Remote Calibration model is included in our guide.

Toward the adoption of performance standards for low-cost air sensors

Learn more about our Remote Calibration

Clarity’s Remote Calibration model ensures that decision-making is based on accurate data that is calibrated for the unique conditions of the monitoring site, while also reducing the operational costs of the traditional calibration process. Remote Calibration allows for ongoing data calibration over the course of a monitoring project, keeping accurate data a long-term priority.
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  • Meiling Gao (Moderator)

    Chief Operating Officer

    Clarity Movement Co.

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  • Bill Magavern

    Policy Director

    Coalition for Clean Air

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  • Meiling Gao (Moderator)

    Chief Operating Officer

    Clarity Movement Co.

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  • Bill Magavern

    Policy Director

    Coalition for Clean Air

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Guide includes best practices from: 

  • London

    The Greater London Authority (GLA) funded more than 100 sensors to complement the existing, dense network of reference monitors in London. This network has revolutionized Londoners’ access to reliable air quality data and provides GLA higher-resolution data.
  • Paris

    150 low-cost sensors were installed at schools across Paris in September 2019 to provide new information and insights on air quality. The data is collected, analyzed, and integrated into the existing air quality monitoring and mapping system operated by Airparif.
  • Bangalore

    A building in the city of Bengaluru, which is using Clarity Nodes to measure its levels of fine particulate matter
    The Global Climate Health Alliance (GCHA), the Health and Environment Alliance (HEAL), and the Healthy Air Coalition installed 30 indicative air quality monitors across the city in 2019. The network was deployed at strategic locations to gain actionable, local data.