Our work encompasses the analysis of ambient air pollutants using reference- or research-grade instruments and low-cost sensors. We go beyond PM mass concentrations to investigate aerosol composition with state-of-the-art filter-based laboratory analysis and in-situ instrumentation. Our expertise in the proper, science-guided use of these techniques is obtained by conducting field campaigns, source apportionment studies, and systematic evaluations of low-cost sensors, as well as literature reviews. We share this knowledge with the wider community through capacity-building workshops, data portals, and scientific publications. Our data are used to inform policy and support model development.
Bias in PM2.5 measurements using collocated reference-grade and optical instruments
Optical PM2.5 measurements are sensitive to aerosol properties that can vary with space and time. Here, we compared PM2.5 measurements from collocated reference-grade (beta attenuation monitors, BAMs) and optical instruments (two DustTrak II and two DustTrak DRX) over 6 months. We performed inter-model (two different models), intra-model (two units of the same model), and inter-type (two different device types: optical vs. reference-grade) comparisons under ambient conditions.
Best Practices for Deploying and Maintaining a Low-Cost PM2.5 Sensor Network
Strategically placed sensors can monitor air pollution and provide a detailed picture of air quality and its variability within a region. Low-cost sensors (LCSs) that measure PM2.5 are becoming increasingly popular because of their low cost, ease of use, and portability. However, the portability and low cost come with trade-offs on data quality, reliability, and shelf life. The typical shelf life of LCSs is around a year to two. Also, the raw data from these LCSs need to be calibrated. This report documents the best practices for establishing and maintaining an LCS network.