Bi et al.: Characterizing outdoor infiltration and indoor contribution of PM2.5 with PurpleAir data

Bi, J., Wallace, L. A., Sarnat, J. A., & Liu, Y. (2021). Characterizing outdoor infiltration and indoor contribution of PM2.5 with citizen-based low-cost monitoring data. Environmental Pollution, 276, 116763. ResearchGate (full text): Link       Elsevier: Link Research in quantifying infiltration factors (Finf), the fraction of outdoor PM2.5 that infiltrates indoors, has...

Bi et al.: Incorporating low-cost sensor data into large-scale, high-resolution PM2.5 modeling

Incorporating Low-Cost Sensor Measurements into High-Resolution PM2.5 Modeling at a Large Spatial Scale A spatially varying calibration and a down-weighting strategy have been proposed to incorporate volunteer-generated low-cost air quality data from PurpleAir sensors into large-scale PM2.5 exposure assessment while minimizing the negative impacts of their significant uncertainty. The inclusion...

Bi et al.: Contribution of low-cost sensor measurements to the prediction of PM2.5 levels

Contribution of low-cost sensor measurements to the prediction of PM2.5 levels: A case study in Imperial County, California, USA Regulatory monitoring networks are often too sparse to support community-scale PM2.5 exposure assessment, while emerging low-cost sensors have the potential to fill in the gaps. In this study, the contribution of low-cost sensor measurements to high-resolution PM2.5...