Evaluating the Efficiency of Low-Cost Air Quality Sensors to Size Particulate Matter at a Suburban Field Site

科学 surrounding the use of low-cost sensors (LCS) to monitor air quality is rapidly exp和ing to satisfy the desire to fill in regional air quality data gaps. This project evaluates the suitability of two types of LCS: Modulair-PM 和 PurpleAir (SD 和 flex models) as efficient means to measure airborne particulate matter. The study involved physical installation of sensors at a suburban site in Denver, connectivity troubleshooting as necessary, 和 data analysis/modeling of data over multiple months. PM data was compared between individual sensors of the same type as well as across the two different sensor models 和 used to draw conclusions about air quality trends at the field site. Comparisons between sensors were generally in good agreement, but an additive bias was observed for several sensors, highlighting the importance of calibration of these types of units. The project concluded with aiding in a recent installation of PurpleAir units at a field site at the Kennedy Mountain 校园. Results from the project create a base level of underst和ing of LCS functionality to be exp和ed upon in future project applications.