AAAR 37th Annual Conference October 14 - October 18, 2019 Oregon Convention Center Portland, Oregon, USA
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Field Evaluation and Calibration of a Six-Parameter Low-Cost Sensor System in Northwestern and Southeastern US
Yi Li, HAOFEI YU, Zack Fregin, SailBri Cooper Inc
Abstract Number: 620 Working Group: Air Quality Sensors: Low-cost != Low Complexity
Abstract The fast-evolving low-cost sensor systems are enabling new possibilities for detailed characterization of the spatial distributions of air pollution concentrations. In this study, we evaluated the performances of the SCI-608 sensor system at two locations in the US with distinct climate conditions: Portland, OR and Orlando, FL. This integrated system simultaneously measures ambient concentrations of six common air pollutants: CO, NO2, SO2, O3, PM2.5, and PM10. In addition to compare raw sensor measurement data with data as measured by reference instruments, we also performed sensor calibrations using multiple methods including the build-in multiple regression method, and machine learning approaches. Preliminary results suggest the SCI-608 sensor system performed well with coefficients of determination (R2) exceed 0.9 between hourly PM2.5, O3 and CO concentrations collected from sensor and reference instruments at the Portland site. Our results substantiated the potentials for using this sensor system to construct a connected and distributed air quality monitoring network.