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Evaluating the Performance of Multi-Pollutant Sensor Pods in Biomass Combustion Smoke Apil 2020
Citation:
Landis, M., R. Long, A. Habel, S. Urbanski, AND J. Perth. Evaluating the Performance of Multi-Pollutant Sensor Pods in Biomass Combustion Smoke Apil 2020. International Association of Wildland Fire Smoke Symposium, Raleigh, NC, April 20 - 24, 2020.
Impact/Purpose:
Emerging technologies including miniaturized direct-reading sensors, compact microprocessors, and wireless data communications provide new opportunities to detect and quantify air pollution in real time. USEPA and USFS share the desire to advance wildland fire air measurement technology to be easier to deploy, suitable to use for high concentration events, durable to withstand difficult field conditions, with the ability to report accurate high-time resolution data continuously and wirelessly. Several commercially available sensor pods along with multiple sensor prototypes capable of measuring PM2.5, CO, CO2, NO2, and O3 during wildfire episodes were evaluated over a large dynamic range of smoke concentrations. Evaluations were conducted in the USFS Missoula Fire Sciences Laboratory combustion chamber and during response operations on the MP-97 (Oregon) and Williams Flats (Washington) wildfire events in 2019. Sensor performance characteristics including accuracy, precision, linearity, operability, and data telemetry will be presented and discussed.
Description:
Abstract for submission to the International Association of Wildland Fire Smoke Symposium, Raleigh, NC, April 20-24, 2020