10th International Aerosol Conference September 2 - September 7, 2018 America's Center Convention Complex St. Louis, Missouri, USA
Abstract View
Improving Quantification Methods for Long-term (24-36 mo.) Low-cost Air Quality Sensor System Deployments
EBEN CROSS, David Hagan, Leah Williams, Jesse Kroll, John Jayne, Aerodyne Research, Inc.
Abstract Number: 1666 Working Group: Low-Cost and Portable Sensors
Abstract Low-cost air quality sensor systems have developed rapidly over the last few years and offer the opportunity to make multi-pollutant air quality monitoring inexpensive and widespread. However, sensors are often unable to deliver accurate, reliable data over extended periods of time due to a lack of understanding of what parameters impact performance and how best to model this interference. This presentation will describe improved calibration model development for electrochemical sensors measuring CO, NO, NO2, and O3 utilizing realistically constrained/accelerated laboratory calibration chamber experiments and long-term (24-month) sensor-to-reference co-location field deployments. Model results from various machine learning techniques will be inter-compared with the goal of identifying a robust calibration approach for ambient air quality monitoring applications.