AAAR 35th Annual Conference October 17 - October 21, 2016 Oregon Convention Center Portland, Oregon, USA
Abstract View
ARISense - Enabling Air Pollution Measurements with Low(er)-cost AQ Sensor Technologies
EBEN CROSS, Gregory Magoon, Timothy Onasch, David Hagan, Jesse Kroll, Leah Williams, Gary Adamkiewicz, Ann Backus, Douglas Worsnop, John Jayne, Aerodyne Research, Inc.
Abstract Number: 601 Working Group: Instrumentation and Methods
Abstract The environments in which we live, work, breathe, and play are subject to enormous variability in air pollutant concentrations. To adequately capture and characterize one’s air quality, measurements must be fast (real-time), scalable (ubiquitous), and reliable (with known accuracy, precision, and stability over time). Low-cost AQ sensor technologies offer new opportunities for fast and distributed measurements, but a persistent characterization gap remains when it comes to evaluating sensor performance. This limits our ability to inform stakeholders about pollution sources and inspire policy makers to act. ARISense is an ongoing research endeavor focused on evaluation and development of low-cost AQ sensor technologies. In this presentation, we will describe results from laboratory and field measurements obtained with low-cost sensor systems comprised of electrolytic and optical sensors for measurement of criteria gas phase (NO, NO2, CO, O3, CO2) and particulate pollution. Results from the Dorchester Air Quality Sensor System (DAQSS) in the south Boston community of Dorchester will be discussed. DAQSS provides an opportunity to assess sensor-derived pollutant concentrations, characterize the long-term (12-18 mo.) stability of the sensors, and improve our understanding of the interference resulting from relative humidity, temperature, and other gas phase pollutant species. The importance of developing mathematical descriptions of the sensor interference surface (obtained from real-world co-location datasets) will be demonstrated.