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Advancements in Near-source Emission Assessment Tools
Citation:
MacDonald, M., E. Thoma, I. George, AND R. Duvall. Advancements in Near-source Emission Assessment Tools. EPA 2022 National Ambient Air Monitoring Conference, Pittsburgh, PA, August 22 - 25, 2022.
Impact/Purpose:
This is an abstract for poster presentation at EPA’s 2022 National Ambient Air Monitoring Conference in Pittsburgh, PA, August 22-25, 2022. EPA’s Next Generation Emission Measurement (NGEM) program conducts research and development on new forms of mobile and stationary air quality measurements that can be used near sources of pollution to better understand and control certain types of emissions and help reduce impacts to nearby populations. This poster presents recent developments in fenceline and leak detection sensor approaches and a new citizen science mobile application called EPA Odor Explore. The poster includes 7 quick response (QR) codes that provide detailed information on the topics presented.
Description:
EPA’s Next Generation Emission Measurement (NGEM) program conducts research and development on new forms of mobile and stationary air quality measurements that can be used near sources of pollution to better understand and control certain types of emissions and help reduce impacts to nearby populations. This poster presents recent developments in fenceline and leak detection sensor approaches and a new citizen science mobile application called EPA Odor Explore. Current research concentrates on non-speciated volatile organic compound (VOC) measurements collected by passively ventilated and temperature-stabilized 10.6 eV photoionization detectors. These sensor pods (SPods) record time-synchronized wind and VOC concentration data at 1 Hz frequency and can trigger canister samples for speciated laboratory analysis. An overview of the development of an open-source, automated data analysis system necessary to transform these data into usable information is included. This analysis system includes a baseline correction approach that assists with isolation of emission plume detection signatures, the aggregation and automated quality assurance (QA) processing of high frequency data to generate spatially resolved source location data, and statistically based detection limit calculation. The poster includes 7 quick response (QR) codes that provide detailed information on the topics presented.