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The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS): Integration of Low-Cost Sensors and Reference Grade Monitoring in a Complex Metropolitan Area. Part 1: Overview of the Project
Citation:
Kimbrough, Sue, S. Krabbe, R. Baldauf, T. Barzyk, M. Brown, S. Brown, C. Croghan, M. Davis, P. Deshmukh, R. Duvall, S. Feinberg, V. Isakov, R. Logan, T. McArthur, AND A. Shields. The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS): Integration of Low-Cost Sensors and Reference Grade Monitoring in a Complex Metropolitan Area. Part 1: Overview of the Project. Chemosensors. MDPI, Basel, Switzerland, 7(2):26, (2019). https://doi.org/10.3390/chemosensors7020026
Impact/Purpose:
Adverse human health effects including cardiovascular, respiratory, and premature mortality occurrences are linked to human exposures to ambient concentrations of particulate matter (PM), including particulate matter with aerodynamic diameter of 2.5 µm or less (PM2.5). Anthropogenic sources of PM2.5 include stationary source fuel combustion, industrial processes, and mobile (transportation) sources. As urbanization continues throughout the world more of the population will be engaging in normal day-to-day activities while living near major transportation sources that may be significant sources of PM including PM2.5 and black carbon (BC). Rail yards are a major transportation sector with complex emission sources that usually have other, supporting activities and industries with emission adjacent or near-by that can complicate source characterization studies. This paper focuses on the design of an emissions source characterization research project—The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS). The goal of the study is to evaluate spatial and meteorological effects of PM2.5 and BC pollutants on potential population exposures in a near-source environment. The research study has multiple unique characteristics including a 1-year duration, site-specific meteorological data, measurement of multiple air pollutant species, usage of traditional sampling methods and instrumentation, lower-cost sensor packages, citizen science and mobile measurement techniques. Data presented are from October 24, 2017 to the July 31, 2018.
Description:
Adverse human health effects including cardiovascular and respiratory effects and premature mortality are linked to human exposures to ambient concentrations of particulate matter (PM), including particulate matter with aerodynamic diameter of 2.5 µm or less (PM2.5). Anthropogenic sources of PM2.5 include stationary source fuel combustion, industrial processes, and mobile (transportation) sources. As urbanization continues throughout the world, more of the population will be engaging in normal day-to-day activities while living near major transportation facilities that may be significant sources of PM including PM2.5 and black carbon (BC). Rail yards are a major transportation sector with complex emission sources that usually have adjacent or nearby supporting activities and industries, with their own associated emissions, that can complicate source characterization studies. This paper focuses on the design of an emissions source characterization research project—The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS). The goal of the study is to evaluate spatial and meteorological effects of PM2.5 and BC pollutants on potential population exposures in a near-source environment. The research study has multiple unique characteristics including a 1-year duration, site-specific meteorological data, measurement of multiple air pollutant species, and usage of traditional sampling methods and instrumentation, lower-cost sensor packages, citizen science and mobile measurement techniques. Data presented are from October 24, 2017 to July 31, 2018.
URLs/Downloads:
DOI: The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS): Integration of Low-Cost Sensors and Reference Grade Monitoring in a Complex Metropolitan Area. Part 1: Overview of the Project
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