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Sources of variability in ambient air toxics monitoring data
Institution:1. School of Mathematics and Statistics, Northeast Normal University, 5268 Renmin Street, Changchun, Jilin, 130024, PR China;2. School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287-1804, USA;1. ScitoVation LLC, Six Davis Drive, PO Box 12878, Research Triangle Park, NC 27709, United States;2. ToxWorks, 1153 Roadstown Road, Bridgeton, NJ 08302, United States;3. Charles River, 640 N. Elizabeth St., Spencerville, OH 45887, United States;4. Exponent Inc., 5806 Woodberry Drive, Midland, MI 48640, United States;5. Shell International, 910 Louisiana Street, Houston, TX 77002, United States;6. Lyondell Chemical Company, Houston, TX 77010, United States;7. SABIC Innovative Plastics US LLC, Mount Vernon, IN 47620, United States;1. Department of Chemistry, College of Life Science and Technology, Jinan University, Guangzhou 510632, China;2. Center of Analysis and Test, Guangzhou 510632, China;3. Department of Environmental Engineering, Jinan University, Guangzhou 510632, China;4. Griffith School of Engineering, Griffith University, Nathan Campus, Brisbane, Queensland 4111, Australia;5. Research Center of Hydrobiology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
Abstract:Under the Clean Air Act Amendments, the United States Environmental Protection Agency is required to regulate emissions of 188 hazardous air pollutants. The EPA, Office of Air Quality Planning and Standards is currently conducting a National-scale Air Toxics Assessment with a goal to identify air toxics which are of greatest concern, in terms of contribution to population inhalation risk. The results will be used to set priorities for the collection of additional air toxics emissions and monitoring data. Expanded ambient air toxics monitoring will take the form of a national air toxics monitoring network. With all monitoring data, however, comes uncertainty in the form of environmental variability (spatial and temporal) and monitoring error (sample collection and laboratory analysis). With this in mind, existing data from the Urban Air Toxics Monitoring Program (UATMP) were analyzed to obtain a general understanding of these sources of variability and then provide recommendations for managing the data uncertainties of a national network. The results indicate that environmental variability, in particular temporal, comprises most of the overall variability observed in the UATMP data. However, at lower ambient levels (on the order of 0.1–0.5 ppbv or lower) environmental variability tends to dissipate and monitoring error takes over, most notably analytical error. Overall, the results suggest that common techniques in ambient air toxics monitoring for carbonyls and volatile organic compounds may satisfy many of the primary objectives of a national air toxics monitoring network.
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