The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Emissions Inventory of PM2.5 Trace Elements across the United States
Abstract
This paper presents the first National Emissions Inventory (NEI) of fine particulate matter (PM2.5) that includes the full suite of PM2.5 trace elements (atomic number > 10) measured at ambient monitoring sites across the U.S. PM2.5 emissions in the NEI were organized and aggregated into a set of 84 source categories for which chemical speciation profiles are available (e.g., Unpaved Road Dust Agricultural Soil, Wildfires). Emission estimates for ten metals classified as Hazardous Air Pollutants (HAP) were refined using data from a recent HAP NEI. All emissions were spatially gridded, and U.S. emissions maps for dozens of trace elements (e.g., Fe, Ti) are presented for the first time. Nationally, the trace elements emitted in the highest quantities are silicon (3.8 x 10(5) ton/yr), aluminum (1.4 x 10(5) ton/yr), and calcium (1.3 x 10(5) ton/yr). Our chemical characterization of the PM2.5 inventory shows that most of the previously unspeciated emissions are comprised of crustal elements, potassium, sodium, chlorine, and metal-bound oxygen. This work also reveals that the largest PM2.5 sources lacking specific speciation data are off-road diesel-powered mobile equipment, road construction dust, marine vessels, gasoline-powered boats, and railroad locomotives.
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Cites
Fountoukis, C., & Nenes, A. (2007) · Atmospheric Chemistry and Physics · doi:10.5194/acp-7-4639-2007 · Cited by 1,800
Spatial and seasonal trends in particle concentration and optical extinction in the United States
Malm, W. C., Sisler, J. F., Huffman, D., Eldred, R. A., & Cahill, T. A. (1994) · Journal of Geophysical Research: Atmospheres · doi:10.1029/93jd02916 · Cited by 1,302
Airborne Particulate Matter and Human Health: A Review
Davidson, C. I., Phalen, R. F., & Solomon, P. A. (2005) · Aerosol Science and Technology · doi:10.1080/02786820500191348 · Cited by 803
Reff, A., Eberly, S. I., & Bhave, P. V. (2007) · Journal of the Air & Waste Management Association · doi:10.1080/10473289.2007.10465319 · Cited by 725
Self-citationSpatial and monthly trends in speciated fine particle concentration in the United States
Malm, W. C., Schichtel, B. A., Pitchford, M. L., Ashbaugh, L. L., & Eldred, R. A. (2004) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2003jd003739 · Cited by 391
Birmili, W., Allen, A. G., Bary, F., & Harrison, R. M. (2006) · Environmental Science & Technology · doi:10.1021/es0486925 · Cited by 386
Houyoux, M. R., Vukovich, J. M., Coats, C. J., Wheeler, N. J. M., & Kasibhatla, P. S. (2000) · Journal of Geophysical Research Atmospheres · doi:10.1029/1999jd900975 · Cited by 303
Self-citationThe chemical composition of atmospheric ultrafine particles
Cass, G. R., Hughes, L. A., Bhave, P., Kleeman, M. J., Allen, J. O., & Salmon, L. G. (2000) · Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2000.0670 · Cited by 187
Self-citationSources of Mercury Wet Deposition in Eastern Ohio, USA
Keeler, G. J., Landis, M. S., Norris, G. A., Christianson, E. M., & Dvonch, J. T. (2006) · Environmental Science & Technology · doi:10.1021/es060377q · Cited by 170
Dust emission inventory in Northern China
Xuan, J., Liu, G., & Du, K. (2000) · Atmospheric Environment · doi:10.1016/s1352-2310(00)00203-x · Cited by 119
Cited by
Bounding the role of black carbon in the climate system: A scientific assessment
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50171 · Cited by 6,385
Anthropogenic emission inventories in China: a review
Li, M., Liu, H., Geng, G., Hong, C., Liu, F., Song, Y., Tong, D., Zheng, B., Cui, H., Man, H., et al. (2017) · National Science Review · doi:10.1093/nsr/nwx150 · Cited by 1,304
The acidity of atmospheric particles and clouds
Pye, H. O. T., Nenes, A., Alexander, B., Ault, A. P., Barth, M. C., Clegg, S. L., Collett Jr., J. L., Fahey, K. M., Hennigan, C. J., Herrmann, H., et al. (2020) · Atmospheric Chemistry and Physics · doi:10.5194/acp-20-4809-2020 · Cited by 785
Molina, L. T., Madronich, S., Gaffney, J. S., Apel, E., de Foy, B., Fast, J., Ferrare, R., Herndon, S., Jimenez, J. L., Lamb, B., et al. (2010) · Atmospheric Chemistry and Physics · doi:10.5194/acp-10-8697-2010 · Cited by 375
Review on recent progress in observations, source identifications and countermeasures of PM2.5
Liang, C.-S., Duan, F.-K., He, K.-B., & Ma, Y.-L. (2016) · Environment International · doi:10.1016/j.envint.2015.10.016 · Cited by 375
Metadata
- Authors
- Reff, A., Bhave, P. V., Simon, H., Pace, T. G., Pouliot, G. A., Mobley, J. D., & Houyoux, M.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-07-06
- Volume
- 43
- Issue
- 15
- Pages
- 5790-5796
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2091227784
- Cited by
- 262
- References
- 19
- FWCI
- 4.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- Reff, A., Bhave, P. V., Simon, H., Pace, T. G., Pouliot, G. A., Mobley, J. D., & Houyoux, M. (2009). Emissions Inventory of PM2.5 Trace Elements across the United States. Environmental Science & Technology. https://doi.org/10.1021/es802930x
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